A general framework of high-resolution hybrid central/WENO numerical scheme for turbulent compressible simulation
Autor: | Da-Peng Xiong, Mingbo Sun, Liang Li, Tao Tang, Hongbo Wang, Ming-Jiang Liu, Guoyan Zhao |
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Rok vydání: | 2021 |
Předmět: |
Physics
Scheme (programming language) Work (thermodynamics) Turbulence High resolution Statistical and Nonlinear Physics Mechanics Dissipation Condensed Matter Physics 01 natural sciences 010305 fluids & plasmas Shock (mechanics) 010101 applied mathematics 0103 physical sciences Compressibility 0101 mathematics computer computer.programming_language |
Zdroj: | Modern Physics Letters B. 35:2150118 |
ISSN: | 1793-6640 0217-9849 |
DOI: | 10.1142/s0217984921501189 |
Popis: | This work presents a general framework of finite-difference hybrid scheme which contains a linear central scheme and a nonl-inear WENO scheme. A new optimal-designed shock sensor is used to distinguish the smoothness of flowfield and a binary-type weighting function is used to switch sub-schemes rationally. Based on the above improvements, the effects of different combinations of each component within the hybrid scheme are characterized in linear advection equation and Euler equations. The maximum reference threshold values are provided. Extensive test cases indicate the hybrid scheme’s numerical robustness, low-dissipation, and superior computational efficiency. Specifically, benefited from the high-resolution shock sensor which can accurately perceive shocks without excessive misidentifications, the hybrid scheme can achieve non-oscillatory solutions, and resolve more vortices in smooth regions compared to the original shock-capturing scheme. Meanwhile, the superiority of the hybrid scheme is further confirmed in the Reynolds-averaged Navier–Stokes equations/Lager Eddy Simulations (RANS/LES) for the DLR scramjet combustor case with viscous terms and/or sub-grid scale models are used. The present hybrid framework can be easily implemented within the existing numerical simulation code framework. |
Databáze: | OpenAIRE |
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