CHEN Xin, WANG Gang, YE Zhengyin. Uncertainty quantification of Menter SST turbulence model coefficients in hypersonic flow simulations[J]. 2024, 42(9): 70-85.
CHEN Xin, WANG Gang, YE Zhengyin. Uncertainty quantification of Menter SST turbulence model coefficients in hypersonic flow simulations[J]. 2024, 42(9): 70-85.DOI: 10.7638/kqdlxxb-2024.0047.
Uncertainty quantification of Menter SST turbulence model coefficients in hypersonic flow simulations
The precision of numerical simulations for hypersonic flows is significantly influenced by the uncertainties in the closure coefficients of the Menter SST turbulence model. This study conducts a quantitative assessment of these uncertainties across three canonical hypersonic models: the two-dimensional compression corner
the two-dimensional cylinder
and the three-dimensional double ellipsoid. Firstly
the non-intrusive polynomial chaos method is used to quantify the uncertainty in the numerical simulations of aerodynamic forces and heating caused by the uncertain closure coefficients of the Menter SST turbulence model. The sensitivities of the closure coefficients are then ranked based on the Sobol sensitivity index to identify the key factors contributing to the uncertainty. The results show that uncertainties in aerodynamic heating generally exceed those in aerodynamic forces. Among all the nine closure coefficients examined in this paper
${\sigma _{\omega 1}}$、${\beta ^*}$、$\kappa $、${a_1}$ are the key model parameters that contribute significantly to the uncertainty of the simulation results. And the sensitivities of which are related to local flow characteristics. In most flow areas
the coefficients of production term ${\sigma _{\omega 1}}$ and $\kappa $ are the main factors contributing to the uncertainty of the numerical simulation results. While in regions of flow separation or behind shock waves
the simulation results are more significantly influenced the dissipation term coefficient ${\beta ^*}$ and the shear stress limiter ${a_1}$.
关键词
Keywords
references
GUI Y W, LIU L, WEI D . Combined thermal phenomena issues of long endurance hypersonic vehicles[J ] . Acta Aerodynamica Sinica, 2020 , 38 ( 4 ): 641 − 650 (in Chinese).
WANG Q Y, CONG K L, LIU L L, et al . Research status on aerodynamic force and heat of near space hypersonic flight vehicle[J ] . Physics of Gases, 2017 , 2 ( 4 ): 46 − 55 (in Chinese).
YU C Z, LIU W H . Research status of aeroheating prediction technology for hypersonic aircraft[J ] . Aeronautical Science and Technology, 2021 , 32 ( 02 ): 14 − 21 (in Chinese).
BOSE D, BROWN J, PRABHU D, et al. Uncertainty assessment of hypersonic aerothermodynamics prediction capability[C]//42nd AIAA Thermophysics Conference, Honolulu, Hawaii. Reston, Virginia: AIAA, 2011: 3141.
ROY C J, BLOTTNER F G . Review and assessment of turbulence models for hypersonic flows[J ] . Progress in Aerospace Sciences, 2006 , 42 ( 7-8 ): 469 − 530 .
GEORGIADIS N, YODER D. Recalibration of the shear stress transport model to improve calculation of shock separated flows[C]//51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Grapevine (Dallas/Ft. Worth Region), Texas. Reston, Virginia: AIAA, 2013: 685.
CHEN X, WANG G, YE Z Y, et al . A review of uncertainty quantification methods for Computational Fluid Dynamics[J ] . Acta Aerodynamica Sinica, 2021 , 39 ( 4 ): 1 − 13 (in Chinese).
XIAHOU T F, CHEN J T, SHAO Z D, et al . Model validation metrics for CFD numerica l simulation under aleatory and epistemic uncertainty[J ] . Acta Aeronautica et Astronautica Sinica, 2022 , 43 ( 8 ): 174 − 190 (in Chinese).
CHEN J T, XIAO W, ZHAO W, et al . Advances in verification and validation in computational fluid dynamics[J ] . Advances in Mechanics, 2023 , 53 ( 3 ): 626 − 660 (in Chinese).
WEST T K IV, HOSDER S . Uncertainty quantification of hypersonic reentry flows with sparse sampling and stochastic expansions[J ] . Journal of Spacecraft and Rockets, 2015 , 52 ( 1 ): 120 − 133 .
ZHAO Y T, YAN C, WANG X Y, et al . Uncertainty and sensitivity analysis of SST turbulence model on hypersonic flow heat transfer[J ] . International Journal of Heat and Mass Transfer, 2019 , 136 : 808 − 820 .
LI J P, ZENG F Z, JIANG Z H, et al . Investigations on turbulence model uncertainty for hypersonic shock-wave/boundary-layer interaction flows[J ] . AIAA Journal, 2022 , 60 ( 8 ): 4509 − 4522 .
ZHANG K L, LI S Y, DUAN Y, et al . Uncertainty quantification of parameters in SST turbulence model for inlet simulation[J ] . Acta Aeronautica et Astronautica Sinica, 2023 , 44 ( S2 ): 729429 (in Chinese).
WANG G, YE Z Y. Mixed element type unstructured grid generation and its application to viscous flow simulation[C]// 24th Congress of International Council of the Aeronautical Sciences, Yokohama, Japan, 2004.
LIU Y, WANG G, Ye Z Y . Numerical investigation of aerodynamic and aero-thermal effects for hypersonic vehicles[J ] . Journal of Northwestern Polytechnical University, 2014 , 32 ( 02 ): 169 − 175 (in Chinese).
WANG G, MIAN H H, YE Z Y, et al . Numerical study of transitional flow around NLR-7301 airfoil using correlation-based transition model[J ] . Journal of Aircraft, 2014 , 51 ( 1 ): 342 − 350 .
LIU Y, WANG G, ZHU H Y, et al . Numerical analysis of transonic buffet flow around a hammerhead payload fairing[J ] . Aerospace Science and Technology, 2019 , 84 : 604 − 619 .
VENKATAKRISHNAN V. On the accuracy of limiters and convergence to steady state solutions[C]//31st Aerospace Sciences Meeting, Reno, NV. Reston, Virginia: AIAA, 1993: 880.
REN J, WANG G, MA B P. Multidimensional extension and application of entropy-consistent scheme for navier-stokes equations on unstructured grids[C]//23rd AIAA Computational Fluid Dynamics Conference, Denver, Colorado. Reston, Virginia: AIAA, 2017: 4403.
MENTER F R . Two-equation eddy-viscosity turbulence models for engineering applications[J ] . AIAA Journal, 1994 , 32 ( 8 ): 1598 − 1605 .
SCHAEFER J, HOSDER S, WEST T, et al . Uncertainty quantification of turbulence model closure coefficients for transonic wall-bounded flows[J ] . AIAA Journal, 2016 , 55 ( 1 ): 195 − 213 .
XIONG F F, CHEN J T, REN C K, et al . Recent advances in polynomial chaos method for uncertainty propagation[J ] . Chinese Journal of Ship Research, 2021 , 16 ( 4 ): 19 − 36 (in Chinese).
XIU D B, KARNIADAKIS G E . The wiener-askey polynomial chaos for stochastic differential equations[J ] . SIAM Journal on Scientific Computing, 2002 , 24 ( 2 ): 619 − 644 .
ASKEY R, WILSON J A. Some basic hypergeometric orthogonal polynomials that generalize Jacobi polynomials[M]. Providence, R. I. , U. S. A. : American Mathematical Society, 1985.
SOBOL I M . Sensitivity estimates for nonlinear mathematical models[J ] . Mathematical Modelling and Computational Experiments, 1993 , 1 : 407 − 414 .
COLEMAN G T, STOLLERY J L . Heat transfer from hypersonic turbulent flow at a wedge compression corner[J ] . Journal of Fluid Mechanics, 1972 , 56 ( 4 ): 741 − 752 .
HOLDEN M, MOSELLE J, WIETING A, et al. Studies of aerothermal loads generated in regions of shock/shock interaction in hypersonic flow[C]//26th Aerospace Sciences Meeting, Reno, NV. Reston, Virginia: AIAA, 1988: 477.
LI S X. Hypersonic flow characteristics of typical shape[M]. Beijing: National Defense Industry Press, 2007(in Chinese).