An improved discontinuity sensor for high-order weighted essentially non-oscillatory scheme on triangular meshes

被引:0
|
作者
Wang, Zhenming [2 ,3 ]
Tian, Linlin [3 ]
Zhu, Jun [1 ,2 ]
Zhao, Ning [1 ,3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Aerosp Struct, Nanjing 210016, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Key Lab Math Modelling & High Performance Comp Air, Nanjing 210016, Jiangsu, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Jiangsu Key Lab Hitech Res Wind Turbine Design, Nanjing 210016, Jiangsu, Peoples R China
基金
国家自然科学基金重大项目; 中国国家自然科学基金;
关键词
Discontinuity sensor; High order accuracy; Hybrid method; Unstructured meshes; Weighted essentially non-oscillatory scheme; FINITE-VOLUME SCHEMES; WENO SCHEMES; UNSTRUCTURED MESHES; ENO SCHEMES; DIFFERENCE; SIMULATION;
D O I
10.1016/j.jcp.2023.112299
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, a new type of hybrid weighted essentially non-oscillatory (WENO) schemes with third-order and fourth-order accuracy is developed to simulate compressible flow problems on unstructured meshes. First, an improved discontinuity sensor is designed on unstructured meshes, which can automatically and accurately identify the troubled cells without manually adjusting the parameters related to the problem. Second, a hybrid unequal-sized WENO (US-WENO) scheme with different accuracy is developed based on the new hybridization strategy and the existing US-WENO scheme to reduce the computational overhead caused by the computation of nonlinear weights and local characteristic decompositions in WENO procedures. Finally, some benchmark examples are employed to verify the performance of the proposed method in terms of numerical dissipation, shock capture ability, and computational efficiency. Numerical experiments show that the proposed hybrid US-WENO schemes can inherit the excellent characteristics of the original US-WENO schemes while improving computational efficiency.& COPY; 2023 Elsevier Inc. All rights reserved.
引用
收藏
页数:16
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