Abstract:In order to prevent velocity, pressure, and temperature spikes at material discontinuities occurring when the interface-capturing schemes inconsistently simulate compressible multi-material flows(when the specific heats ratio is variable), various non-conservative or quasi-conservative numerical models have been proposed. However, designing a consistent numerical algorithm, especially using the high-order characteristic flux-split based finite-difference method (CFS-FDM),is still an open question. In this stud… Show more
“…Hence, the artificial diffusion introduced by interface-diffusion capturing methods should be alleviated as much as possible to sharpen the diffusion zones and to increase the resolution of complex structures along the material interface. Several numerical approaches have been developed to minimize the numerical smearing, which attempt to compress the interfaces [28][29][30][31], to sharpen the interfaces [32][33][34], as well as to adopt high-order numerical schemes [21,26,[35][36][37][38][39][40][41][42][43]. Most recent developments tend to apply high-order algorithms to increase the resolution of the diffusive material interfaces.…”
“…Hence, the artificial diffusion introduced by interface-diffusion capturing methods should be alleviated as much as possible to sharpen the diffusion zones and to increase the resolution of complex structures along the material interface. Several numerical approaches have been developed to minimize the numerical smearing, which attempt to compress the interfaces [28][29][30][31], to sharpen the interfaces [32][33][34], as well as to adopt high-order numerical schemes [21,26,[35][36][37][38][39][40][41][42][43]. Most recent developments tend to apply high-order algorithms to increase the resolution of the diffusive material interfaces.…”
“…We note that both the ghost fluid and interface tracking approaches are very robust in the 1-D case, but their multidimensional extensions are rather cumbersome. For several high-order WENO schemes for compressible multifluids, we refer the reader to [13,19,22,38,39].…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.