High-Order Adaptive Dissipation Scheme Based on Vortex Recognition for Compressible Turbulence Flow

被引:0
|
作者
Cai, Jiahong [1 ]
Wang, Shengye [1 ]
Liu, Wei [1 ]
机构
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Peoples R China
基金
中国国家自然科学基金;
关键词
Weighted compact nonlinear scheme; high-order; shock-capturing; compressible turbulence; FINITE-DIFFERENCE SCHEMES; SHOCK; SIMULATION; IDENTIFICATION; BUFFET;
D O I
10.4208/cicp.OA-2023-0164
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In the numerical simulation of compressible turbulence involving shock waves, accurately capturing the intricate vortex structures and robustly computing the shock wave are imperative. Employing a high -order scheme with adaptive dissipation characteristics proves to be an efficient approach in distinguishing small-scale vortex structures with precision while capturing discontinuities. However, differentiating between small-scale vortex structures and discontinuities during calculations has been a key challenge. This paper introduces a high -order adaptive dissipation centralupwind weighted compact nonlinear scheme based on vortex recognition (named as WCNS-CU- ohm ), that is capable of physically distinguishing shock waves and smallscale vortex structures in the high wave number region by identifying vortices within the flow field, thereby enabling adaptive control of numerical dissipation for interpolation schemes. A variety of cases involving Euler, N -S even RANS equations are tested to verify the performance of the WCNS-CU- ohm scheme. It was found that this new scheme exhibits excellent small-scale resolution and robustness in capturing shock waves. As a result, it can be applied more broadly to numerical simulations of compressible turbulence.
引用
收藏
页码:395 / 426
页数:32
相关论文
共 50 条
  • [31] Unsteady compressible flow computations using an adaptive multiresolution technique coupled with a high-order one-step shock-capturing scheme
    Tenaud, Christian
    Roussel, Olivier
    Bentaleb, Linda
    [J]. COMPUTERS & FLUIDS, 2015, 120 : 111 - 125
  • [32] On the performance of relaxation and adaptive explicit Runge-Kutta schemes for high-order compressible flow simulations
    Al Jahdali, Rasha
    Dalcin, Lisandro
    Parsani, Matteo
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 464
  • [33] A Cartesian-based embedded geometry technique with adaptive high-order finite differences for compressible flow around complex geometries
    Uddin, H.
    Kramer, R. M. J.
    Pantano, C.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 262 : 379 - 407
  • [34] Turbulence of a Fin Trailing Vortex in Subsonic Compressible Flow
    Beresh, Steven J.
    Henfling, John F.
    Spillers, Russell W.
    [J]. AIAA JOURNAL, 2012, 50 (11) : 2609 - 2622
  • [35] A High-Order Moving Mesh Kinetic Scheme Based on WENO Reconstruction for Compressible Flows on Unstructured Meshes
    Xu, Xihua
    Ni, Guoxi
    Jiang, Song
    [J]. JOURNAL OF SCIENTIFIC COMPUTING, 2013, 57 (02) : 278 - 299
  • [36] A High-Order Moving Mesh Kinetic Scheme Based on WENO Reconstruction for Compressible Flows on Unstructured Meshes
    Xihua Xu
    Guoxi Ni
    Song Jiang
    [J]. Journal of Scientific Computing, 2013, 57 : 278 - 299
  • [37] High-order discretization-based self-adaptive turbulence eddy simulation for supersonic base flow with PHengLEI software
    Wu, Wenchang
    Yan, Zhenguo
    Min, Yaobing
    Han, Xingsi
    Ma, Yankai
    Zhao, Zhong
    [J]. ENGINEERING COMPUTATIONS, 2024, 41 (04) : 819 - 841
  • [38] Analyses of the Dispersion Overshoot and Inverse Dissipation of the High-Order Finite Difference Scheme
    Li, Qin
    Guo, Qilong
    Zhang, Hanxin
    [J]. ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 2013, 5 (06) : 809 - 824
  • [39] Adaptive order reduction scheme for high-order single-bit ΔΣ modulators
    Bourdopoulos, GI
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2004, 51 (05) : 213 - 216
  • [40] An Efficient Low-Dissipation High-Order TENO Scheme for MHD Flows
    Lin Fu
    [J]. Journal of Scientific Computing, 2022, 90