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Invariant states in inclined layer convection. Part 2. Bifurcations and connections between branches of invariant states

Published online by Cambridge University Press:  09 July 2020

Florian Reetz
Affiliation:
Emergent Complexity in Physical Systems Laboratory (ECPS), Ecole Polytechnique Fédérale de Lausanne, CH-1015, Switzerland
Priya Subramanian
Affiliation:
School of Mathematics, University of Leeds, LeedsLS2 9JT, UKMathematical Institute, University of Oxford, Woodstock Road, OxfordOX2 6GG, UK
Tobias M. Schneider*
Affiliation:
Emergent Complexity in Physical Systems Laboratory (ECPS), Ecole Polytechnique Fédérale de Lausanne, CH-1015, Switzerland
*
†Email address for correspondence: tobias.schneider@epfl.ch

Abstract

Convection in a layer inclined against gravity is a thermally driven non-equilibrium system, in which both buoyancy and shear forces drive spatio-temporally complex flows. As a function of the strength of thermal driving and the angle of inclination, a multitude of convection patterns is observed in experiments and numerical simulations. Several observed patterns have been linked to exact invariant states of the fully nonlinear three-dimensional Oberbeck–Boussinesq equations. These exact equilibria, travelling waves and periodic orbits reside in state space and, depending on their stability properties, are transiently visited by the dynamics or act as attractors. To explain the dependence of observed convection patterns on control parameters, we study the parameter dependence of the state space structure. Specifically, we identify the bifurcations that modify the existence, stability and connectivity of invariant states. We numerically continue exact invariant states underlying spatially periodic convection patterns at $Pr=1.07$ under changing control parameters for a temperature difference between the walls and inclination angle. The resulting state branches cover various inclinations from horizontal layer convection to vertical layer convection and beyond. The collection of all computed branches represents an extensive bifurcation network connecting 16 different invariant states across control parameter values. Individual bifurcation structures are discussed in detail and related to the observed complex dynamics of individual convection patterns. Together, the bifurcations and associated state branches indicate at what control parameter values which invariant states coexist. This provides a nonlinear framework to explain the multitude of complex flow dynamics arising in inclined layer convection.

Information

Type
JFM Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press
Figure 0

Figure 1.Invariant states found as sequentially visited states in temporal transitions at selected control parameter values (RS20). Black arrows indicate the direction of temporal transitions, starting from laminar base flow $B$, via longitudinal and transverse rolls (equilibria $LR$ and $TR$), to four different tertiary invariant states representing the convection patterns of subharmonic standing waves (periodic orbit $SSW$), wavy rolls (equilibrium $WR$), knots (equilibrium $KN$) and transverse oscillations (periodic orbit $TO$). While $B$ is shown as the vector fields of total velocity $\boldsymbol{U}$ at the box sides and three-dimensional contours of total temperature ${\mathcal{T}}$, all other states are shown in terms of velocity and temperature fluctuations, $\boldsymbol{u}$ and $\unicode[STIX]{x1D703}$, around $B$. Iso-contours of temperature are at $1/3[\min (\unicode[STIX]{x1D703}),\max (\unicode[STIX]{x1D703})]$. The states are computed at different inclinations of the domain (green gravity vectors): $B$, $LR$ and $TR$ at $\unicode[STIX]{x1D6FE}_{c2}$, and the four tertiary states at the control parameters marked in figure 2.

Figure 1

Figure 2.The considered parameter space is spanned by inclination angle $\unicode[STIX]{x1D6FE}$ and $\unicode[STIX]{x1D716}=(Ra-Ra_{c})/Ra_{c}$ at $Pr=1.07$. The parameters at which invariant states have been identified in RS20 (figure 1) are marked by circles. The invariant state underlying the skewed varicose pattern (${\mathcal{S}}{\mathcal{V}}$) emerging from the skewed varicose instability ($SV_{i}$) is not described in RS20 but identified in this work. Thick solid lines indicate critical thresholds in control parameters of the five secondary instabilities determined by Subramanian et al. (2016). Bifurcations between invariant states are computed along 15 sections across the parameter space (grey solid lines). The thin grey dotted line marks the inclination angle of the codimension-2 point at $\unicode[STIX]{x1D6FE}_{c2}=77.7567^{\circ }$.

Figure 2

Figure 3.Summary of all bifurcation branches of invariant states continued in $\unicode[STIX]{x1D716}$ at constant $\unicode[STIX]{x1D6FE}\in \{0^{\circ },10^{\circ },20^{\circ },\ldots ,110^{\circ }\}$. Each branch is plotted in terms of $\Vert \unicode[STIX]{x1D703}\Vert _{2}$ (3.1) and is labelled by the name of the invariant state to which the branch belongs. Insets enlarge or isolate features of the bifurcations diagrams. All panels are labelled by the angle of inclination and share the same axes. To avoid clutter $TR$ is left out in panels $\unicode[STIX]{x1D6FE}\in \{0^{\circ },10^{\circ },20^{\circ }\}$. In panel $\unicode[STIX]{x1D6FE}=90^{\circ }$, the grey vertical line crosses the bifurcation branches where invariant states are shown in figure 15 and discussed in appendix B. The $KN$ state at $\unicode[STIX]{x1D6FE}=90^{\circ }$ connects to equilibrium state $SL$ showing a subharmonic lambda pattern (figure 14), discussed in appendix A.

Figure 3

Figure 4.Summary of all bifurcation branches of invariant states continued in $\unicode[STIX]{x1D6FE}$ at constant $\unicode[STIX]{x1D716}\in \{0.1,0.5,1.5\}$. Each branch is plotted in terms of $\Vert \unicode[STIX]{x1D703}\Vert _{2}$ (3.1) and is labelled by the name of the invariant state to which the branch belongs. All panels are labelled by the $\unicode[STIX]{x1D716}$ value and share the same axes. Grey dotted lines mark the inclination angle of the codimension-2 point. Insets enlarge features of the bifurcations diagrams around the inclination angle of the codimension-2 point. In panel $\unicode[STIX]{x1D716}=1.5$, the grey vertical line crosses the bifurcation branches where invariant states are shown in figure 15 and discussed in appendix B. The $TO$ at $\unicode[STIX]{x1D716}=0.1$ (inset) connect to equilibrium state $TSV$ showing a transverse subharmonic varicose pattern (figure 14), discussed in appendix A.

Figure 4

Table 1.Invariant states considered in the bifurcation analysis. The states are of one of three types: steady equilibrium states (EQ), travelling wave states (TW), pre-periodic orbits (PPO). Their spatial periodicity along the $x$ and $y$ dimension is given in units of $\unicode[STIX]{x1D706}_{x}=2.2211$ and $\unicode[STIX]{x1D706}_{y}=2.0162$.

Figure 5

Figure 5.For $\unicode[STIX]{x1D6FE}=0^{\circ }$ (Rayleigh–Bénard), the subcritical bifurcation of the skewed varicose state connects two equilibrium states of straight convection rolls at different wavelength and orientation. Midplane temperature fields of equilibrium states (a–c) are chosen along the $SV$ branch, plotted here in a schematic bifurcation diagram in terms of an approximate dominating pattern wavelength $\unicode[STIX]{x1D706}$ over $\unicode[STIX]{x1D716}$ in (d). A simulated temporal transition from unstable $R_{\unicode[STIX]{x1D706}2}$ to stable $R_{\unicode[STIX]{x1D706}3}$ at supercritical $\unicode[STIX]{x1D716}>\unicode[STIX]{x1D716}_{c}$ (RS20) is indicated by the dashed line. Snapshots from the temporal transition (g,f,e) show matching skewed varicose patterns between the equilibrium state (b) for $\unicode[STIX]{x1D716}<\unicode[STIX]{x1D716}_{c}$ and the transient state (f) at $\unicode[STIX]{x1D716}>\unicode[STIX]{x1D716}_{c}$. The orientation of $R_{\unicode[STIX]{x1D706}3}$ differs between the terminating bifurcation branch at $\unicode[STIX]{x1D716}=0.2$ (a) and the attracted temporal dynamics at $\unicode[STIX]{x1D716}=1.05$ (e).

Figure 6

Figure 6.Symmetry-related pairs of standing wave states $SSW$ (a) and travelling wave states $STW$ (b) bifurcate together in equivariant Hopf-bifurcations from $LR$. The pattern of $SSW$ and $STW$ is visualized by temperature contours in three and two dimensions (midplane). The bifurcation diagram in (c) shows the branches of $SSW$ (black) and $STW$ (grey) at $\unicode[STIX]{x1D716}=1.5$. Other branches shown in figure 4 for $\unicode[STIX]{x1D716}=1.5$ are suppressed for clarity. The inset indicates stable (solid) and unstable (dotted) branches close to the bifurcation at $\unicode[STIX]{x1D6FE}=8.5^{\circ }$ giving rise to the states in (a) and (b) at $\unicode[STIX]{x1D6FE}=15^{\circ }$. Here ‘RS20’ labels the control parameter value where the temporal evolution has been studied in RS20. Panel (d) illustrates how the orbit period $T_{\mathit{SSW}}$ of $SSW$ and the travel time $T_{STW}$ of $STW$ across $L_{x}$ approximately follow the mean advection time $L_{x}/\bar{U}_{0}$ of the laminar base flow $B$ (dashed–dotted line). Note the ‘hydrolic jumps’ where phase and advection velocity match at $\unicode[STIX]{x1D6FE}=65^{\circ }$ and at $\unicode[STIX]{x1D6FE}=110^{\circ }$ of the $STW$ branch.

Figure 7

Figure 7.The pre-periodic orbit $SSW$ approaches a global bifurcation at $\unicode[STIX]{x1D6FE}=10^{\circ }$ and $Ra_{c}=2230.25$ ($\unicode[STIX]{x1D716}_{c}=0.286$), where it collides with a robust heteroclinic cycle between $TR$ and the symmetry related equilibrium $\unicode[STIX]{x1D70E}_{SSW}TR$ with $\unicode[STIX]{x1D70E}_{SSW}=\unicode[STIX]{x03C0}_{y}\unicode[STIX]{x1D70F}(0.25,0.25)$. (a–e) Sequence of midplane temperature contours along the dynamical connection $TR\rightarrow \unicode[STIX]{x1D70E}_{SSW}TR$ at $Ra=2230$. (f) State space projection of the lower (LB) and the upper branch (UB) of $SSW$ (cf. figure 8a). Inset enlarges the orbit trajectories (black dots) near $TR$ and the heteroclinic cycle (grey lines). (g) $L_{2}$-distance of the $SSW_{UB}$ orbit trajectory from $TR$ at $Ra=2230.24$ very close to $Ra_{c}$. The dynamics of $SSW_{UB}$ is exponential for most of the pre-period and governed by two eigenvalues of $TR$. (h) Midplane temperature contours of two unstable and three stable eigenmodes $\boldsymbol{e}_{i}^{u/s}$ of $TR$ associated to the five leading eigenvalues $[\unicode[STIX]{x1D714}_{1},\unicode[STIX]{x1D714}_{2},\unicode[STIX]{x1D714}_{3},\unicode[STIX]{x1D714}_{4},\unicode[STIX]{x1D714}_{5}]=[0.048,0.045,-0.090,-0.120,-0.138]$ of $TR$.

Figure 8

Figure 8.Before $SSW$ disappears in a global heteroclinic bifurcation at $\unicode[STIX]{x1D6FE}=10^{\circ }$ and $Ra_{c}=2230.25$ ($\unicode[STIX]{x1D716}_{c}=0.286$), the branch undergoes a saddle node bifurcation. (a) Enlarged bifurcation diagram showing the branch of $SSW$ indicating the maximum $\Vert \unicode[STIX]{x1D703}\Vert _{2}$ over one cycle (cf. panel $\unicode[STIX]{x1D6FE}=10^{\circ }$ in figure 3). (b) Graphical representation of the linearized Poincaré map (3.7) for $\unicode[STIX]{x1D707}=0.1$ around the heteroclinic cycle between symmetry related instances of $TR$. The fixed point $\bar{\unicode[STIX]{x1D701}}$ is stable as the slope of the map at $\bar{\unicode[STIX]{x1D701}}$ is less than one (dashed line). (c,d) Towards the global bifurcation, the orbit period of $SSW$ approaches an infinite period according to a logarithmic scaling law shown as a function of $Ra$ in (c) and for rescaled $Ra$ in (d). This law follows from the linearized map (3.7), as described in the text. The constant $c_{T}=560$ is determined by fitting the data close to $Ra_{c}$.

Figure 9

Figure 9.Bifurcation sequence from wavy rolls to oblique wavy rolls (a–d). Bifurcation diagram (e) shows how seven equilibrium states are connected over $\unicode[STIX]{x1D716}$ and indicates stable (solid) and unstable (dotted) parts of the branches. Dynamical stability is computed by Arnoldi iteration in a $(2\unicode[STIX]{x1D706}_{x},\unicode[STIX]{x1D706}_{y})$-periodic domain. Panel (g) enlarges the parameter region where $DWR$ connects $WR$ with $OR$. Panel (f) enlarges the parameter region where $OWR_{1}$ with pattern wavenumber $m=1$ connects $OWR$ with pattern wavenumber $m=2$ with $OR$. Here ‘RS20’ labels the control parameter value at which the temporal evolution has been studied in RS20.

Figure 10

Figure 10.Decomposition of bimodal ribbons into left and right oriented oblique rolls ($OR^{l,r}$). The bifurcation diagram with details of the decomposition (left) is shown together with visualizations of the temperature and velocity fields on the right (red labels in the diagram indicate panels on the right). The $RB$ state bifurcates together with $OR^{l,r}$ in equivariant pitchfork bifurcations from the laminar base flow. At $\unicode[STIX]{x1D6FE}=40^{\circ }$, $RB$ emerges with one additional unstable eigendirection, and $OR^{l,r}$ become dynamically stable in a $[2\unicode[STIX]{x1D706}_{x},\unicode[STIX]{x1D706}_{y}]$-periodic domain at $\unicode[STIX]{x1D716}=0.282$ (solid line in top left panel). The optimal decomposition $\boldsymbol{x}_{RB}(\unicode[STIX]{x1D716})=\unicode[STIX]{x1D6FC}(\unicode[STIX]{x1D716})\boldsymbol{x}_{OR}^{l}(\unicode[STIX]{x1D716})+\unicode[STIX]{x1D6FD}(\unicode[STIX]{x1D716})\boldsymbol{x}_{OR}^{r}(\unicode[STIX]{x1D716})+\boldsymbol{d}(\unicode[STIX]{x1D716})$ implies linearly decreasing equal coefficients $\unicode[STIX]{x1D6FC}=\unicode[STIX]{x1D6FD}$ along the branches (middle panel). The difference vector $\boldsymbol{d}$ grows linearly in $\Vert \unicode[STIX]{x1D703}\Vert _{2}$ from zero at the bifurcation point (bottom panel). Thus, $RB$ can be viewed as a bimodal state combining two equally contributing oblique rolls.

Figure 11

Figure 11.Decomposition of knots into longitudinal and transverse oriented rolls, $LR$ and $TR$, respectively. The bifurcation diagram with details of the decomposition (left) is shown together with visualizations of the temperature and velocity fields on the right (red labels in the diagram indicate panels on the right). The $KN$ state connects $TR$ and $LR$ at $\unicode[STIX]{x1D6FE}=80^{\circ }$ (top). Dynamical stability in a $[\unicode[STIX]{x1D706}_{x},\unicode[STIX]{x1D706}_{y}]$-periodic domain is indicated by the solid lines. Here ‘RS20’ labels the control parameter value where the temporal evolution has been studied in RS20. Between the bifurcation points, the optimal decomposition $KN(\unicode[STIX]{x1D716})=\unicode[STIX]{x1D6FC}(\unicode[STIX]{x1D716})TR(\unicode[STIX]{x1D716}=0.024)+\unicode[STIX]{x1D6FD}(\unicode[STIX]{x1D716})LR(\unicode[STIX]{x1D716}=0.22)+\boldsymbol{d}(\unicode[STIX]{x1D716})$ results in decreasing $\unicode[STIX]{x1D6FC}$, increasing $\unicode[STIX]{x1D6FD}$ (middle) and parabolically varying $\boldsymbol{d}$ (bottom). Thus, $KN$ can be viewed as a bimodal state combining transverse and longitudinal rolls with monotonically changing relative contributions.

Figure 12

Figure 12.Continuation of $TO$ at $\unicode[STIX]{x1D6FE}=100^{\circ }$ towards a chaotic state space. (a) Midplane temperature of $TO$ at $Ra=11\,000$ ($\unicode[STIX]{x1D716}=0.203$) before instabilities create a turbulent flow (b). The corresponding simulated time series of $TO$ (d) shows the transition from a periodic to a turbulent signal. The transition is a consequence of the many linear instabilities of $TO$ (f) that have emerged along the bifurcation branch (c). Solid/dotted bifurcation branches indicate stable and unstable states in the symmetry subspace of $S=\langle \unicode[STIX]{x03C0}_{y},\unicode[STIX]{x03C0}_{xz},\unicode[STIX]{x1D70F}(0.5,0.5)\rangle$. Here ‘RS20’ labels the control parameter value at which the temporal evolution has been studied in RS20. The changing relative period $T^{\prime }$ of $TO$ along the bifurcation branch is shown in (e) and compared to the time scale of thermal diffusion $H^{2}/\unicode[STIX]{x1D705}$ and laminar mean advection $L_{x}/\bar{U}_{0}$ (dashed and dashed–dotted lines).

Figure 13

Table 2.Critical thresholds and wavelengths $[l_{x},l_{y}]$ of secondary instabilities determined by Floquet analysis (Subramanian et al.2016), and the critical bifurcation points determined by the present bifurcation analysis for prescribed box sizes $[L_{x},L_{y}]$. The comparison requires to state all critical frequencies $\unicode[STIX]{x1D714}_{c}^{\dagger }$ in diffusion time scales. Frequencies in free fall time units, used throughout this paper series, are obtained via $\unicode[STIX]{x1D714}=\unicode[STIX]{x1D714}^{\dagger }/\sqrt{PrRa}$.

Figure 14

Figure 13.Existence regions of invariant states in the considered parameter space at $Pr=1.07$. Local symmetry-breaking bifurcations are marked and connected to guide the eye: $SV$ (), $WR$ (○) and $KN$ (♢) bifurcate in pitchfork bifurcations. The $SSW/STW$ (▫) and $TO$ ($\star$) states bifurcate in Hopf bifurcations. Where existence is not limited by symmetry-breaking bifurcations, the limits are due to folds, global bifurcations or, in the case of $TO$, due to numerical challenges. Hatched regions of existence allow us to better distinguish $SSW$ ($\times$) and $STW$ ($+$).