1. Introduction
Compared with conventional propeller-based propulsion, bioinspired undulatory propulsion offers potential advantages in terms of low noise, high efficiency and enhanced compatibility with aquatic life. For missions such as ocean monitoring, hydrographic surveying, port security and nearshore resource exploration, underwater vehicles are often required to operate for extended durations at a fixed depth near the free surface. In addition, maintaining depth-locked cruising allows vehicles to remain at a prescribed near-surface optimal communication depth, thereby functioning as highly effective mobile communication relay stations (Wang et al. Reference Wang, Cheng, Yang, Pan and Zhang2023; Theocharidis & Kavallieratou Reference Theocharidis and Kavallieratou2025).
Designing bioinspired underwater vehicles for near-free-surface environments requires a thorough understanding of the propulsive mechanisms underlying marine animal locomotion in this regime. At present, numerical simulations of aquatic locomotion are primarily conducted using two physical modelling approaches: the tethered model and the self-propelled model. In the tethered model, the hydrofoil is fixed in a prescribed uniform inflow, and forward swimming at the imposed inflow speed is assumed when the resultant horizontal hydrodynamic force points towards the leading edge. As a classical modelling approach, the tethered model is well suited for preliminary investigations of novel or complex problems. However, in reality, marine animals move freely, with thrust, drag and inertial forces remaining in dynamic balance throughout locomotion, while the forward speed exhibits temporal fluctuations within each locomotion cycle. Compared with the tethered model, the self-propelled model iteratively solves the forward acceleration and velocity based on hydrodynamic forces, fully accounting for the dynamic coupling between the swimming body and the surrounding fluid, and therefore more realistically captures marine animal locomotion (Wei et al. Reference Wei, Li and Hu2024).
In recent years, numerous studies have performed hydrodynamic simulations of marine animal locomotion using self-propelled models. Carling et al. (Reference Carling, Williams and Bowtell1998) first numerically simulated the swimming of a two-dimensional eel within a self-propelled framework using a finite-difference method, in which the forward swimming speed was iteratively determined from hydrodynamic forces. Kern & Koumoutsakos (Reference Kern and Koumoutsakos2006) conducted comparative numerical simulations of two- and three-dimensional eels swimming using a self-propelled model. Yang et al. (Reference Yang, Wu, Yu and Tong2008) performed numerical simulations of self-propelled cod swimming and identified aligned, straight vortex streets in the wake. Liu et al. (Reference Liu, Yu and Tong2012) conducted numerical simulations of two-dimensional fish swimming and proposed a dimensionless parameter to evaluate propulsion efficiency within a self-propelled framework. Bhalla et al. (Reference Bhalla, Bale, Griffith and Patankar2013) developed the open-source code framework IBAMR and used the immersed boundary method to simulate the self-propelled swimming of a two-dimensional eel. Subsequently, this open-source framework has been widely adopted by researchers investigating aquatic locomotion (Wei et al. Reference Wei, Hu, Li, Zhang and Shi2023; Liu et al. Reference Liu, Gao and Yu2024; Chao & Li Reference Chao and Li2024). More recently, numerous additional studies have explored a wide range of phenomena using self-propelled models (Zhu et al. Reference Zhu, He and Zhang2014; Cui et al. Reference Cui, Gu, Li and Jiang2017; Zhang et al. Reference Zhang, Huang and Lu2017, Reference Zhang, Pan, Chao and Zhang2018; Wu et al. Reference Wu, Shu, Lee and Wan2022; Li et al. Reference Li, Liu and Yu2024; Yang et al. Reference Yang, Wu, Khedkar, Chao and Bhalla2024; Tekinalp et al. Reference Tekinalp, Bhosale, Cui, Chan and Gazzola2025).
Although extensive studies have been conducted on aquatic locomotion, most existing work has focused on unbounded flow conditions, while investigations into near-free-surface swimming mechanisms remain limited. Zhu et al. (Reference Zhu, Liu and Yue2006) reported that the propulsion performance of purely pitching and heaving airfoils deteriorates when operating near the free surface. Chung (Reference Chung2016) examined the effects of submergence depth and the phase angle between pitching and leading heave on the thrust and propulsion efficiency of a pitching–heaving rigid plate at
$\textit{Re}=1000$
under two Froude numbers. Esmaeilifar et al. (Reference Esmaeilifar, Djavareshkian, Feshalami and Esmaeili2017) performed hydrodynamic simulations of a purely heaving hydrofoil at various submergence depths and oscillation frequencies and reported that the presence of the free surface is unfavourable for propulsion enhancement. Huera-Huarte (Reference Huera-Huarte2023) designed an experimental system for a pitching flapping plate, measuring hydrodynamic forces using a force balance and visualising the flow field via particle image velocimetry; the results showed that propulsion efficiency decreases with decreasing submergence depth. Zheng et al. (Reference Zheng, He, Zhao, Shen and Zhu2024) conducted numerical simulations of pitching–heaving airfoils near the free surface and systematically investigated the effects of submergence depth and Froude number on propulsion performance, finding that efficient propulsion is more readily achieved at approximately
$\textit{Fr}=0.6$
. Qi et al. (Reference Qi, Xing, Wang, Chen, Li, Liu and Shang2025) reported the influence of dimensionless parameters, such as submergence depth and Strouhal number, on the propulsion performance of near-free-surface flapping plates, concluding that the presence of the free surface is detrimental to thrust generation. Liu et al. (Reference Liu, Zhang and Wang2025) investigated the effects of undulation frequency and submergence depth on the propulsion performance of an undulating hydrofoil near the free surface and found that the free surface weakens thrust production at high frequencies. Our previous work showed that the thrust coefficient of a hydrofoil decreases monotonically with decreasing submergence depth, a trend associated with the formation of a ‘P+S’-type wake vortex structure (Gao et al. Reference Gao, Sun, Zhang and Liu2025). Previous tethered studies have provided valuable insights into hydrodynamic mechanisms and propulsive performance under prescribed kinematics. However, because the swimming velocity is externally constrained, such configurations cannot capture the dynamic coupling between thrust generation, hydrodynamic resistance and cruising speed that characterises freely swimming organisms (Borazjani & Sotiropoulos Reference Borazjani and Sotiropoulos2008; Maertens et al. Reference Maertens, Triantafyllou and Yue2015; Paniccia et al. Reference Paniccia, Padovani, Graziani and Piva2021). Therefore, how a self-propelled hydrofoil adjusts its cruising speed and propulsion performance under near-free-surface conditions remains largely unexplored.
In addition, the spatial characteristics of body undulation play an important role in determining propulsion performance in aquatic locomotion (Shinde & Arakeri Reference Shinde and Arakeri2014). Previous studies have shown that variations in body-wave patterns can significantly influence the interaction between the body and surrounding fluid, thereby modifying thrust generation and propulsive efficiency (David et al. Reference David, Govardhan and Arakeri2017). The prescribed undulatory motion can be viewed as a continuum between travelling-wave deformation and rigid-body pitching motion. Following previous studies on undulatory propulsion (Thekkethil et al. Reference Thekkethil, Sharma and Agrawal2018), the present study uses the body-wave wavelength
$\lambda$
to characterise the spatial variation of the prescribed deformation. A smaller wavelength corresponds to a shorter travelling-wave pattern with more rapid spatial variation along the hydrofoil, whereas an increasing wavelength gradually reduces the phase variation along the body and approaches the rigid-body pitching limit.
In practice, simulating self-propelled aquatic locomotion near the free surface using classical grid-based methods is particularly challenging, as it requires not only overcoming mesh distortion caused by body deformation and large free-surface motions, but also introducing moving- or overset-mesh techniques to achieve self-propelled motion. As a mesh-free method, smoothed particle hydrodynamics (SPH) offers distinct advantages for capturing large free-surface deformations, with both the structure and the surrounding fluid represented in a particle-based framework, thereby simplifying the simulation procedure (He et al. Reference He, Liang, Ren, Li and Shao2023; Zhang et al. Reference Zhang, Yan and Ma2025; Gotoh et al. Reference Gotoh, Tsuruta, Yamanaka, Khayyer and Gotoh2025; Ren et al. Reference Ren, Li, Meng, Liu and Khoo2025; Cai et al. Reference Cai, Luo, Rubinato, Zhan and Khayyer2026; Meng et al. Reference Meng, Sun, Wang, Khoo and Zhang2026). These advantages come at the expense of a higher computational cost than conventional mesh-based methods because of the large number of particles and neighbour-search operations. In the present study, a typical case required approximately three days on eight central processing unit (CPU) cores. However, recent advances in GPU parallelisation have substantially improved the computational efficiency of SPH (Jung et al. Reference Jung, Kim, Park, Kim, Na and Hahn2024; Lu et al. Reference Lu, Wu, Liu and Zhu2024). In previous studies, the SPH method has been widely applied to simulations of bioinspired propulsion (Sun et al. Reference Sun, Colagrossi and Zhang2018; Huang et al. Reference Huang, Sun, Lyu and Zhang2022, Reference Huang, Sun, Lyu and Zhong2023; Gao et al. Reference Gao, Sun, Huang, Zhao, Xu and Zhong2024, Reference Gao, Sun, Zhang and Liu2025).
In this study, numerical simulations of a cruising undulating hydrofoil operating at a fixed depth near the free surface are performed using the
$\delta ^{+}$
-SPH model, focusing on the effects of the body-wave wavelength
$\lambda$
and dimensionless submergence depth
$H/L$
on propulsion performance and wake structures. Furthermore, a physics-informed reduced-order scaling relation is proposed to describe the dependence of cruising speed on the body-wave wavelength and submergence depth. The remainder of this paper is organised as follows: § 2 introduces the physical problem and numerical methodology; § 3 presents numerical validation results; § 4 analyses and discusses the results in terms of hydrodynamic characteristics and flow field structures; and § 5 draws the conclusions.
2. Problem description and numerical methods
2.1. Problem description
As illustrated in figure 1, a two-dimensional NACA0012 hydrofoil of chord length
$L$
is used to model an undulating aquatic body swimming near the free surface. Although many aquatic animals generate propulsion through lateral body undulations, the present vertically undulating configuration is particularly relevant to swimmers that employ dorsoventral motion, such as cetaceans. The model is therefore intended to investigate the hydrodynamic interaction between dorsoventral undulation and the free surface, rather than to provide a universal representation of aquatic locomotion. Recent animal-tracking studies further indicate that diverse marine vertebrates, including whales, preferentially travel at subsurface depths of approximately two to three body diameters, where wave drag and the associated energetic cost of transport are reduced (Stokes et al. Reference Stokes, Esteban, Casale, Chiaradia, Kaska, Kato, Luschi, Ropert-Coudert, Stokes and Hays2024).
The hydrofoil is positioned at a submergence depth of
$H$
. The computational domain has a length of
$24L$
and a depth of
$6L$
. The simulations are conducted in a fixed computational domain, with the hydrofoil translating freely in the streamwise direction under the computed hydrodynamic force. A preliminary simulation of the case with the highest cruising speed confirmed that the hydrofoil remained within the computational domain throughout the prescribed simulation period.
Schematic of a whale-inspired hydrofoil undergoing self-propelled swimming near the free surface.

Figure 1. Long description
A diagram of a whale-inspired hydrofoil undergoing self-propelled swimming near the free surface. The diagram includes a free surface at the top with a pressure of zero. Below the free surface is water, and an undulation foil with a no-slip condition is present. The foil has a horizontal length labeled L and a vertical height labeled H. The foil moves with a velocity Uc. On either side of the foil, there are damping zones with solid-wall boundaries. The left boundary has a free-slip condition, and the right boundary has a free-slip condition with partial derivatives of velocity normal to the boundary equal to zero. The substrate below the water also has a free-slip condition. The overall dimensions of the diagram are 24L in width and 6L in height, with damping zones each 2L wide.
Under the self-propelled model, the resultant external force
$\boldsymbol{F}$
and the total external moment
$\boldsymbol{M}$
acting on the hydrofoil determine its overall motion, and the governing equations are given as follows:
\begin{align} \left \{ \begin{aligned} & \frac {\textrm{d}}{\textrm{d}t}\int \boldsymbol{U}_{{c}}\rho _{\textit{f}}\,\textrm{d}V = \boldsymbol{F}, \\[6pt] & \frac {\textrm{d}}{\textrm{d}t}\int I\boldsymbol{\omega }_{{c}}\textrm{d}V = \boldsymbol{M}. \end{aligned} \right . \end{align}
Here,
$\boldsymbol{U}_{{c}}$
denotes the translational velocity of the hydrofoil centroid, and
$\boldsymbol{\omega }_{{c}}$
denotes the angular velocity of the hydrofoil body-fixed coordinate system relative to the inertial frame. Here
$\rho _f$
denotes the density of the hydrofoil, and
$I$
denotes the moment of inertia per unit volume. Since the present study focuses on the hydrodynamic performance of a hydrofoil cruising at a locked depth, only the degree of freedom in the forward direction is free, whereas the lateral and rotational motions remain constrained.
Following the work of Dong & Lu (Reference Dong and Lu2007) and Yu & Huang (Reference Yu and Huang2021), the motion of the hydrofoil is prescribed using an undulatory equation, which is given as follows:
Here,
$x^*$
denotes the streamwise coordinate of a point on the hydrofoil in the body-fixed coordinate system, and
$y^*$
denotes the lateral displacement of the hydrofoil midline. The parameter
$f$
denotes the undulation frequency of the hydrofoil, and
$k$
denotes the wavenumber, defined as
$k = 2\pi /\lambda$
, where
$\lambda$
is the undulation wavelength of the hydrofoil. The term
$A(x^*)$
represents the undulation amplitude along the hydrofoil midline as a function of the streamwise position and is given as follows:
Following Yu & Huang (Reference Yu and Huang2021), the coefficients are set to
$C_0 = 0.02$
,
$C_1 = 0.0825$
and
$C_2 = 0.1625$
. The undulation amplitude at the hydrofoil leading edge is set to
$A(0) = 0.02L$
, while the maximum trailing-edge amplitude is
$A_{\textit{max}} = 0.1L$
. The body envelopes corresponding to
$\lambda = 0.5, 1, 2$
and
$\infty$
are shown in figure 2. It can be observed that, as
$\lambda$
increases, the undulatory motion of the hydrofoil body gradually approaches pure pitching motion.
Schematic of the undulatory envelope of the hydrofoil midline.

The dimensionless parameters considered in this study include the dimensionless submergence depth
$H/L$
, the dimensionless body-wave wavelength
$\lambda /L$
and the Reynolds number
$\textit{Re} = \textit{UL}/\nu$
, where
$\nu$
is the kinematic viscosity. The characteristic velocity
$U$
is taken as the reference velocity
$U_{ref} = 1\,{\textrm{ms}^{-1}}$
. The gravitational acceleration
$g$
is fixed at
$9.81\,{\textrm{ms}^{-2}}$
.
2.2. Numerical method
The
$\delta ^{+}$
-SPH model solves the Navier–Stokes equations under the weakly compressible fluid assumption (Sun et al. Reference Sun, Colagrossi, Marrone and Zhang2017), and the governing equations are expressed as follows:
\begin{align} \left \{ \begin{aligned} \frac {{\rm {d}} \rho _i}{{\rm {d}}t} &= -\rho _i \sum _j (\boldsymbol{u}_j - \boldsymbol{u}_i) \boldsymbol{\cdot }\boldsymbol{\nabla} _i W_{ij} V_j + \delta h c_0 \mathbb{D}_i, \\ \frac {{{\rm {d}}} \boldsymbol{u}_i}{{\rm {d}}t} &= -\frac {1}{\rho _i} \sum _j \boldsymbol{F}(p_{\!j}, p_i) \boldsymbol{\nabla} _i W_{ij} V_j + \frac {\boldsymbol{F}_i^V}{\rho _i} + \boldsymbol{g}, \\ \frac {{\rm {d}} \boldsymbol{r}_i}{{\rm {d}}t} &= \boldsymbol{u}_i, \quad \boldsymbol{r}_i^* = \boldsymbol{r}_i + \delta \boldsymbol{r}_i, \\ p &= c_0^2 (\rho - \rho _0). \end{aligned} \right . \end{align}
The subscripts
$i$
and
$j$
denote a successfully interacting pair of particles. The operator
$\textrm{d}/\textrm{d}t$
denotes the material time derivative. The variables
$\rho _i$
,
$\boldsymbol{r}_i$
and
$\boldsymbol{u}_i$
denote the density, position and velocity vector of particle
$i$
, respectively. The kernel function
$W_{ij}$
is chosen as the Wendland C2 kernel (Wendland Reference Wendland1995), and the smoothing length is set to
$h_i = 2\Delta x$
, where
$\Delta x$
denotes the initial particle spacing. The smoothing length
$h$
is identical for all particles, i.e.
$h_i=h$
. The parameter
$\delta$
is the dimensionless density diffusion coefficient and is fixed at 0.1, following the recommendation of Antuono et al. (Reference Antuono, Colagrossi and Marrone2012). Owing to its narrow admissible range,
$\delta$
is not regarded as a tuneable parameter. The term
$\delta \boldsymbol{r}_i$
represents the particle shifting correction, the formulation of which can be found in our previous studies (Sun et al. Reference Sun, Colagrossi, Marrone and Zhang2017, Reference Sun, Colagrossi, Marrone and Zhang2019). The quantity
$\boldsymbol{r}_i^*$
denotes the final particle position after applying the particle shifting correction.
Following the
$\delta ^{+}$
-SPH formulation developed in our previous work (Sun et al. Reference Sun, Colagrossi, Marrone and Zhang2017), the free surface is naturally captured by the evolution of liquid particles without explicitly introducing an air phase or additional free-surface boundary particles. The atmospheric pressure condition is satisfied implicitly through the weakly compressible formulation. To preserve the free-surface geometry during particle shifting, the shifting correction for particles near the interface is restricted to the tangential direction, while the normal component is suppressed. This treatment improves numerical stability during large-amplitude free-surface deformation and wave-breaking events.
The pressure
$p$
and density
$\rho$
are related through an equation of state, in which the artificial speed of sound
$c_0$
is determined by the following expression:
Here,
$\rho _0$
denotes the reference density at the free surface. Here
$u_{\textit{max}}$
denotes the expected maximum velocity in the flow field, and
$p_{\textit{max}}$
denotes the expected maximum pressure in the flow field.
To suppress high-frequency oscillations in the density and pressure fields, a density diffusion term
$\mathbb{D}_i$
is introduced into the continuity equation, following the formulation proposed in previous studies (Antuono et al. Reference Antuono, Marrone, Colagrossi and Bouscasse2015). To ensure numerical stability of the free-surface solution during wave overturning and breaking, artificial viscosity is applied to particle pairs that include at least one free-surface particle, and the resulting viscous force
$\boldsymbol{F}_{i}^{V}$
is expressed as follows:
\begin{align} \boldsymbol{F}_{i}^{V}= \begin{cases} \left (K\mu +\alpha_{AV} c_{0}h\rho _{0}\right )\sum _{j}\pi _{ij}\boldsymbol{\nabla} _{i}W_{ij}V_{j}, & i\, \textrm{ or }\, j \in S_F, \\ K\mu \sum _{j}\pi _{ij}\boldsymbol{\nabla} _{i}W_{ij}V_{j}, & \textrm{else}. \end{cases} \end{align}
Here,
$\alpha_{AV}$
is set to 0.02 following Marrone et al. (Reference Marrone, Antuono, Colagrossi, Colicchio, Le Touzé and Graziani2011). The parameter
$\mu$
denotes the dynamic viscosity. The constant
$K$
is defined as
$K=2(n+2)$
, where
$n$
denotes the spatial dimension, yielding
$K=6$
,
$8$
and
$10$
in one-, two- and three-dimensional problems, respectively (Monaghan (Reference Monaghan2005), p. 1741 ); see also Macia et al. (Reference Macia, Antuono, González and Colagrossi2011) and Colagrossi et al. (Reference Colagrossi, Antuono, Souto-Iglesias and Le Touzé2011). The set
$S_F$
represents the collection of free-surface particles, which can be identified using the method proposed by Marrone et al. (Reference Marrone, Colagrossi, Le Touzé and Graziani2010). The term
$\pi _{ij}$
is defined as follows:
To overcome numerical voids induced by tensile instability in the flow field, as well as vorticity noise and excessive numerical viscous dissipation arising in regions of high hydrostatic pressure, the pressure term
$\boldsymbol{F}(p_{\!j},p_i)$
is discretised using the pressure difference formulation (PDF) proposed by Sun et al. (Reference Sun, Ming, Zhang and Wang2019). The PDF model is defined as follows:
\begin{align} \boldsymbol{F}(p_{\!j},p_i)= \begin{cases} p_{\!j}+p_i,\quad i\in N_F ,\\ p_{\!j}-p_i,\quad i\not \in N_F. & \end{cases} \end{align}
Here,
$N_F$
denotes the artificially broadened free-surface region with a thickness of
$2h$
, where
$h$
is the smoothing length.
In addition, surface tension is neglected in the present simulations. As in many conventional free-surface SPH formulations, only the liquid phase is considered, whereas the gas phase is not explicitly resolved. At the present length scale (
$L=1\,\textrm{m}$
), both the Bond and Weber numbers are much greater than unity, indicating that gravitational and inertial forces dominate over capillary effects. Therefore, neglecting surface tension is not expected to significantly affect the principal propulsion characteristics or the large-scale wake dynamics.
Regarding computational cost, all simulations were performed using eight CPU cores in parallel. A typical simulation required approximately three days of wall-clock time to complete.
2.3. Boundary conditions
As shown in figure 1, the computational domain is bounded by solid walls on the left, right and bottom, while the upper boundary is a free surface. The free surface satisfies the atmospheric pressure condition,
$p=0$
. Solid boundaries are implemented using the fixed ghost-particle technique of Adami et al. (Reference Adami, Hu and Adams2012). The hydrofoil surface satisfies the no-slip condition,
$\boldsymbol{u}=\boldsymbol{u}_b$
, where
$\boldsymbol{u}_b$
is the hydrofoil surface velocity. The fluid is initially quiescent, and the hydrofoil propels itself forward through its prescribed undulatory motion; therefore, no inflow or outflow boundary is required. The left, right and bottom walls are treated as free-slip boundaries, satisfying
$\boldsymbol{u}\boldsymbol{\cdot }\boldsymbol{n}=0$
and
$\partial \boldsymbol{u}_t/\partial n=0$
, where
$\boldsymbol{n}$
and
$\boldsymbol{u}_t$
denote the wall-normal direction and tangential velocity, respectively. In addition, finite-length artificial damping zones are introduced adjacent to the left and right solid-wall boundaries to suppress wave reflections. Following the additional dissipation method proposed by Wen & Ren (Reference Wen and Ren2014), a damping term is added to the momentum equation within the artificial damping zones,
where the unified spatial weighting function
$\alpha_s (x_i)$
is defined as
\begin{align} \alpha_s (x_i)= \begin{cases} \dfrac {x_{0,\textit{left}}-x_i}{L_s}, & x_{0,\textit{left}}-L_s \le x_i \le x_{0,\textit{left}}, \\[6pt] \dfrac {x_i-x_{0,\textit{right}}}{L_s}, & x_{0,\textit{right}} \le x_i \le x_{0,\textit{right}}+L_s, \\[6pt] 0, & \textrm{otherwise}. \end{cases} \end{align}
Here,
$L_s$
denotes the length of the artificial damping zone, while
$x_{0,\textit{left}}$
and
$x_{0,\textit{right}}$
represent the streamwise coordinates of the starting locations of the left and right damping zones, respectively. Following Wen & Ren (Reference Wen and Ren2014),
$L_s$
is maintained to be greater than
$1.5$
times the dominant wave wavelength, and the damping coefficient
$\xi$
is set to
$0.6$
.
Near the free surface, the PDF model introduced above may induce numerical instabilities (Colagrossi et al. Reference Colagrossi, Antuono and Le Touzé2009); therefore, the free surface is locally broadened. As shown in figure 3,
$N_F$
denotes the free-surface region extended by
$2h$
. Within this broadened free-surface region, the conventional pressure discretisation scheme is retained, namely
$\boldsymbol{F}(p_{\!j},p_i)=p_{\!j}+p_i$
.
Illustration of the free-surface region after broadening.

3. Validation
To validate the accuracy of the SPH framework in simulating self-propelled hydrofoil motion near the free surface, the modules responsible for free-surface modelling and self-propelled hydrofoil motion are validated separately. In our previous work, numerical simulations of a NACA0012 airfoil with an angle of attack operating near the free surface, as well as an undulating NACA0012 airfoil in a uniform inflow, were performed using the
$\delta ^{+}$
-SPH model (Sun et al. Reference Sun, Ming, Zhang and Wang2019). The simulation results showed good agreement with those reported in previous studies (Yang & Stern Reference Yang and Stern2007; Dong & Lu Reference Dong and Lu2007). In addition, hydrodynamic simulations of self-propelled swimming in an unbounded domain were conducted at
$\textit{Re} = 5000$
, with the undulation frequency set to
$f = 2\,\textrm{Hz}$
and the trailing-edge amplitude set to
$0.1L$
. As shown in figure 4, the computed cruising speed of the hydrofoil shows good agreement with previously reported results (Zhao et al. Reference Zhao, Chen, Yang, Liu and Shu2021; Wu et al. Reference Wu, Shu, Lee and Wan2022). The slight discrepancy during the transient acceleration stage is mainly attributed to the different start-up functions adopted in the present study and the reference work. These functions primarily affect the transient response while having a negligible influence on the final cruising speed.
Time evolution of the self-propelled cruising speed of the hydrofoil, compared with results reported in the literature (Zhao et al. Reference Zhao, Chen, Yang, Liu and Shu2021; Wu et al. Reference Wu, Shu, Lee and Wan2022).

Furthermore, particle-spacing independence is assessed at three resolutions,
$L/\Delta x=100$
,
$200$
and
$400$
, for the case
$\textit{Re}=4000$
,
$H/L=0.4$
and
$\lambda /L=1$
. The undulatory motion is prescribed by (2.2). Figure 5 compares the corresponding cruising-speed histories, while figure 6 presents enlarged views of the initial particle distributions near the hydrofoil trailing edge. These snapshots demonstrate the progressive refinement of the trailing-edge geometry and the adjacent particle distribution with decreasing particle spacing. The cruising-speed histories indicate that the solution is essentially converged at
$L/\Delta x=200$
; this resolution is therefore adopted to balance numerical accuracy and computational cost.
Time evolution of the self-propelled swimming speed of the hydrofoil at three particle resolutions (
$L/\Delta x = 100$
,
$L/\Delta x = 200$
and
$L/\Delta x = 400$
).

Enlarged views of the initial particle distributions near the hydrofoil trailing edge for three particle resolutions: (a)
$L/\Delta x=100$
, (b)
$L/\Delta x=200$
and (c)
$L/\Delta x=400$
.

To assess the adequacy of the computational domain and damping treatment, additional simulations were performed for the representative case
$\lambda /L=5$
and
$H/L=0.4$
. The baseline configuration, with a total domain size of
$24L\times 6L$
and damping zones of width
$L_s=2L$
at both streamwise ends, was compared with an enlarged domain of
$30L\times 10L$
and a configuration with an increased damping-zone width of
$L_s=3L$
. As shown in figure 7, the cruising-speed histories for the three configurations are nearly indistinguishable, demonstrating that the adopted domain size and damping-zone width have negligible effects on the predicted cruising speed.
Time histories of the normalised cruising speed for
$\lambda /L=5$
and
$H/L=0.4$
with different domain sizes and damping-zone widths.

4. Results
4.1. Cruise propulsion performance
This study focuses on the effects of the dimensionless submergence depth
$H/L$
and dimensionless wavelength
$\lambda /L$
on hydrofoil propulsion performance. A total of eight dimensionless submergence depths and nine dimensionless wavelengths are considered, with the parameter settings summarised in table 1. In the simulations, the undulation frequency is set to
$f = 2\,\textrm{Hz}$
, and the trailing-edge amplitude is set to
$0.1L$
. This combination corresponds to a Strouhal number of
$St=0.4$
, which lies within the range
$0.2 \leq St \leq 0.4$
commonly associated with high propulsive efficiency in aquatic locomotion (Anderson et al. Reference Anderson, Streitlien, Barrett and Triantafyllou1998). The Reynolds number is fixed at
$\textit{Re}=4000$
, which lies within the representative range of
$10^3$
–
$10^4$
for the present study. Previous studies have shown that, within this Reynolds number range, the large-scale wake topology remains essentially unchanged, while the hydrodynamic forces exhibit similar trends in response to variations in kinematic parameters (Anderson et al. Reference Anderson, Streitlien, Barrett and Triantafyllou1998; Zhang et al. Reference Zhang, Pan, Chao and Zhang2018). Therefore,
$\textit{Re}=4000$
is sufficient to capture the dominant flow physics and investigate the underlying propulsion mechanisms.
The specific values of the governing parameters applied in current simulations.

Table 1. Long description
Panel A: Table. The table lists parameters and their specifications. Parameters include Reynolds number, dimensionless submergence depth, dimensionless wavelength, undulation frequency, trailing-edge amplitude. Specifications are provided for each parameter, such as Reynolds number set to 4000, dimensionless submergence depths ranging from 0.4 to 2.5, and dimensionless wavelengths ranging from 0.5 to infinity. The undulation frequency is set to 2 Hz, and the trailing-edge amplitude is set to 0.1.
The dimensionless lift coefficient acting on the hydrofoil is defined as follows:
The variables
$F_T$
and
$F_L$
denote the resultant forces acting on the hydrofoil in the forward swimming and lateral directions, respectively. Following Liu et al. (Reference Liu, Yu and Tong2012), the swimming efficiency is quantified using the energy-utilisation ratio
$\eta$
. This metric is adopted because the present study focuses on self-propelled cruising. Under these conditions, the cycle-averaged net thrust approaches zero because thrust and drag are balanced, which makes the conventional Froude efficiency unsuitable. The physical meaning of the energy-utilisation ratio is defined as the ratio of the swimming distance
$l$
travelled by the hydrofoil over one tail-beat cycle to the total energy consumption per unit mass
$W_t/m$
, which can be expressed as follows:
The dimensionless energy-utilisation ratio is defined as
$\tilde {\eta } = L\eta /T^2$
. The total power consumption
$P_t$
is defined as follows:
Here,
$S$
denotes the surface of the hydrofoil,
$\boldsymbol{\sigma }$
represents the surface stress tensor acting on the hydrofoil,
$\boldsymbol{n}$
denotes the outward unit normal vector on the body surface and
$\boldsymbol{u_b}$
denotes the surface velocity of the hydrofoil. The input power coefficient
$C_P$
is defined as follows:
All cycle-averaged quantities are evaluated after the initial acceleration stage, once the self-propelled motion has reached a statistically steady state, using data from four subsequent undulation cycles. Figure 8(a) shows the variation of the cycle-averaged cruising speed
$\overline {U_c}$
with submergence depth
$H/L$
for four selected dimensionless wavelengths
$\lambda /L$
. Overall, the cruising speed
$\overline {U_c}$
increases monotonically with increasing submergence depth
$H/L$
for all wavelengths considered. For
$\lambda /L = 0.5$
, 1 and 2, the increase in
$\overline {U_c}$
is more pronounced within
$0.4 \lt H/L \lt 0.6$
than over the broader range
$0.6 \lt H/L \lt 2.5$
. When
$\lambda /L = \infty$
, the hydrofoil deformation can be regarded as pure pitching motion, and within
$0.4 \lt H/L \lt 1$
, the increase in
$\overline {U_c}$
with
$H/L$
becomes even more pronounced. For
$\lambda /L = 0.5$
, 1 and 2, at a given submergence depth
$H/L$
, a larger wavelength consistently results in a higher cruising speed
$\overline {U_c}$
. Interestingly, an exception is observed for
$\lambda /L = \infty$
. Specifically, at
$H/L = 0.6$
, the cruising speed
$\overline {U_c}$
for
$\lambda /L = \infty$
lies between those for
$\lambda /L = 1$
and
$\lambda /L = 2$
, whereas at
$H/L = 0.4$
, it falls between
$\lambda /L = 0.5$
and
$\lambda /L = 1$
. These observations indicate that the presence of the free surface is generally detrimental to hydrofoil propulsion speed, and that its weakening effect becomes more pronounced with increasing body-wave wavelength. As the submergence depth increases, the inhibiting influence of the free surface on cruising speed is gradually reduced. This trend is qualitatively consistent with the experimental observations of Huera-Huarte (Reference Huera-Huarte2023), who reported that the thrust generated by a pitching foil decreased as it approached the free surface.
To further investigate the influence of body-wave wavelength on the cruising speed
$\overline {U_c}$
, four representative dimensionless submergence depths
$H/L$
are selected, and the variation of
$\overline {U_c}$
with
$\lambda /L$
is examined. The results are presented in figure 8(b), where open symbols denote
$\lambda /L = \infty$
. It can be observed that, for a given wavelength
$\lambda /L$
, a larger submergence depth
$H/L$
consistently corresponds to a higher cruising speed
$\overline {U_c}$
. At
$H/L = 2.5$
,
$\overline {U_c}$
increases monotonically with
$\lambda /L$
. When
$\lambda /L \lt 2$
,
$\overline {U_c}$
is relatively sensitive to changes in
$\lambda /L$
, whereas for
$\lambda /L \gt 2$
, the influence of further increases becomes weaker. The cruising speed
$\overline {U_c}$
for
$\lambda /L = \infty$
is slightly higher than that for
$\lambda /L = 8$
, but the two values are very close, indicating convergence of
$\overline {U_c}$
with increasing
$\lambda /L$
. These trends are consistent with observations reported by Thekkethil et al. (Reference Thekkethil, Sharma and Agrawal2018) under unbounded flow conditions. When the hydrofoil operates closer to the free surface, the trend changes markedly. For
$H/L = 0.8$
,
$\overline {U_c}$
increases with
$\lambda /L$
over
$0.5 \lt \lambda /L \lt 5$
, but decreases as
$\lambda /L$
increases further, and the cruising speed for
$\lambda /L = \infty$
becomes lower than that for
$\lambda /L = 8$
. Similar non-monotonic trends are observed for
$H/L = 0.6$
and
$0.4$
, where
$\overline {U_c}$
first increases and then decreases with
$\lambda /L$
. For
$H/L = 0.6$
, values of
$\lambda /L$
between 3 and 5 yield the highest cruising speeds, whereas for
$H/L = 0.4$
, optimal performance is achieved at
$\lambda /L = 2$
. These results indicate that, under near-free-surface conditions, an optimal wavelength
$\lambda ^*/L$
exists at each submergence depth
$H/L$
to ensure high-speed propulsion. Moreover, as the submergence depth
$H/L$
decreases, the optimal wavelength corresponding to the maximum cruising speed exhibits a decreasing trend. In addition, for
$\lambda /L \lt 2$
, the rate at which
$\overline {U_c}$
increases with
$\lambda /L$
gradually diminishes as
$H/L$
decreases, suggesting that the free surface suppresses the speed gains associated with increasing wavelength.
(a) Variation of the time-averaged cruising speed
$\overline {U_c}$
with
$H/L$
at selected values of
$\lambda /L$
; (b) variation of the time-averaged cruising speed
$\overline {U_c}$
with
$\lambda /L$
at selected values of
$H/L$
(open symbols denote
$\lambda = \infty$
).

Figure 8. Long description
Panel A: A line graph shows the variation of the time-averaged cruising speed with H/L at selected values of λ/L. The x-axis represents H/L, and the y-axis represents the time-averaged cruising speed normalized by a reference speed. Different symbols and colors represent different values of λ/L. Panel B: Another line graph shows the variation of the time-averaged cruising speed with λ/L at selected values of H/L. The x-axis represents λ/L, and the y-axis represents the time-averaged cruising speed normalized by a reference speed. Different symbols and colors represent different values of H/L. Open symbols denote specific conditions.
Figure 9(a) presents the variation of the cycle-averaged input power coefficient
$\overline {C_P}$
with submergence depth
$H/L$
for four dimensionless wavelengths
$\lambda /L$
. Overall, at a given submergence depth, a larger wavelength consistently results in a higher
$\overline {C_P}$
, while
$\overline {C_P}$
decreases monotonically as the submergence depth decreases. This trend suggests that swimming near the free surface has the potential to improve propulsion efficiency, consistent with previous results obtained using tethered models (Zheng et al. Reference Zheng, He, Zhao, Shen and Zhu2024; Gao et al. Reference Gao, Sun, Zhang and Liu2025). In viscous fluid dynamics, added mass arises from the additional kinetic energy imparted to the surrounding fluid by a moving solid body. For a sphere moving near a free surface, the added mass can be expressed as
$M_H=(2/3)K_H\pi r^3\rho _w$
, where the coefficient
$K_H$
depends on the dimensionless submergence depth
$H/(2r)$
. As
$H/(2r)$
decreases,
$K_H$
decreases, indicating that the added mass is reduced when the body approaches the free surface (Brennen Reference Brennen1982). Although the present problem involves prescribed body deformation, unsteady vortex shedding and nonlinear free-surface motion, for which the classical added-mass theory is not expected to provide a quantitative description, the above analogy offers a useful qualitative interpretation of the observed trend. This mechanism can partially explain the reduction in
$\overline {C_P}$
observed for hydrofoils undulating near the free surface. Because the pressure at the free surface is zero and the surface is deformable, fluid motion normal to the surface becomes easier as the hydrofoil approaches it, which is qualitatively consistent with a reduction in the corresponding added mass. The classical added-mass analogy suggests that a smaller added mass reduces the inertial work required to accelerate the surrounding fluid during undulatory motion, thereby providing a possible physical interpretation for the observed reduction in the input power.
To further investigate the influence of
$\lambda /L$
on
$\overline {C_P}$
, the variation of
$\overline {C_P}$
with
$\lambda /L$
at four submergence depths
$H/L$
is shown in figure 9(b), where open symbols denote
$\lambda /L = \infty$
. Overall, for all values of
$\lambda /L$
, a deeper submergence depth
$H/L$
consistently leads to a higher cycle-averaged input power coefficient
$\overline {C_P}$
. In addition, at a given submergence depth,
$\overline {C_P}$
increases monotonically with
$\lambda /L$
. For all submergence depths considered,
$\overline {C_P}$
for
$\lambda /L = \infty$
is significantly higher than that for
$\lambda /L = 8$
. Under near-free-surface conditions, the effect of
$\lambda /L$
on
$\overline {C_P}$
is consistent with that observed in unbounded flows (Thekkethil et al. Reference Thekkethil, Sharma and Agrawal2018). As
$\lambda /L$
increases, the active undulatory motion progressively approaches rigid-body pitching. This transition results in a larger effective contact area and stronger interaction between the hydrofoil and the surrounding fluid during flapping, thereby increasing the required input power.
(a) Variation of the time-averaged input power coefficient
$\overline {C_P}$
with
$H/L$
at selected values of
$\lambda /L$
; (b) variation of the time-averaged input power coefficient
$\overline {C_P}$
with
$\lambda /L$
at selected values of
$H/L$
(open symbols denote
$\lambda = \infty$
).

Figure 10(a) shows the variation of the efficiency
$\tilde {\eta }$
with submergence depth
$H/L$
for four wavelengths
$\lambda /L$
. Overall, at a given submergence depth
$H/L$
, higher efficiency
$\tilde {\eta }$
consistently corresponds to a smaller wavelength
$\lambda /L$
. Notably, for all wavelengths considered, the efficiency
$\tilde {\eta }$
exhibits a non-monotonic dependence on submergence depth, first increasing and then decreasing, indicating the existence of an optimal submergence depth
$H^*/L$
that maximises propulsion efficiency. As
$\lambda /L$
increases, the optimal submergence depth
$H^*/L$
increases. Specifically,
$H^*/L \approx 0.6$
for
$\lambda /L \approx 0.5$
,
$H^*/L \approx 0.8$
for
$\lambda /L \approx 1$
, and
$H^*/L \approx 1$
for both
$\lambda /L = 2$
and
$\lambda /L = \infty$
. These results indicate that an undulating hydrofoil can achieve efficiency gains when cruising at an appropriate distance below the free surface, compared with unbounded-flow conditions. Since the submergence depths are sampled discretely, with a spacing of
$0.2L$
in the shallow-submergence range and coarser spacing at larger depths, the exact optimal submergence depth cannot be directly obtained from the computed data. Therefore, for each wavelength, the propulsive-efficiency curve is fitted with a local quadratic polynomial, from which the corresponding optimal submergence depth is estimated. In addition to the four wavelength cases discussed above, five additional cases (
$\lambda /L=0.75$
, 1.5, 3, 5 and 8) are analysed in the same manner. The resulting nine estimated optimal submergence depths are then fitted using an empirical exponential function with saturation characteristics. The functional form is given as follows:
Here,
$a$
and
$b$
are fitting parameters. The fitting procedure yields
$a = 0.310$
and
$b = 0.718$
. Figure 11 illustrates the variation of the optimal submergence depth
$H^*/L$
with increasing
$\lambda /L$
. It can be observed that when
$\lambda /L \lt 2$
,
$H^*/L$
is relatively sensitive to variations in
$\lambda /L$
, whereas for
$\lambda /L \gt 2$
,
$H^*/L$
gradually approaches
$1.1$
. The observed dependence on submergence depth also has clear biological relevance. Recent animal-tracking studies have shown that non-foraging marine reptiles, birds and mammals tend to travel at fixed subsurface depths that reduce wave drag and the associated cost of transport (Stokes et al. Reference Stokes, Esteban, Casale, Chiaradia, Kaska, Kato, Luschi, Ropert-Coudert, Stokes and Hays2024). This optimum occurs neither immediately beneath the free surface, where wave-induced energy losses are pronounced, nor under deep-water conditions. This behaviour is qualitatively consistent with the present results, which reveal an optimal cruising depth at which propulsive efficiency is maximised. The present findings therefore provide a hydrodynamic explanation for why marine animals may select an intermediate submergence depth during sustained travel.
Figure 10(b) shows the variation of the efficiency
$\tilde {\eta }$
with wavelength
$\lambda /L$
at five submergence depths
$H/L$
. Overall, variations in
$\lambda /L$
have a more pronounced effect on the efficiency
$\tilde {\eta }$
than changes in
$H/L$
. For a fixed
$\lambda /L$
, comparison between submergence depths indicates that when
$\lambda /L = 0.5$
, the case with
$H/L = 0.6$
yields the highest efficiency
$\tilde {\eta }$
, whereas the efficiency at
$H/L = 2.5$
is significantly lower than that at the other four depths. However, when
$\lambda /L$
increases to 8 and beyond, the efficiency
$\tilde {\eta }$
at
$H/L = 2.5$
consistently exceeds that at the other four submergence depths. This result further indicates that the optimal submergence depth for maximum cruising efficiency depends strongly on the body-wave wavelength. Hydrofoils with shorter wavelengths tend to achieve their maximum efficiency at shallower submergence depths, whereas longer wavelengths generally require larger submergence depths to attain optimal efficiency. At all submergence depths considered,
$\tilde {\eta }$
decreases monotonically with increasing
$\lambda /L$
. It is worth noting that when
$\lambda /L \lt 1$
, decreasing
$\lambda /L$
at
$H/L = 2.5$
results in a slower increase in
$\tilde {\eta }$
compared with the other submergence depths. Although decreasing the wavelength generally enhances cruising efficiency, beyond a certain submergence depth and sufficiently small wavelength, further reductions yield diminishing efficiency gains. This behaviour is consistent with observations reported for unbounded flows (Thekkethil et al. Reference Thekkethil, Sharma and Agrawal2018). In practice, the efficiency gain associated with decreasing wavelength is bounded; once the wavelength is reduced beyond a certain threshold, the efficiency reaches a maximum. The additional result at
$H/L=1.5$
further indicates that the diminishing efficiency gain associated with decreasing wavelength becomes evident at approximately this submergence depth. As highlighted in the magnified view, although reducing
$\lambda /L$
continues to improve the propulsion efficiency, the corresponding efficiency gain becomes noticeably smaller than that at shallower submergence depths.
(a) Variation of the efficiency
$\tilde {\eta }$
with
$H/L$
for selected values of
$\lambda /L$
; vertical dotted lines indicate the optimal submergence depths. (b) Variation of
$\tilde {\eta }$
with
$\lambda /L$
for selected values of
$H/L$
; open symbols denote the case with
$\lambda /L=\infty$
.

Figure 10. Long description
Panel A: A line graph shows the variation of efficiency with submergence depths for selected values of a dimensionless parameter. The x-axis represents the ratio of submergence depth to length (H/L), and the y-axis represents the efficiency (η). Vertical dotted lines indicate optimal submergence depths. Different markers and line styles represent different values of the dimensionless parameter (λ/L). Panel B: Another line graph shows the variation of a parameter with the dimensionless parameter for selected values of the submergence depth ratio. The x-axis represents the dimensionless parameter (λ/L), and the y-axis represents the parameter (η). Open symbols denote the case with infinite submergence depth ratio (H/L = ∞). Different markers and line styles represent different values of the submergence depth ratio (H/L).
Evolution of the optimal submergence depth
$H^*/L$
with the wavelength
$\lambda /L$
.

4.2. Cruise stability analysis
Figure 12(a) shows the variation of the cycle-averaged lift coefficient
$\overline {C_L}$
with submergence depth
$H/L$
for four wavelengths
$\lambda /L$
. It is observed that when the hydrofoil cruises close to the free surface, it is consistently subjected to an attractive force directed towards the surface. For all wavelengths considered, this attractive force decreases with increasing submergence depth. In essence, the presence of a free surface induces asymmetry in the computational domain, which gradually diminishes as the submergence depth increases, causing the attractive force to approach zero. To further examine the influence of wavelength, figure 12(b) presents the variation of the cycle-averaged lift coefficient
$\overline {C_L}$
with wavelength
$\lambda /L$
at four submergence depths
$H/L$
. With a denser sampling of wavelength values, it is found that for all four submergence depths,
$\overline {C_L}$
increases monotonically with
$\lambda /L$
. At
$H/L = 0.4$
, where the free-surface-induced flow asymmetry is relatively strong,
$\overline {C_L}$
for
$\lambda /L = \infty$
is significantly larger than that for
$\lambda /L = 8$
. In contrast, for
$H/L = 0.6$
, 0.8 and 2.5,
$\overline {C_L}$
for
$\lambda /L = \infty$
and
$\lambda /L = 8$
are nearly identical. This indicates that, at each submergence depth,
$\overline {C_L}$
ultimately converges to an approximately constant value with increasing
$\lambda /L$
. During cruising, maintaining the hydrofoil at a fixed depth requires a vertical force balance to counteract this attractive force. In general, two strategies can be employed: adjusting the angle of attack or modifying the displaced volume. As the submergence depth
$H/L$
decreases and the wavelength
$\lambda /L$
increases, a larger negative angle of attack or greater fluid intake into the vessel’s compartment is necessary to maintain cruising stability.
(a) Variation of the cycle-averaged lift coefficient
$\overline {C_L}$
with
$H/L$
at selected values of
$\lambda /L$
; (b) variation of the cycle-averaged lift coefficient
$\overline {C_L}$
with
$\lambda /L$
at selected values of
$H/L$
(open symbols denote
$\lambda = \infty$
).

Figure 12. Long description
Panel A: A line graph shows the variation of the cycle-averaged lift coefficient with H/L at selected values of λ/L. The x-axis represents H/L ranging from 0 to 2.5, and the y-axis represents the cycle-averaged lift coefficient ranging from 0 to 0.6. Different symbols and line styles represent different values of λ/L (0.5, 1, 2, and ∞). The graph shows a general trend of decreasing lift coefficient with increasing H/L. Panel B: Another line graph shows the variation of the cycle-averaged lift coefficient with λ/L at selected values of H/L. The x-axis represents λ/L ranging from 0 to 9, and the y-axis represents the cycle-averaged lift coefficient ranging from 0 to 0.7. Different symbols and line styles represent different values of H/L (0.4, 0.6, 0.8, and 2.5). The graph shows a general trend of increasing lift coefficient with increasing λ/L.
Figure 13 shows the temporal evolution of the lift coefficient
$C_L$
over one undulation cycle at
$\lambda /L = 1$
for four submergence depths, namely
$H/L = 0.4$
, 0.6, 0.8 and 2.5. Within a single cycle,
$C_L$
exhibits one peak and one trough, with the absolute magnitude of the peak consistently exceeding that of the trough. The undulatory motion of the hydrofoil during the first half of the cycle is also illustrated, revealing that the trough of
$C_L$
occurs when the trailing edge flaps towards the free surface. Because the free surface can deform in response to the hydrofoil motion, a pressure-release-like effect is induced, weakening the interaction between the hydrofoil and the surrounding fluid. For different submergence depths
$H/L$
, the peak lift coefficient remains nearly unchanged, whereas the primary differences arise from the trough values. As
$H/L$
decreases, the trough of
$C_L$
increases gradually. This trend is qualitatively consistent with the reduced added mass near the free surface, although unsteady vortex dynamics and free-surface deformation may also contribute. It is this increase in the trough of
$C_L$
during the first half of the cycle, as
$H/L$
decreases, that causes the hydrofoil to experience an attractive force towards the free surface, which increases monotonically with decreasing
$H/L$
.
Time histories of the lift coefficient
$C_L$
over one undulation cycle for four different submergence depths
$H/L$
at
$\lambda /L = 1$
.

During self-propelled undulatory motion, the net streamwise force acting on the hydrofoil is nearly zero, and the input power is strongly correlated with the lift force. Figure 14 shows the temporal evolution of the input power coefficient
$C_P$
over one undulation cycle for
$\lambda /L = 1$
at four submergence depths, namely
$H/L = 0.4$
, 0.6, 0.8 and 2.5. Overall, consistent with the behaviour of
$C_L$
, the input power coefficient
$C_P$
exhibits two distinct peaks within a single cycle. During the first half of the cycle, as illustrated in figure 14, the trailing edge of the hydrofoil flaps upward towards the free surface. For all values of
$H/L$
, the first peak of
$C_P$
is consistently smaller than the second peak, because the free surface deforms in response to the hydrofoil motion and releases pressure in the fluid above the hydrofoil. Among different submergence depths, the most pronounced differences are observed in the first peak of
$C_P$
. As
$H/L$
decreases, the first peak of
$C_P$
decreases monotonically, which is qualitatively consistent with the reduction in the effective added mass near the free surface.
Time histories of the input power coefficient
$C_P$
over one undulation cycle for four different submergence depths
$H/L$
at
$\lambda /L = 1$
.

4.3. Vortical structures and stream velocities
The wake vortex structures generated by the hydrofoil are closely linked to its self-propelled performance. Figure 15(a–p) presents the vorticity (
$\omega _Z$
) fields of cruising wakes for a total of 16 cases with different submergence depths
$H/L$
and dimensionless wavelengths
$\lambda /L$
. Specifically,
$\lambda /L$
takes values of 0.5, 1, 2 and
$\infty$
, whereas
$H/L$
takes values of 0.4, 0.6, 0.8 and 2.5, with all snapshots taken at the same phase instant
$t/T = 0.75$
. For the instantaneous flow field results,
$t/T=0$
is defined as the beginning of the selected cycle during statistically steady cruising. Figure 15(a–p) reveals a phase difference in the trailing-edge undulation of the hydrofoil between different wavelength cases. Moreover, as shown in figure 15(a–c), at finite body-wave wavelengths, the free-surface deformation closely follows the phase of the hydrofoil undulation, such that the free-surface profile above the hydrofoil broadly conforms to its instantaneous shape. By contrast, this correspondence is no longer apparent in figure 15(d), where the pure-pitching motion at
$\lambda /L=\infty$
intensifies the hydrofoil–fluid interaction and induces pronounced wave overturning and breaking, thereby obscuring the geometric similarity between the free-surface profile and the hydrofoil shape.
From figures 15(a,e,i,m), 15(b, f, j,n) and 15(c,g,k,o), it can be observed that for
$\lambda /L = 0.5$
, 1 and 2, decreasing the submergence depth
$H/L$
causes the hydrofoil wake to transition from a relatively symmetric ‘2S’-type reverse Kármán vortex street to an asymmetric ‘P+S’-type vortex street, consistent with previous tethered-model simulations (Zheng et al. Reference Zheng, He, Zhao, Shen and Zhu2024; Gao et al. Reference Gao, Sun, Zhang and Liu2025). In a ‘2S’-type reverse Kármán vortex street, anticlockwise positive vortices form above the wake centreline and clockwise negative vortices below it, inducing a backward jet that provides thrust for propulsion. In contrast, as illustrated in figure 16, with the formation of a ‘P+S’-type vortex street, the positive vortices in the original ‘2S’ pattern undergo splitting and form a row of weaker positive vortices on the lower side of the wake. These smaller positive vortices interact with nearby negative vortices, inducing a forward jet (blue) that weakens thrust generation and hinders high-speed propulsion. From figure 15(d,h,l,p), it can be observed that for
$\lambda /L = \infty$
, as
$H/L$
decreases from 2.5 to 0.8, the wake transitions from a ‘2S’ to a ‘P+S’-type vortex street. As shown in figure 15(d,h), with further reductions in
$H/L$
, positive vortices undergo more pronounced splitting, generating a larger number of smaller and stronger vortices. These vortices interact with negative vortices and further weaken thrust production. A theoretical analysis of the thrust-reducing mechanism associated with the ‘P+S’-type vortex street is provided in our previous work (Gao et al. Reference Gao, Sun, Zhang and Liu2025). Overall, as the undulating hydrofoil approaches the free surface from deeper submergence, the evolution can be divided into two stages. In the first stage, the hydrofoil remains sufficiently far from the free surface, resulting in only weak surface disturbances. In the second stage, pronounced free-surface deformation and even wave breaking emerge, accompanied by intensified wave activity.
Vorticity field snapshots corresponding to different submergence depths
$H/L$
and wavelengths
$\lambda /L$
: (a–d)
$H/L = 0.4$
, (e–h)
$H/L = 0.6$
, (i–l)
$H/L = 0.8$
and (m–p)
$H/L = 2.5$
; (a,e,i,m)
$\lambda /L = 0.5$
, (b, f,j,n)
$\lambda /L = 1$
, (c,g,k,o)
$\lambda /L = 2$
and (d,h,l,p)
$\lambda /L = \infty$
. All snapshots are taken at the same phase,
$t/T=0.75$
, during statistically steady cruising.

Figure 15. Long description
Panel A: A heat map showing vorticity fields for a submergence depth of 0.4 and wavelength to length ratio of 0.5. The color scale ranges from -8 to 8, with blue indicating negative vorticity and red indicating positive vorticity. Panel B: A heat map showing vorticity fields for a submergence depth of 0.4 and wavelength to length ratio of 1. Panel C: A heat map showing vorticity fields for a submergence depth of 0.4 and wavelength to length ratio of 2. Panel D: A heat map showing vorticity fields for a submergence depth of 0.4 and wavelength to length ratio of infinity. Panel E: A heat map showing vorticity fields for a submergence depth of 0.6 and wavelength to length ratio of 0.5. Panel F: A heat map showing vorticity fields for a submergence depth of 0.6 and wavelength to length ratio of 1. Panel G: A heat map showing vorticity fields for a submergence depth of 0.6 and wavelength to length ratio of 2. Panel H: A heat map showing vorticity fields for a submergence depth of 0.6 and wavelength to length ratio of infinity. Panel I: A heat map showing vorticity fields for a submergence depth of 0.8 and wavelength to length ratio of 0.5. Panel J: A heat map showing vorticity fields for a submergence depth of 0.8 and wavelength to length ratio of 1. Panel K: A heat map showing vorticity fields for a submergence depth of 0.8 and wavelength to length ratio of 2. Panel L: A heat map showing vorticity fields for a submergence depth of 0.8 and wavelength to length ratio of infinity. Panel M: A heat map showing vorticity fields for a submergence depth of 2.5 and wavelength to length ratio of 0.5. Panel N: A heat map showing vorticity fields for a submergence depth of 2.5 and wavelength to length ratio of 1. Panel O: A heat map showing vorticity fields for a submergence depth of 2.5 and wavelength to length ratio of 2. Panel P: A heat map showing vorticity fields for a submergence depth of 2.5 and wavelength to length ratio of infinity.
As shown in figure 15(a–p), with
$\lambda /L$
held fixed, the amplitude of free-surface wave generation increases as the submergence depth
$H/L$
decreases. As observed in figure 15(a,e,i), for
$\lambda /L = 0.5$
, no vorticity is generated near the free surface throughout the simulations. This indicates that the free surface undergoes only mild oscillations without overturning or breaking. As shown in figure 15(b), for
$\lambda /L = 1$
, free-surface breaking occurs at
$H/L = 0.4$
, accompanied by the generation of positive vorticity (shown in red) near the free surface. As shown in figure 15(g,h), when
$\lambda /L = 2$
and
$\lambda /L = \infty$
, wave breaking initiates at
$H/L = 0.6$
and becomes particularly intense; high-vorticity regions and vortex pairs form near the free surface and are subsequently convected into the wake. As shown in figure 8(a), where the cruising speed
$\overline {U_c}$
decreases monotonically with decreasing submergence depth, the combined effects of wake asymmetry and intensified free-surface activity are associated with reduced near-surface cruising speed. In particular, for
$\lambda /L = \infty$
, both wake asymmetry and free-surface breaking are significantly intensified as the hydrofoil approaches the free surface. Consequently, as observed in figure 8(a), the reduction in
$\overline {U_c}$
with decreasing
$H/L$
is markedly more rapid over the range
$0.4 \lt H/L \lt 1$
for
$\lambda /L = \infty$
than for the other wavelength cases.
With the submergence depth
$H/L$
fixed, the vortex strength in the hydrofoil wake increases markedly as
$\lambda /L$
increases, indicating a stronger interaction between the hydrofoil and the surrounding fluid. In general, the thrust generated by the hydrofoil is positively correlated with the wake vortex strength; a detailed theoretical derivation is provided in our previous work (Yu & Huang Reference Yu and Huang2021). This relationship explains why, over most of the parameter range shown in figure 8(b), the cruising speed
$\overline {U_c}$
increases as
$\lambda /L$
increases. In unbounded flow conditions, a larger
$\lambda /L$
generally leads to stronger foil–fluid interactions and, consequently, a higher cruising speed
$\overline {U_c}$
. However, in near-free-surface environments, excessively strong hydrofoil–fluid interactions induce large-amplitude free-surface waves, which exacerbate flow field boundary asymmetry and generate stronger free-surface responses. Both effects are detrimental to achieving high-speed and high-efficiency propulsion. For a fixed
$H/L$
, free-surface oscillations intensify with increasing
$\lambda /L$
, eventually leading to wave overturning and breaking. Consistent with figure 8(b), when the submergence depth is small (i.e.
$H/L = 0.4$
, 0.6 and 0.8), increasing
$\lambda /L$
beyond a certain threshold leads to a reduction rather than an increase in
$\overline {U_c}$
. One contributing factor is that pronounced free-surface motions indicate enhanced energy transfer from the hydrofoil to surface waves, which may reduce the fraction of input energy available for effective propulsion. In addition, increasing
$\lambda /L$
enhances flow field boundary asymmetry, leading to a significantly stronger attractive force acting on the hydrofoil towards the free surface, as shown in figure 12(b).
Furthermore, figure 15 shows that no wave breaking occurs at
$H/L = 0.8$
for any considered
$\lambda /L$
; at
$H/L = 0.6$
, free-surface wave breaking emerges when
$\lambda /L = 2$
; and at
$H/L = 0.4$
, high-vorticity regions are generated near the free surface when
$\lambda /L = 1$
. These observations indicate that decreasing the submergence depth
$H/L$
increases the sensitivity of the free surface to variations in the wavelength
$\lambda /L$
.
Schematic of a forward jet (blue) induced by a ‘P+S’-type vortex street.

Figure 17 presents snapshots of the dimensionless streamwise velocity field,
$u/U_{ref}$
, in the hydrofoil wake for 16 combinations of submergence depth
$H/L$
and dimensionless wavelength
$\lambda /L$
. With
$\lambda /L$
fixed, a pronounced high-speed region emerges above the undulating hydrofoil as the submergence depth
$H/L$
decreases, confirming that the presence of the free surface induces flow asymmetry. The formation of this high-speed region is attributed to the so-called channelling effect: as the hydrofoil upper surface approaches the free surface, the flow passage between them becomes progressively narrower, resulting in local flow acceleration. Similar channelling-induced acceleration has been widely reported in previous studies of hydrofoil propulsion near solid boundaries (Deng et al. Reference Deng, Wang, Kandel and Teng2022; Liu et al. Reference Liu, Zhang and Wang2025). In contrast, the velocity field beneath the hydrofoil remains largely unchanged across different submergence depths. With
$H/L$
fixed, increasing
$\lambda /L$
leads to a larger effective contact area and stronger interactions between the hydrofoil surface and the surrounding fluid. Meanwhile, the free surface exhibits stronger oscillations and improved phase-following behaviour relative to the hydrofoil upper surface, resulting in a narrower flow channel. Consequently, the intensity of the high-speed region above the hydrofoil increases markedly as
$\lambda /L$
increases. For cases with small
$H/L$
and large
$\lambda /L$
, free-surface wave overturning and breaking occur above the rear portion of the hydrofoil, generating a low-speed region, as indicated by the black dashed boxes in figures 17(b–d) and 17(g–h). In addition, the velocity circulation associated with the trailing vortices increases significantly with increasing
$\lambda /L$
, indicating stronger hydrofoil–fluid interactions.
Snapshots of the dimensionless horizontal (streamwise) velocity field
$u/U_{ref}$
for different submergence depths
$H/L$
and wavelengths
$\lambda /L$
: (a–d)
$H/L=0.4$
, (e–h)
$H/L=0.6$
, (i–l)
$H/L=0.8$
and (m–p)
$H/L=2.5$
; (a,e,i,m)
$\lambda /L=0.5$
, (b, f,j,n)
$\lambda /L=1$
, (c,g,k,o)
$\lambda /L=2$
and (d,h,l,p)
$\lambda /L=\infty$
. All snapshots are taken at the same phase,
$t/T=0.75$
, during statistically steady cruising.

To quantitatively investigate momentum transport in the wake, figure 18 presents the time-averaged streamwise velocity profiles
$\overline {u}/U_{ref}$
at
$X/L = 0.7$
for different submergence depths. In figure 18, the horizontal dashed line denotes the extension of the hydrofoil midline in its initial stationary configuration, while the vertical dashed line represents
$\overline {u}/U_{ref} = 0$
. The quantity
$\overline {u}/U_{ref}$
is directly related to momentum transport in the flow:
$\overline {u}/U_{ref} \lt 0$
indicates a momentum deficit, whereas
$\overline {u}/U_{ref} \gt 0$
corresponds to jet-like behaviour associated with strong momentum transport. According to previous studies, a momentum deficit leads to drag generation, whereas a momentum surplus contributes to thrust production (Jones et al. Reference Jones, Dohring and Platzer1998).
As shown in figure 18, a jet peak is observed near the wake centreline downstream of the hydrofoil for all submergence depths considered. As
$H/L$
decreases, the peak magnitude of the jet gradually diminishes, which is associated with the formation of a ‘P+S’-type vortex street. In addition, a pronounced momentum deficit is observed in the fluid above the hydrofoil for
$H/L = 0.4$
, followed by
$H/L = 0.6$
, while the smallest momentum deficit occurs at
$H/L = 0.8$
. Taken together, these results indicate that proximity to the free surface disrupts wake symmetry and is detrimental to net thrust generation by the hydrofoil.
Time-averaged streamwise velocity profiles
$\overline {u}/U_{ref}$
at
$X/L = 0.7$
for different submergence depths
$H/L$
at
$\lambda /L = 1$
.

4.4. Pressure distributions
Figure 19(a–l) presents snapshots of the pressure field
$C_p$
at different phase instants for three representative cases. The pressure coefficient is defined as
where
$p$
denotes the gauge pressure,
$\rho$
the reference fluid density and
$U_{ref}$
the reference velocity. By comparing figures 19(a,d,g,j) and 19(b,e,h,k) corresponding to different values of
$\lambda /L$
, it is evident that variations in
$\lambda /L$
affect the phase of the hydrofoil trailing-edge motion. By comparing figures 19(a,d,g,j) and 19(b,e,h,k), it can be observed that the pressure contours for the cases
$\lambda /L = 1$
and
$\lambda /L = 2$
exhibit an approximate half-period phase difference. A comparison between the cases
$\lambda /L = 1, H/L = 0.4$
and
$\lambda /L = 2,{} H/L = 0.4$
shows that, at corresponding phase instants, the pressure magnitude in the former case is consistently lower than that in the latter, while the overall evolution of the pressure contours remains qualitatively similar. Comparing the cases
$\lambda /L = 2, H/L = 0.4$
and
$\lambda /L = 2, H/L = 0.6$
(figures 19
b,e,h,k and 19
c, f,i,l), it is evident that the pressure distribution and intensity on the lower surface of the hydrofoil are nearly identical at all phase instants, with the primary differences appearing near the upper surface. From figure 19(b,c,e, f), it can be observed that at
$t/T = 0.25$
and
$t/T = 0.5$
, when the trailing edge approaches the free surface, the pressure on the hydrofoil upper surface for
$H/L = 0.4$
is significantly lower than that for
$H/L = 0.6$
. In contrast, the pressure on the lower surface shows little difference. From figure 19(h,i,k,l), it can be observed that at
$t/T = 0.75$
and
$t/T = 1$
, the pressure distributions on both the upper and lower surfaces of the hydrofoil are nearly identical for the two submergence depths. The only notable difference is that, for
$H/L = 0.4$
, the pressure in the depressed free-surface region highlighted by the red dashed box is slightly lower than that for
$H/L = 0.6$
. These observations indicate that the free-surface-induced attractive force acting towards the free surface is primarily generated during the phase when the hydrofoil trailing edge approaches the free surface.
Pressure field (
$C_p$
) snapshots at different phase instants for three representative cases: (a,d,g,j)
$\lambda /L = 1$
,
$H/L = 0.4$
; (b,e,h,k)
$\lambda /L = 2$
,
$H/L = 0.4$
; (c, f,i,l)
$\lambda /L = 2$
,
$H/L = 0.6$
; (a–c)
$t/T = 0.25$
, (d– f)
$t/T = 0.5$
, (g–i)
$t/T = 0.75$
and ( j–l)
$t/T = 1$
.

Figure 19. Long description
Panel A: A heat map showing pressure field at t/T = 0.25 for λ/L = 1, H/L = 0.4. The color scale ranges from -0.50 to 0.50, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel B: A heat map showing pressure field at t/T = 0.25 for λ/L = 2, H/L = 0.4. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel C: A heat map showing pressure field at t/T = 0.25 for λ/L = 2, H/L = 0.6. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel D: A heat map showing pressure field at t/T = 0.5 for λ/L = 1, H/L = 0.4. The color scale ranges from -0.50 to 0.50, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel E: A heat map showing pressure field at t/T = 0.5 for λ/L = 2, H/L = 0.4. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel F: A heat map showing pressure field at t/T = 0.5 for λ/L = 2, H/L = 0.6. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel G: A heat map showing pressure field at t/T = 0.75 for λ/L = 1, H/L = 0.4. The color scale ranges from -0.50 to 0.50, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel H: A heat map showing pressure field at t/T = 0.75 for λ/L = 2, H/L = 0.4. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse, with red dashed circles indicating regions of interest. Panel I: A heat map showing pressure field at t/T = 0.75 for λ/L = 2, H/L = 0.6. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse, with red dashed circles indicating regions of interest. Panel J: A heat map showing pressure field at t/T = 1 for λ/L = 1, H/L = 0.4. The color scale ranges from -0.50 to 0.50, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse. Panel K: A heat map showing pressure field at t/T = 1 for λ/L = 2, H/L = 0.4. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse, with red dashed circles indicating regions of interest. Panel L: A heat map showing pressure field at t/T = 1 for λ/L = 2, H/L = 0.6. The color scale ranges from -1.0 to 1.0, with blue indicating lower values and red indicating higher values. The pressure field shows a central concentration around the black ellipse, with red dashed circles indicating regions of interest.
Figure 20(a–p) presents the dimensionless pressure fields (
$C_p$
) of the hydrofoil cruising wakes for 16 cases with different submergence depths
$H/L$
and dimensionless wavelengths
$\lambda /L$
. First, the effect of the submergence depth
$H/L$
on the pressure contours is examined while the wavelength
$\lambda /L$
is held fixed. As shown in figures 20(a,e,i,m) and 20(b, f, j,n), the pressure-field variations with submergence depth are concentrated primarily over the upper surface of the hydrofoil and in the region between the hydrofoil and the free surface, consistent with our previous tethered-model results (Gao et al. Reference Gao, Sun, Zhang and Liu2025). For
$\lambda /L=0.5$
and 1, the low-pressure region over the upper surface progressively extends towards the free surface as
$H/L$
decreases, forming a more pronounced low-pressure passage between the two boundaries. Figure 20(c,g,k,o) shows that the instantaneous hydrofoil configuration at
$\lambda /L=2$
differs markedly from those in figures 20(a,e,i,m) and 20(b, f, j,n) because of the wavelength-dependent phase distribution along the hydrofoil. At
$H/L=0.8$
, a weak low-pressure region forms immediately beneath the free surface and above the hydrofoil, as indicated by the dashed ellipse in figure 20(k). The resulting pressure deficit draws the free surface downward, thereby strengthening its phase-following response to the instantaneous hydrofoil deformation. As
$H/L$
is further reduced to 0.6 and 0.4, the hydrofoil–free-surface interaction intensifies markedly, accompanied by expansion of the low-pressure region, stronger free-surface deformation, and wave overturning. The development of this near-surface low-pressure region therefore explains the increasing upward attraction on the hydrofoil as
$H/L$
decreases and reflects the strengthened phase-following response of the free surface. This phase-following response reduces the inertial load associated with accelerating the surrounding fluid, thereby lowering the input power required for cruising. For the pure-pitching case (
$\lambda /L=\infty$
), figure 20(d,h,l,p) show pressure-field characteristics that differ markedly from those observed in the finite-wavelength cases. At
$H/L=0.4$
, the low-pressure region over the hydrofoil and adjacent to the free surface is slightly intensified, whereas the high-pressure region beneath the hydrofoil expands substantially. This behaviour is attributed to the strong unsteadiness induced by large-amplitude free-surface deformation and the associated disruption of the wake topology.
At a fixed
$H/L$
, the pressure fluctuations over the hydrofoil surface intensify and the wake low-pressure region strengthens as
$\lambda /L$
increases. This trend is associated with stronger fluid acceleration, trailing-edge vortex shedding and hydrofoil–free-surface interactions at larger wavelengths, thereby helping to explain the monotonic increase in the cycle-averaged input power
$\overline {C_P}$
with
$\lambda /L$
at a fixed submergence depth.
Snapshots of the pressure field (
$C_p$
) for different submergence depths
$H/L$
and dimensionless wavelengths
$\lambda /L$
: (a–d)
$H/L = 0.4$
, (e–h)
$H/L = 0.6$
, (i–l)
$H/L = 0.8$
and (m–p)
$H/L = 2.5$
; (a,e,i,m)
$\lambda /L = 0.5$
, (b, f,j,n)
$\lambda /L = 1$
, (c,g,k,o)
$\lambda /L = 2$
and (d,h,l,p)
$\lambda /L = \infty$
. All snapshots are taken at the same phase,
$t/T=0.75$
, during statistically steady cruising.

4.5. Free surface effect
Figure 21(a–l) illustrates the evolution of the free surface over one undulation cycle for three different wavelengths
$\lambda /L$
, with the submergence depth fixed at
$H/L = 0.4$
. The horizontal dashed line marks the free-surface level, while the instantaneous hydrofoil profile is superimposed to show its shape and position relative to the free surface. As observed in figure 21(a–l), overall, the free-surface oscillations become increasingly intense with increasing
$\lambda /L$
, which is associated with stronger interactions between the hydrofoil and the free surface at larger wavelengths. A pronounced wave trough forms on the free surface above the hydrofoil; as
$\lambda /L$
increases, the trough deepens and its location shifts slightly downstream. This local depression of the free surface effectively narrows the flow passage, thereby accelerating the fluid in the vicinity of the free surface. In contrast, the wave crest formed downstream of the trough widens the flow passage and suppresses the local flow velocity. Consequently, negative pressure is observed beneath the free-surface troughs, whereas positive pressure appears beneath the crests in figure 20. In addition, for the case
$\lambda /L = 3$
, cavity-like region is observed in the fluid beneath the free surface. When the submergence depth
$H/L$
is small, pronounced wave breaking and associated free-surface disturbances are observed, which coincide with a substantial reduction in the cruising efficiency of the hydrofoil.
Evolution of the free surface over one oscillation cycle for three representative wavelengths
$\lambda /L$
: (a,d,g,j)
$\lambda /L = 1$
, (b,e,h,k)
$\lambda /L = 2$
and (c, f,i,l)
$\lambda /L = 3$
; snapshots are shown at (a–c)
$t/T = 0$
, (d–f)
$t/T = 0.25$
, (g–i)
$t/T = 0.5$
and ( j–l)
$t/T = 0.75$
.

To assess whether free-surface wave breaking necessarily leads to a lower cruising efficiency for a near-free-surface hydrofoil compared with that at a larger submergence depth (
$H/L = 2.5$
), a normalised efficiency metric
$\eta /\eta _0$
is introduced, defined as
$\eta /\eta _0 = \eta (\lambda , H)/\eta (\lambda , 2.5)$
. Here,
$\eta (\lambda , H)$
denotes the cruising efficiency at a given submergence depth
$H/L$
and wavelength
$\lambda /L$
, while
$\eta _0 = \eta (\lambda , 2.5)$
represents the corresponding reference efficiency in deep water. When
$\eta /\eta _0 \gt 1$
, cruising near the free surface yields a higher efficiency than cruising at
$H/L = 2.5$
, whereas
$\eta /\eta _0 \lt 1$
indicates a lower efficiency relative to the deep-water case. Figure 22 illustrates the variation of
$\eta /\eta _0$
in the
$\lambda /L$
–
$H/L$
parameter space. Green circles indicate cases without free-surface wave breaking, whereas red crosses denote cases with wave overturning and breaking. For
$\lambda /L = 0.5$
, no free-surface wave breaking occurs over the entire range considered, and the cruising efficiency remains higher than that in deep water even when
$H/L$
decreases to 0.4. In contrast, for
$\lambda /L \gt 1$
, the cruising efficiency at
$H/L = 0.4$
is consistently lower than the corresponding deep-water value. Overall, for most non-breaking cases, the cruising efficiency exceeds the deep-water reference efficiency
$\eta _0$
. Notably, the boundary between wave-breaking and non-breaking regimes does not coincide with the isocontours of
$\eta /\eta _0$
. For example, in the cases
$\lambda /L = 2, H/L = 0.6$
and
$\lambda /L = 3, H/L = 0.6$
, free-surface wave breaking occurs, yet
$\eta /\eta _0$
remains greater than unity. It is also important to note that the absence of wave breaking does not necessarily lead to improved propulsion efficiency. For example, the case of
$\lambda /L=8$
and
$H/L=0.8$
remains within the non-breaking regime, yet exhibits lower efficiency than the corresponding deep-water case due to enhanced wave radiation and stronger hydrofoil–free-surface interactions. These observations indicate that wave breaking alone is insufficient to explain efficiency variations near the free surface. Instead, the efficiency change is governed by the combined effects of free-surface wave radiation and nonlinear wave deformation.
Evolution of the normalised efficiency
$\eta /\eta _0$
in the
$\lambda /L$
–
$H/L$
parameter space, where green circles indicate non-breaking wave conditions and red crosses denote cases with wave overturning and breaking.

In near-free-surface cruising of a hydrofoil, a clear competitive mechanism is present. As the hydrofoil approaches the free surface, the reduction in the cycle-averaged input power
$\overline {C_P}$
creates the potential for improved propulsion efficiency. However, when the hydrofoil operates extremely close to the free surface, two adverse effects emerge. On the one hand, the thrust generated by the hydrofoil decreases, which is qualitatively consistent with the reduced added-mass effect; on the other hand, intensified free-surface wave activity, including wave overturning and breaking, is associated with stronger free-surface responses and reduced propulsion efficiency. From a conceptual standpoint, an optimal submergence depth
$H^*/L$
must therefore exist for each wavelength
$\lambda /L$
to maximise cruising efficiency. This relationship has been obtained through empirical fitting, as shown in figure 11. For
$\lambda /L = 0.5$
, 1, 2 and
$\infty$
, the corresponding optimal submergence depths
$H^*/L$
are 0.6, 0.8, 1.0 and 1.0, respectively. To characterise the free-surface features associated with maximum cruising efficiency, free-surface profiles at
$H^*/L$
and at two neighbouring submergence depths are extracted and compared for these four cases. The corresponding results are presented in figure 23. It is observed that the optimal submergence depth
$H^*/L$
consistently corresponds to conditions in which free-surface wave activity converges as
$H/L$
increases. Further reductions in submergence depth beyond this point result in a pronounced increase in free-surface wave generation, and the free surface exhibits stronger phase-following behaviour relative to the undulating hydrofoil, consistent with previous findings (Zheng et al. Reference Zheng, He, Zhao, Shen and Zhu2024). For near-free-surface hydrofoil cruising, the convergence of free-surface wave activity with increasing submergence depth represents a balance point of this competitive mechanism, at which power savings due to the enhanced phase-following response of the free surface can be achieved without incurring excessive energy losses from free-surface wave generation. Therefore, from an engineering perspective, suppressing free-surface wave generation is essential for achieving and maintaining efficient hydrofoil cruising.
Free-surface profiles corresponding to different submergence depths
$H/L$
near the optimal submergence depth
$H^*/L$
for various wavelengths
$\lambda /L$
.

To further quantify the strength of the free-surface response, the excess potential energy associated with free-surface elevation is evaluated. In water-wave theory, the gravitational potential energy induced by free-surface disturbances represents the energy stored in surface deformation and provides a quantitative measure of wave response and free-surface evolution (Stoker Reference Stoker1957; Henry Reference Henry2021). Therefore, the excess potential energy is used here as an indicator of free-surface deformation intensity.
The instantaneous excess potential energy of the free surface is defined as follows:
where
$\zeta$
denotes the instantaneous free-surface elevation relative to the still-water level, and
$\varOmega _s$
represents the selected free-surface region. To eliminate the phase-dependent fluctuations induced by the periodic hydrofoil motion, the cycle-averaged excess potential energy during the statistically steady stage is calculated as follows:
The corresponding dimensionless form is defined as follows:
Figure 24 shows the variation of
$\widetilde {E}_s$
with submergence depth
$H/L$
for two representative wavelengths,
$\lambda /L=1$
and
$2$
. For both wavelengths,
$\widetilde {E}_s$
decreases monotonically with increasing
$H/L$
, indicating that the hydrofoil–free-surface interaction weakens as the hydrofoil moves farther away from the free surface. The rapid increase of
$\widetilde {E}_s$
at shallow submergence depths indicates that stronger free-surface deformation and wave responses are generated when the hydrofoil operates closer to the interface. Moreover, the larger values of
$\widetilde {E}_s$
observed for
$\lambda /L=2$
indicate that longer body-wave wavelengths induce stronger free-surface responses, consistent with the enhanced wave activity observed in the instantaneous flow fields.
Variation of the cycle-averaged dimensionless excess potential energy
$\widetilde {E}_s$
, which characterises the free-surface response, with submergence depth
$H/L$
for
$\lambda /L=1$
and
$2$
.

To further examine the dependence of the free-surface response on the hydrofoil–free-surface interaction strength, figure 25 shows the relationship between
$\widetilde {E}_s$
and
$\exp (-H/\lambda )$
. The exponential form is motivated by the attenuation of disturbances generated by submerged oscillating bodies, where the disturbance amplitude decreases exponentially with increasing distance from the free surface in the weakly nonlinear regime. The physical basis of this attenuation parameter and its incorporation into the reduced-order scaling relation are discussed further in § 4.6. For cases without wave breaking, the data exhibit an approximately collapsed trend, indicating that the free-surface response is primarily governed by the attenuation of hydrofoil-induced disturbances with increasing submergence depth. In contrast, cases involving wave breaking deviate from this trend and exhibit larger values of
$\widetilde {E}_s$
, suggesting that additional nonlinear free-surface effects become significant beyond the weakly nonlinear attenuation mechanism.
Relationship between the cycle-averaged dimensionless excess potential energy
$\widetilde {E}_s$
and the exponential attenuation parameter
$\exp (-H/\lambda )$
. Cases without and with wave breaking are distinguished to illustrate deviations induced by nonlinear free-surface effects.

These results provide quantitative evidence that the free-surface response intensifies progressively as the hydrofoil approaches the interface. For non-breaking cases, the free-surface response follows an exponential attenuation with increasing distance from the free surface, consistent with the characteristic depth dependence introduced later in the reduced-order scaling relation. However, when wave breaking occurs, additional nonlinear effects cause deviations from this simplified attenuation behaviour.
4.6. Reduced-order scaling relation for cruising speed
Building on the cruising-speed trends presented in § 4.1 and the hydrodynamic mechanisms identified above, a physics-informed reduced-order relation is developed to describe the coupled dependence of
$U_c$
on the wavelength
$\lambda$
and submergence depth
$H$
. First, the prescribed body wave generates an intrinsic wavelength-dependent propulsive response that increases as the streamwise phase variation decreases and asymptotically approaches a finite limit at long wavelengths. Second, the free-surface pressure condition modifies this intrinsic response, whereas the hydrodynamic coupling between the hydrofoil and the free surface weakens with increasing relative submergence
$H/\lambda$
. Third, at shallow submergence, enhanced wave generation, large-amplitude free-surface deformation and wake reorganisation result in additional losses of useful streamwise momentum. Together, these mechanisms motivate the development of the reduced-order scaling relation presented below.
The wavelength dependence of the propulsive response can be interpreted in terms of the reactive-force mechanism described by Lighthill’s elongated-body theory (Lighthill Reference Lighthill1971). To leading order, the cycle-averaged reactive thrust generated by an undulating body can be expressed schematically as follows:
where
$m_a(L)$
denotes the added mass per unit length at the trailing edge, and
$h(x,t)$
represents the prescribed lateral displacement. For the travelling-wave kinematics,
$h(x,t)=A(x)\cos (kx-\omega t)$
with
$k=2\pi /\lambda$
, the cycle-averaged temporal and spatial derivatives evaluated at the trailing edge are
$\overline {h_t^2}=\omega ^2A_T^2/2$
and
$\overline {h_x^2}=[(A'_T)^2+k^2A_T^2]/2$
, respectively, where
$A_T=A(L)$
and
$A'_T=A'(L)$
. The body-wave wavelength therefore enters the reactive-force estimate through the streamwise phase-gradient term
$k^2A_T^2$
. As
$\lambda$
increases, this phase-gradient term decreases, and the prescribed deformation approaches the phase-aligned pitching-like limit. Consequently, the wavelength-dependent propulsive response increases with
$\lambda$
but remains finite in the long-wavelength limit as
$k\rightarrow 0$
. Lighthill’s relation is invoked here to establish the expected monotonic increase and asymptotic saturation of the wavelength-dependent response, rather than to quantitatively predict the thrust generated by the present two-dimensional hydrofoil. Based on these limiting behaviours, the intrinsic wavelength-dependent response is represented by the bounded saturation function
$1-\exp (-\lambda /\lambda _0)$
, where
$\lambda _0$
denotes the characteristic wavelength controlling the approach to the long-wavelength limit. Nonlinear least-squares fitting of the data at
$H/L=2.5$
yields
$\lambda _0/L=2.0$
. The data at
$H/L=2.5$
are taken to represent the weak free-surface-interaction limit within the parameter range considered, because free-surface effects are relatively small at this submergence depth. The resulting value of
$\lambda _0/L$
is then held fixed in the global regression.
The intrinsic wavelength-dependent response is further modified by free-surface effects. According to linear potential-flow theory, the velocity-potential and pressure amplitudes induced by a harmonic subsurface disturbance with horizontal wavenumber
$k_s$
decay exponentially with submergence as
$\exp (-k_sH)$
(Wehausen & Laitone Reference Wehausen, Laitone and Flügge1960). The wavenumber of the radiated free-surface waves is determined by the actuation frequency, cruising speed and the gravity-wave dispersion relation. In the present reduced-order model, the imposed body-wave wavelength is adopted as the characteristic streamwise length scale, yielding
$k_s=O(1/\lambda )$
. The hydrofoil–free-surface coupling is therefore represented by
$\exp (-bH/\lambda )$
, where the dimensionless coefficient
$b$
accounts for differences between the imposed body-wave and radiated-wave scales, as well as finite-geometry and dispersion effects. Accordingly, the fraction of the intrinsic wavelength-dependent response retained as the free-surface influence diminishes is represented by the complementary factor
$1-\exp (-bH/\lambda )$
, which approaches unity with increasing
$H/\lambda$
.
The exponential factor captures the depth dependence of the pressure coupling between the hydrofoil and the free surface but does not account for nonlinear effects arising at shallow submergence. As
$H/L$
decreases and
$\lambda /L$
increases, wave radiation and free-surface deformation become increasingly pronounced. Meanwhile, wave overturning, incipient breaking, vortex splitting and wake asymmetry increasingly redistribute streamwise momentum. In particular, the emergence of an asymmetric ‘P+S’ wake and a forward-directed jet indicates that an increasing fraction of the generated momentum is diverted away from useful propulsion. The relative contribution of these additional wave- and wake-related losses diminishes in the weak-interaction limit,
$\lambda /H\rightarrow 0$
. Their leading-order contribution is therefore assumed to scale with
$c\lambda /H$
, where
$c$
is a dimensionless loss coefficient. By interpreting
$c\lambda /H$
as the ratio of the additional loss to the useful cruising-speed response, the retained fraction is obtained as
$1/(1+c\lambda /H)$
. This rational form remains positive and bounded over the parameter range considered and admits the asymptotic expansion
$1-c\lambda /H+O[(\lambda /H)^2]$
as
$\lambda /H\rightarrow 0$
.
The exponential and rational factors capture distinct aspects of the free-surface influence. The exponential factor describes the recovery of the intrinsic response as the hydrofoil–free-surface coupling weakens with increasing submergence. The rational factor accounts for additional losses of useful streamwise momentum associated with wave generation, large-amplitude free-surface deformation, and asymmetric wake dynamics. Combining these free-surface mechanisms with the intrinsic wavelength-dependent response gives
The multiplicative structure reflects the sequential effects of the mechanisms incorporated into the reduced-order model. The prescribed body wave first generates an intrinsic wavelength-dependent response in cruising speed. This response is subsequently modified by the depth-dependent hydrofoil–free-surface coupling, after which wave- and wake-related losses reduce the fraction available for effective forward propulsion. The coefficient
$a$
determines the overall magnitude of the wavelength-dependent response, whereas the constant
$d$
accounts for the component of cruising speed not captured by the leading-order wavelength–depth dependence. This offset is specific to the fixed Reynolds number and prescribed kinematics considered here and is therefore not given an independent asymptotic interpretation.
Figure 26 illustrates the scaling relationship for the cruising speed
$\overline {U}_c$
as a function of the submergence depth
$H$
and wavelength
$\lambda$
over the ranges
$0.5\leq \lambda /L\leq 8$
and
$0.4\leq H/L\leq 2.5$
. With
$\lambda _0/L$
fixed at
$2.0$
, a global nonlinear least-squares optimisation over all finite-wavelength cases yields
$a=1.50$
,
$b=1.5$
,
$c=0.28$
and
$d=0.35$
. Here
Overall scaling collapse of the cruising-speed data based on the physics-informed reduced-order relation. The symbols denote numerical results for different wavelengths, while the dashed line represents the linear relationship predicted by the reduced-order scaling relation.

Although the reduced-order relation captures the overall scaling behaviour of the cruising speed, the deviations between the predictions and numerical results are not uniformly distributed across the parameter space. To identify the physical origins of these deviations, the reduced-order relation is reconstructed in the original parameter space of wavelength and submergence depth, as shown in figure 27.
Comparison between numerical results (symbols) and reduced-order predictions (lines) of cruising speed as functions of wavelength and submergence depth. (a) Variation of
$\overline {U}_c/U_{ref}$
with submergence depth
$H/L$
for different body-wave wavelengths
$\lambda /L$
; (b) variation of
$\overline {U}_c/U_{ref}$
with body-wave wavelength
$\lambda /L$
for different submergence depths
$H/L$
.

Figure 27. Long description
Panel A: A line graph shows the variation of time-averaged streamwise velocity profiles with submergence depth for different body-wave wavelengths. The x-axis represents the submergence depth (H/L) and the y-axis represents the normalized streamwise velocity (Uc/Uref). Different symbols and lines represent various body-wave wavelengths (λ/L = 0.5, 0.75, 1, 1.5, 2). The graph includes a horizontal dashed line denoting the extension of the hydrofoil midline and a vertical dashed line representing a specific value. The R-squared values for the fits are also shown. Panel B: Another line graph shows the variation of time-averaged streamwise velocity profiles with body-wave wavelength for different submergence depths. The x-axis represents the body-wave wavelength (λ/L) and the y-axis represents the normalized streamwise velocity (Uc/Uref). Different symbols and lines represent various submergence depths (H/L = 0.6, 0.8, 1.5, 2.5). The R-squared values for the fits are also shown.
As shown in figure 27, the deviations are mainly concentrated in two regimes. The first occurs at the shortest wavelengths (
$\lambda /L=0.5$
and
$0.75$
), where the prescribed deformation introduces stronger geometric nonlinearities. As the wavelength decreases, the streamwise curvature increases and the variation in the actual hydrofoil centreline arclength becomes more significant. Since the wavelength-dependent response in the present scaling relation is derived from Lighthill’s elongated-body framework using the undeformed streamwise coordinate as the characteristic length scale, the reduced-order description becomes progressively less accurate as geometric deformation increases. The second regime corresponds to shallow submergence depths (
$H/L=0.4$
), where pronounced free-surface deformation and nonlinear wave dynamics become significant. The depth-dependent correction terms in the proposed scaling relation are motivated by the attenuation and loss mechanisms associated with hydrofoil–free-surface interactions. Specifically, the factor
$1-\exp (-bH/\lambda )$
is motivated by the exponential attenuation of subsurface disturbances in linear free-surface theory and describes the variation of hydrofoil–free-surface coupling strength with submergence depth. Meanwhile, the rational correction factor
$1/(1+c\lambda /H)$
is introduced as a low-order representation of additional wave-radiation and wave-breaking-related losses. However, when the hydrofoil operates close to the free surface, both approximations become less accurate because large-amplitude free-surface deformation, wave overturning and nonlinear wave–wake interactions introduce complex mechanisms that cannot be fully captured by the present reduced-order formulation.
To further examine the validity range of the reduced-order relation, the shallowest submergence cases (
$H/L=0.4$
) are excluded from the regression, resulting in a more appropriate validity range and an improved
$R^2$
value. Within the regime of
$0.5\leq \lambda /L\leq 8$
and
$0.6\leq H/L\leq 2.5$
, the free-surface response remains primarily governed by the mechanisms incorporated into the present model, including the depth-dependent attenuation of hydrofoil–free-surface coupling and the associated modification of wake dynamics. Therefore, this range is identified as the applicable regime for the proposed scaling relation. The corresponding scaling collapse shown in figure 28 is further improved within this regime, with the coefficient of determination increasing from
$R^2=0.86$
to
$R^2=0.93$
.
Scaling collapse of the cruising-speed data based on the physics-informed reduced-order relation for
$0.6\leq H/L\leq 2.5$
. Symbols denote numerical results for different wavelengths, whereas the dashed line represents the corresponding linear relationship predicted by the reduced-order scaling relation.

5. Conclusions
In this study, the
$\delta ^{+}$
-SPH method is employed to perform a systematic numerical investigation of the self-propelled performance of undulating hydrofoils with different body-wave wavelengths under near-free-surface conditions. By allowing the undulating hydrofoil to freely adjust its cruising speed at a fixed submergence depth, the coupled interactions among propulsion dynamics, free-surface deformation and wake evolution are fully resolved. The main conclusions drawn from this study are summarised as follows.
First, for all considered wavelengths
$\lambda /L$
, the cruising speed
$\overline {U_c}$
of the undulating hydrofoil decreases monotonically as the submergence depth
$H/L$
decreases. However, as the hydrofoil approaches the free surface, the cycle-averaged input power coefficient
$\overline {C_P}$
decreases monotonically, while the propulsion efficiency
$\tilde {\eta }$
exhibits a non-monotonic trend, first increasing and then decreasing. This indicates that cruising at a moderate distance below the free surface can enhance propulsion efficiency, and that an optimal submergence depth
$H^*/L$
exists for maximising efficiency, typically located within approximately one chord length beneath the free surface.
Second, for all considered submergence depths
$H/L$
, the propulsion efficiency
$\eta$
of the hydrofoil decreases monotonically as the wavelength
$\lambda /L$
increases. At relatively shallow submergence depths (
$H/L \leq 0.8$
), increasing the wavelength
$\lambda /L$
markedly intensifies free-surface disturbances and wave activity, which may increase energy expenditure associated with free-surface motions; as a result, the cruising speed
$\overline {U_c}$
exhibits a non-monotonic dependence on
$\lambda /L$
, first increasing and then decreasing. Consequently, at shallow submergence depths, an optimal undulation wavelength
$\lambda ^*/L$
exists that maximises the cruising speed. Further increasing the wavelength beyond
$\lambda ^*/L$
not only fails to enhance the cruising speed but also reduces the propulsion efficiency.
Third, when the hydrofoil operates near the free surface, it experiences an attractive force directed towards the free surface. This force increases monotonically with increasing wavelength
$\lambda /L$
and decreasing submergence depth
$H/L$
. Therefore, to maintain depth-locked cruising, the hydrofoil must adopt a negative angle of attack, with its magnitude increasing monotonically as
$\lambda /L$
increases and
$H/L$
decreases.
Fourth, as the submergence depth
$H/L$
decreases and the wavelength
$\lambda /L$
increases, free-surface wave activity intensifies progressively, ultimately resulting in wave overturning and breaking accompanied by the formation of vortex pairs. For different wavelengths
$\lambda /L$
, the optimal submergence depth
$H^*/L$
that maximises cruising efficiency generally corresponds to conditions under which free-surface wave activity converges as
$H/L$
increases. Moreover, even in the presence of mild free-surface wave breaking, the cruising efficiency of a near-free-surface hydrofoil may still exceed that achieved at larger submergence depths. Conversely, even in the absence of wave breaking, substantial wave radiation and strong hydrofoil–free-surface interactions may reduce the cruising efficiency below its corresponding deep-water value.
Finally, under near-free-surface conditions, the cruising speed
$\overline {U_c}$
of the hydrofoil follows a clear scaling relationship with the submergence depth
$H/L$
and the wavelength
$\lambda /L$
. Based on empirical fitting, the following scaling law is obtained:
$\overline {U_c}/U_{{ref}} = 1.50 ( 1 - \textrm{e}^{-\lambda / 2L} ) ( 1 - \textrm{e}^{-1.5H / \lambda } ) / ( 1 + 0.28 \lambda / H ) + 0.35$
. The relation provides quantitative predictions for the finite-wavelength cases over
$0.5\leq \lambda /L\leq 8$
and is most reliable over
$0.6\leq H/L\leq 2.5$
.
Nevertheless, several limitations of the present study warrant consideration. First, the two-dimensional model cannot resolve spanwise flow, tip vortices, finite-aspect-ratio effects or three-dimensional vortex evolution. Second, the undulation amplitude and frequency are fixed, preventing a systematic assessment of their effects on near-free-surface propulsion. Third, the prescribed deformation results in a wavelength-dependent variation in the hydrofoil centreline arclength, potentially introducing additional geometric effects at short wavelengths. The deformation-induced arclength variation is quantified in Appendix A and remains below
$3\,\,\%$
for
$\lambda /L\geq 1$
.
Future work should extend the present framework to finite-span, three-dimensional hydrofoils and systematically investigate the effects of Reynolds number, Froude number and deformation-induced arclength variation. These factors may alter free-surface deformation, wave radiation, wake dynamics and wave-breaking losses, thereby shifting the optimal submergence depth and body-wave wavelength. Moreover, different combinations of undulation amplitude and frequency at a fixed
$St$
may produce distinct wake dynamics and propulsive responses. Identifying the optimal kinematic parameters for maximising cruising speed and propulsive efficiency therefore remains an important objective for future research.
Funding
This work is funded by the Guangdong Basic and Applied Basic Research Foundation (grant no. 2024B1515020107), the Characteristic Innovation Project of Universities in Guangdong Province (grant no. 2023KTSCX005), the Young Elite Scientist Sponsorship Program by CAST (grant no. 2022QNRC001) and the Open Funding of National Laboratory of Hydrodynamics (no. JCKY2023201CA0).
Declaration of interests
No potential conflict of interest was reported by the author(s).
Data availability statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Author contributions
T.-Y.G. – conceptualisation (equal); data curation (equal); formal analysis (equal); investigation (equal); methodology (equal); writing the original draft (equal). P.-N.S. – funding acquisition (equal); investigation (equal); supervision (equal). K.-J.H. Huang – investigation (equal); writing the original draft (equal). Y.-S.L. – investigation (equal); writing the original draft (equal).
Appendix A. Evaluation of deformation-induced centreline arclength variation
To quantify the geometric deviation introduced by defining the travelling wave using the undeformed streamwise coordinate, the instantaneous centreline arclength is evaluated as
\begin{align} L_d(t)= \int _0^L \sqrt { 1+ \left ( \frac {\partial y}{\partial x} \right )^2 } \,\text{d}x . \end{align}
The maximum relative arclength variation during one oscillation cycle is defined as
The results for all finite-wavelength cases considered in this study are summarised in table 2. The results show that the deformation-induced centreline arclength variation decreases rapidly with increasing wavelength. Although the shortest wavelength cases (
$\lambda /L=0.5$
and
$0.75$
) exhibit relatively larger variations of approximately
$7.6\,\%$
and
$4.2\,\%$
, respectively, the arclength variation remains below
$3\,\%$
for
$\lambda /L\geq 1$
. These two cases correspond to the most strongly deformed configurations within the investigated parameter space and represent the limiting cases of the prescribed kinematic model. Nevertheless, they do not alter the overall trends associated with the effects of wavelength and submergence depth discussed in the main text.
Maximum deformation-induced centreline arclength variation caused by the prescribed travelling-wave deformation for different body-wave wavelengths.

Table 2. Long description
A table with three columns and eight rows. The columns are labeled lambda over L, max of L d over L, and delta L max over L times 100 percent. The rows present the values for different wavelengths. Row 1: lambda over L, 0.5; max of L d over L, 1.0765; delta L max over L times 100 percent, 7.65. Row 2: lambda over L, 0.75; max of L d over L, 1.0423; delta L max over L times 100 percent, 4.23. Row 3: lambda over L, 1.0; max of L d over L, 1.0277; delta L max over L times 100 percent, 2.77. Row 4: lambda over L, 1.5; max of L d over L, 1.0166; delta L max over L times 100 percent, 1.66. Row 5: lambda over L, 2.0; max of L d over L, 1.0127; delta L max over L times 100 percent, 1.27. Row 6: lambda over L, 3.0; max of L d over L, 1.0100; delta L max over L times 100 percent, 1.00. Row 7: lambda over L, 5.0; max of L d over L, 1.0082; delta L max over L times 100 percent, 0.82. Row 8: lambda over L, 8.0; max of L d over L, 1.0077; delta L max over L times 100 percent, 0.77.


L/Δx=100
L/Δx=200
L/Δx=400
L/Δx=100
L/Δx=200
L/Δx=400
λ/L=5
H/L=0.4
Uc¯
H/L
λ/L
Uc¯
λ/L
H/L
λ=∞
CP¯
H/L
λ/L
CP¯
λ/L
H/L
λ=∞
η~
H/L
λ/L
η~
λ/L
H/L
λ/L=∞
H∗/L
λ/L
CL¯
H/L
λ/L
CL¯
λ/L
H/L
λ=∞
CL
H/L
λ/L=1
CP
H/L
λ/L=1
H/L
λ/L
H/L=0.4
H/L=0.6
H/L=0.8
H/L=2.5
λ/L=0.5
λ/L=1
λ/L=2
λ/L=∞
t/T=0.75
u/Uref
H/L
λ/L
H/L=0.4
H/L=0.6
H/L=0.8
H/L=2.5
λ/L=0.5
λ/L=1
λ/L=2
λ/L=∞
t/T=0.75
u¯/Uref
X/L=0.7
H/L
λ/L=1
Cp
λ/L=1
H/L=0.4
λ/L=2
H/L=0.4
λ/L=2
H/L=0.6
t/T=0.25
t/T=0.5
t/T=0.75
t/T=1
Cp
H/L
λ/L
H/L=0.4
H/L=0.6
H/L=0.8
H/L=2.5
λ/L=0.5
λ/L=1
λ/L=2
λ/L=∞
t/T=0.75
λ/L
λ/L=1
λ/L=2
λ/L=3
t/T=0
t/T=0.25
t/T=0.5
t/T=0.75
η/η0
λ/L
H/L
H/L
H∗/L
λ/L
E~s
H/L
λ/L=1
2
E~s
exp(−H/λ)
U¯c/Uref
H/L
λ/L
U¯c/Uref
λ/L
H/L
0.6≤H/L≤2.5