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Beyond classical similitude: group theoretic extrapolation of hypersonic stagnation-point boundary layers

Published online by Cambridge University Press:  13 October 2026

Shujaut H. Bader*
Affiliation:
Center for Hypersonics and Entry Systems Studies, University of Illinois, Urbana-Champaign, IL, USA
Daniel J. Bodony
Affiliation:
Center for Hypersonics and Entry Systems Studies, University of Illinois, Urbana-Champaign, IL, USA
*
Corresponding author: Shujaut H. Bader, shbader@illinois.edu

Abstract

Content of image described in text.

Motivated by the need to extrapolate the results from ground-based experiments to the conditions of high-speed flight, we present the Lie equivalence-symmetry analysis of the hypersonic stagnation-point boundary layers (BLs). We demonstrate the application of the equivalence symmetry on the set of coupled ordinary differential equations (ODEs) which are physically relevant in hypersonics. By allowing the property laws to transform along with the independent and dependent variables, the invariants derived within the similarity-reduced stagnation-point ODE formulation identify families of nonlinear maps that can be used to extrapolate the laboratory-scale predictions to flight. In practice, implementing these maps requires the laboratory-scale ODE solution together with the laboratory- and flight-side thermochemical-property data, which are generally available from existing databases. The maps are derived for the similarity-reduced non-dimensional temperature across the BL and show reasonable agreement with independently computed flight solutions for the cases considered, with maximum pointwise relative errors up to approximately $3.3\,\%$ in the near-wall region and $4.1\,\%$ across the full BL. The broad impact of the study is that it suggests a new equivalence-symmetry-based route for addressing scale-bridging problems in fluid mechanics.

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Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Integrals H(g)$H(g)$ for (a) case 1: TLw=100$T_L^w=100$ K, TFw=1000$T_F^w=1000$ K and TLe=2935$T_L^e=2935$ K, TFe=3103$T_F^e=3103$ K, (b) case 2: TLw=100$T_L^w=100$ K, TFw=200$T_F^w=200$ K and TLe=2935$T_L^e=2935$ K, TFe=4165$T_F^e=4165$ K and (c) case 3: TLw=100$T_L^w=100$ K, TFw=1000$T_F^w=1000$ K and TLe=2935$T_L^e=2935$ K, TFe=8586$T_F^e=8586$ K. The integrals are monotone with respect to g$g$. The abscissa g$g$ is an arbitrary uniform g-grid selected to compute the integrals with the given Tw,Te$T^w, T^e$ for both laboratory and flight cases.

Figure 1

Figure 2. Illustration of the interpolation procedure used to infer g^$\hat {g}$ from the map (3.8). Here, the green curve represents the laboratory-side property integral HL$H_L$ and the blue curve represents its flight-side counterpart evaluated on an arbitrary grid. The mapping procedure follows a continuous path from the laboratory state to the flight state: starting at gL$g_L$, we compute the laboratory integral HL$H_L$, scale it to the flight target HL=eK0HL$\mathcal{H}_L = e^{K_0}H_L$, and find the corresponding flight temperature g^$\hat {g}$ through the inversion of the HF$H_F$ curve.

Figure 2

Figure 3. Figure 3 long description.Thermophysical-property profiles in laboratory and flight conditions and the corresponding boundary-layer temperature profiles for three test cases. Panels (a–d), (f–i) and (k–n) show the laboratory and flight laws for ℓ0$\ell _0$, χ$\chi$, Rρ$R_{\rho }$ and Cp$C_{\kern-1pt p}$, respectively; panels (e), (j) and (o) compare the mapped temperature profile g^(η^)$\hat {g}(\hat {\eta })$ with the laboratory gL(ηL)$g_L(\eta _L)$ and flight gF(ηF)$g_F(\eta _F)$ profiles. Row 1 (case 1): TwL=100K$T_w^L=100\,\mathrm{K}$, TwF=1000K$T_w^F=1000\,\mathrm{K}$, TeL=2935K$T_e^L=2935\,\mathrm{K}$, TeF=3103K$T_e^F=3103\,\mathrm{K}$. Row 2 (case 2): TwL=100K$T_w^L=100\,\mathrm{K}$, TwF=200K$T_w^F=200\,\mathrm{K}$, TeL=2935K$T_e^L=2935\,\mathrm{K}$, TeF=4165K$T_e^F=4165\,\mathrm{K}$. Row 3 (case 3): TwL=100K$T_w^L=100\,\mathrm{K}$, TwF=1000K$T_w^F=1000\,\mathrm{K}$, TeL=2935K$T_e^L=2935\,\mathrm{K}$, TeF=8586K$T_e^F=8586\,\mathrm{K}$.

Figure 3

Table 1. Quantitative comparison between the mapped and directly computed flight temperature profiles. The second and third columns denote the temperature gradient computed at the wall using the true flight solution (dgF/dη|η=0${\rm d}g_F/{\rm d}\eta |_{\eta =0}$) and the mapped solution (dg^/dη|η=0${\rm d}\hat {g}/{\rm d}\eta |_{\eta =0}$), respectively. The last two columns represent the maximum pointwise relative error Erel,∞Ω=||(g^−gF)/gF||L∞(Ω)×100$\mathcal{E}_{{rel},\infty }^{\varOmega } = | | ({ \hat {g}-g_F })/{ g_F } | |_{L^{\infty }(\varOmega )} \times 100$, where NW denotes the near-wall region Ω≡{0≤η≤1}$\varOmega \equiv \{0\leq \eta \leq 1\}$, and FL denotes the full layer. The case indices are the same as listed in the caption of figure 3.Table 1 long description.

Figure 4

Figure 4. Comparison of transformed C^p$\hat {C}_{\kern-1pt p}$ obtained from the χ$\chi$-based reparametrisation of temperature for the two cases presented in the rows 2 (panel (a) here) and 3 (panel (b) here) of figure 3.