A Surrogate-Based eN Method for Compressible Boundary-Layer Transition Prediction

Nie, Han; Song, Wenping; Han, Zhong-Hua; Chen, Jianqiang; Tu, Guohua

doi:10.2514/1.c036377

Cited by 10 publications

(2 citation statements)

References 47 publications

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“…Moreover, it even outperforms direct linear stability calculations for under-resolved basic states. Nie et al [33] provided a surrogate-based stability analysis method for oblique first modes and Mack modes in self-similar compressible boundary layers at Mach 0~6.…”

Section: Introductionmentioning

confidence: 99%

Application of surrogate models to stability analysis and transition prediction in hypersonic flows

Nie

Song

Han

et al. 2022

Preprint

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To increase the efficiency and convenience of stability-based transition prediction in flow simulations, simplified methods are introduced to substitute direct stability analyses for rapid disturbance growth prediction. For low-speed boundary layers, these methods are mainly established based on a self-similar assumption, which is not applicable to non-similar hypersonic flows over blunt cones. The objective of this article is to investigate the application of surrogate models to substitute linear stability analysis for non-similar flows on blunt cones, focused on input parameters for boundary-layer (BL) profile description. Firstly, correlations analyses between BL edge and profile parameters are conducted, along with a self-similar analysis and a discrete BL profile analysis, which present four groups of BL characteristic parameters. Secondly, using these parameters as inputs, surrogate models are built for disturbance growth prediction over an MF-1 blunt cone at flight experiments. Results show that, using 4 BL edge parameters and a BL shape factor {Ue, Te, ρe, ηe, H12} can achieve comparable accuracy with using 16 discrete BL profile parameters, which is also more precise than using merely self-similar parameters or BL edge parameters. Thirdly, the established surrogate models are validated in stability analysis and transition prediction over the MF-1 blunt cone at the moments of t =17s~22s in flight experiments. Compared with direct linear stability analyses, the mean relative error of predicted disturbance growth rates by surrogate models is 8.0% and the maximum relative error of N factor envelopes is 6.6%, which indicates the feasibility of using surrogate models to substitute stability analysis in transition prediction of non-similar flows over hypersonic boundary layers.

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Section: Introductionmentioning

confidence: 99%

Application of surrogate models to stability analysis and transition prediction in hypersonic flows

Nie

Song

Han

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Moreover, it even outperforms direct linear stability calculations for some under-resolved basic states. Nie et al [33] provided a surrogate-based stability analysis method for oblique first modes and Mack modes in self-similar compressible boundary layers at Mach 0 ~ 6.…”

mentioning

confidence: 99%

Application of surrogate models to stability analysis and transition prediction in hypersonic flows

et al. 2022

View full text Add to dashboard Cite

To increase the efficiency and robustness of stability-based transition prediction in flow simulations, simplified methods are introduced to substitute direct stability analyses for rapid disturbance growth prediction. For low-speed boundary layers, these methods are mainly established based on self-similar assumptions, which are not applicable to non-similar boundary layers in hypersonic flows. The objective of this article is to investigate the application of surrogate models to stability analysis of non-similar flows over blunt cones, focused on parameterization of boundary-layer (BL) profiles. Firstly, correlations between BL edge and profile parameters are analyzed, along with self-similar flow parameters and discrete points on BL profiles, which present four groups of BL characteristic parameters. Secondly, using these parameters as inputs, surrogate models are built for disturbance growth prediction over an MF-1 blunt cone. Results show that, surrogate models using four BL edge parameters and a BL shape factor {Ue, Te, ρe, ηe, H12} for stability analysis can achieve comparable accuracy with those using 16 discrete BL profile parameters, which are more precise than those using merely self-similar parameters or BL edge parameters. Thirdly, the established surrogate models are validated by stability analysis and transition prediction over the MF-1 blunt cone in flight experiments at the instants of t = 17 s ~ 22 s. Compared with direct linear stability analyses, the mean relative error of predicted disturbance growth rates by surrogate models is 8.0% and the maximum relative error of N factor envelopes is 6.6%, which indicates feasible applications of surrogate models to stability analysis and transition prediction of non-similar boundary layers in hypersonic flows.

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A Surrogate-Based $$e^N$$ Transition Prediction Method for Three-Dimensional Compressible Boundary Layers

Theiss,

Hein

2023

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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A Surrogate-Based eN Method for Compressible Boundary-Layer Transition Prediction

Cited by 10 publications

References 47 publications

Application of surrogate models to stability analysis and transition prediction in hypersonic flows

Application of surrogate models to stability analysis and transition prediction in hypersonic flows

Application of surrogate models to stability analysis and transition prediction in hypersonic flows

A Surrogate-Based $$e^N$$ Transition Prediction Method for Three-Dimensional Compressible Boundary Layers

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