This paper contributes towards a more complete approach to capture very strong shocks in various applications of high speed compressible Navier-Stokes flows including blasts and explosions using second order finite volume method on unstructured grids. The HLLC Riemann solver is employed to solve for fluxes at cell interfaces with second order approximation of local Riemann states, thus obtaining second order accuracy. In order to stabilize solutions due to high order approximation of solutions in the presence of discontinuities, several strategies are presented in this work Slope limiters are first explored on unstructured grid to maintain monotonicity of the solution reconstruction following local extremum diminishing (LED) or total variation diminishing (TVD) criteria. The hybrid HLLC/HLLE scheme is appended to eliminate shock instabilities in very strong shock cases. To improve resolution of shocks, a local mesh adaptation scheme is used to increase mesh resolution in areas of high gradients. The scheme only regenerates mesh locally and is proven to be robust and efficient for capturing of unsteady shock propagation applications. Comparisons on the accuracy and performance of different methods on various applications are drawn to suggest a more robust and efficient method for capturing shocks on unstructured grids. (C) 2012 Elsevier Ltd. All rights reserved.
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Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
Hong Kong Univ Sci & Technol, Dept Math, Clear Water Bay, Hong Kong, Peoples R ChinaBeijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
Yang, Yaqing
Pan, Liang
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Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
Pan, Liang
Xu, Kun
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Hong Kong Univ Sci & Technol, Dept Math, Clear Water Bay, Hong Kong, Peoples R China
Hong Kong Univ Sci & Technol, Shenzhen Res Inst, Shenzhen, Peoples R ChinaBeijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
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Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Clear Water Bay, Hong Kong, Peoples R ChinaBeijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
Yang, Yaqing
Pan, Liang
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Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
Pan, Liang
Xu, Kun
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Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
Hong Kong Univ Sci & Technol, Shenzhen Res Inst, Shenzhen, Peoples R ChinaBeijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Beijing, Peoples R China
机构:
Univ Fed Rio Grande do Sul, PPGEC, 99 Osvaldo Aranha Ave,3rd Floor, BR-90035190 Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, PPGEC, 99 Osvaldo Aranha Ave,3rd Floor, BR-90035190 Porto Alegre, RS, Brazil
Linn, Renato V.
Awruch, Armando M.
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Univ Fed Rio Grande do Sul, PPGEC, 99 Osvaldo Aranha Ave,3rd Floor, BR-90035190 Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, PPGEC, 99 Osvaldo Aranha Ave,3rd Floor, BR-90035190 Porto Alegre, RS, Brazil