Structural uncertainty quantification of Reynolds-Averaged Navier-Stokes closures for various shock-wave/boundary layer interaction flows

被引:2
|
作者
Zeng, Fanzhi [1 ]
Zhang, Tianxin [1 ]
Tang, Denggao [1 ]
Li, Jinping [2 ]
Yan, Chao [1 ]
机构
[1] Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China
[2] Air Force Engn Univ, Sch Aeronaut Engn, Xian 710038, Peoples R China
基金
中国国家自然科学基金;
关键词
Shock-wave/boundary layer interaction (SWBLI); Turbulence models; Uncertainty analysis; Eigenspace perturbation; Anisotropy; TURBULENT-BOUNDARY-LAYER; MODEL-FORM UNCERTAINTIES; SIMULATIONS; CALIBRATION; PREDICTION; PROGRESS;
D O I
10.1016/j.cja.2023.09.029
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Accurate prediction of Shock-Wave/Boundary Layer Interaction (SWBLI) flows has been a persistent challenge for linear eddy viscosity models. A major limitation lies in the isotropic representation of the Reynolds stress, as assumed under the Boussinesq approximation. Recent studies have shown promise in improving the prediction capability for incompressible separation flows by perturbing the Reynolds -stress anisotropy tensor. However, it remains uncertain whether this approach is effective for SWBLI flows, which involve compressibility and discontinuity. To address this issue, this study systematically quantifies the structural uncertainty of the anisotropy for oblique SWBLI flows. The eigenspace perturbation method is applied to perturb the anisotropy tensor predicted by the Menter Shear-Stress Transport (SST) model and reveal the impacts of anisotropy on the prediction of quantities of interest, such as separation and reattachment positions, wall static pressure, skin friction, and heat flux. The results demonstrate the potential and reveal the challenges of eigenspace perturbation in improving the SST model. Furthermore, a detailed analysis of turbulent characteristics is performed to identify the source of uncertainty. The findings indicate that eigenspace perturbation primarily affects turbulent shear stress, while the prediction error of the SST model is more related to turbulent kinetic energy. (c) 2023 Production and hosting by Elsevier Ltd. on behalf of Chinese Society of Aeronautics and Astronautics. This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:34 / 48
页数:15
相关论文
共 50 条
  • [21] Unsteady Reynolds-averaged Navier-Stokes computations of transitional wake/blade interaction
    Lardeau, S.
    Leschziner, M.A.
    AIAA Journal, 2004, 42 (08): : 1559 - 1571
  • [22] Quantification of Reynolds-averaged-Navier-Stokes model-form uncertainty in transitional boundary layer and airfoil flows
    Chu, Minghan
    Wu, Xiaohua
    Rival, David E.
    PHYSICS OF FLUIDS, 2022, 34 (10)
  • [23] Uncertainty quantification analysis of Reynolds-averaged Navier-Stokes simulation of spray swirling jets undergoing vortex breakdown
    Liberatori, Jacopo
    Galassi, Riccardo M.
    Valorani, Mauro
    Ciottoli, Pietro P.
    INTERNATIONAL JOURNAL OF SPRAY AND COMBUSTION DYNAMICS, 2023, 15 (04) : 218 - 236
  • [24] Multifidelity uncertainty quantification using reduced-basis methods with application to the Reynolds-averaged Navier-Stokes equations
    Parish, Eric J.
    Geraci, Gianluca
    Krath, Elizabeth
    Blonigan, Patrick
    AIAA SCITECH 2024 FORUM, 2024,
  • [25] Reynolds-Averaged Navier-Stokes Computations of Synthetic Jet Flows Using Deforming Meshes
    Yoo, Ilyong
    Lee, Seungsoo
    AIAA JOURNAL, 2012, 50 (09) : 1943 - 1955
  • [26] SOLUTIONS OF REYNOLDS-AVERAGED NAVIER-STOKES EQUATIONS FOR 3-DIMENSIONAL INCOMPRESSIBLE FLOWS
    CHEN, HC
    PATEL, VC
    JU, S
    JOURNAL OF COMPUTATIONAL PHYSICS, 1990, 88 (02) : 305 - 336
  • [28] Hybrid Reynolds-Averaged Navier-Stokes and Kinetic Eddy Simulation of External and Internal Flows
    Zaki, Mina
    Menon, Suresh
    Sankar, Lakshmi N.
    JOURNAL OF AIRCRAFT, 2010, 47 (03): : 805 - 811
  • [29] Reynolds-averaged Navier-Stokes initialization and benchmarking in shock-driven turbulent mixing
    Haines, Brian M.
    Grinstein, Fernando F.
    Schwarzkopf, John D.
    JOURNAL OF TURBULENCE, 2013, 14 (02): : 46 - 70
  • [30] Assessment of Reynolds-Averaged Navier-Stokes Simulations for Predicting Scaling Trends in Shock-Separated Boundary Layers
    Muir, David P.
    Martin, M. Pino
    AIAA AVIATION FORUM AND ASCEND 2024, 2024,