An adaptive finite volume approach is presented to accurately simulate shock-induced combustion phenomena in gases, particularly detonation waves. The method uses a Cartesian mesh that is dynamically adapted to embedded geometries and flow features by using regular refinement patches. The discretisation is a reliable linearised Riemann solver for thermally perfect gas mixtures: detailed kinetics are considered in an operator splitting approach. Besides easily reproducible ignition problems, the capabilities of the method and its parallel implementation are quantified and demonstrated for fully resolved triple point structure investigations of Chapman-Jouguet detonations in low-pressure hydrogen-oxygen-argon mixtures in two and three space dimensions. Published by Elsevier Ltd.
机构:
Science and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, MianyangScience and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, Mianyang
Chen W.-Q.
Liu Y.
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Science and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, MianyangScience and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, Mianyang
Liu Y.
Wang L.
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Science and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, MianyangScience and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, Mianyang
Wang L.
Xiao B.-G.
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Science and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, MianyangScience and Technology on Scramjet Laboratory, China Aerodynamics Research and Development Center, Mianyang
机构:Chinese Acad Sci, Acad Math & Syst Sci, LSEC, Beijing 100190, Peoples R China
Li, Bin
Yuan, Li
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Chinese Acad Sci, Acad Math & Syst Sci, LSEC, Beijing 100190, Peoples R China
Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, Beijing 100190, Peoples R ChinaChinese Acad Sci, Acad Math & Syst Sci, LSEC, Beijing 100190, Peoples R China