High-Order Finite Difference Schemes Based on Symmetric Conservative Metric Method: Decomposition, Geometric Meaning and Connection with Finite Volume Schemes

Authors

  • Xiaogang Deng National University of Defense Technology, Changsha 410073, Hunan, China
  • Huajun Zhu State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China
  • Yaobing Min State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China
  • Huayong Liu State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China
  • Meiliang Mao State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China
  • Guangxue Wang Sun Yat-Sen University, Guangzhou 510275, China

DOI:

https://doi.org/10.4208/aamm.OA-2017-0243

Keywords:

High-order, finite difference schemes, symmetric conservative metric method, finite volume schemes, complex geometries.

Abstract

High-order finite difference schemes (FDSs) based on symmetric conservative metric method (SCMM) are investigated. Firstly, the decomposition and geometric meaning of the discrete metrics and Jacobian based on SCMM are proposed. Then, high-order central FDS based on SCMM is proved to be a weighted summation of second-order finite difference schemes (FDSs). Each second-order FDS has the same vectorized surfaces and cell volume as a second-order finite volume scheme (FVS), and the cell volume is uniquely determined by the vectorized surfaces. Moreover, the decomposition and connection with FVSs are also discussed for general high-order FDSs. SCMM can be applied for high-order weighted compact nonlinear scheme (WCNS). Numerical experiments show superiority of high-order WCNS based on SCMM in stability, accuracy and ability to compute flows around complex geometries. The results in this paper may to some extent explain why high-order FDSs based on SCMM can solve problems with complex geometries and may give some guidance in constructing high-order FDSs on curvilinear coordinates.

Published

2020-01-17

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