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dc.contributor.authorCanfield, J.
dc.contributor.authorDenissen, N.
dc.contributor.authorFrancois, M.
dc.contributor.authorGore, R.
dc.contributor.authorRauenzahn, R.
dc.contributor.authorReisner, J.
dc.contributor.authorShkoller, S.
dc.date.accessioned2022-02-04T23:01:48Z
dc.date.available2022-02-04T23:01:48Z
dc.date.copyright12/1/2020 12:00:00 AM
dc.date.issued2020
dc.identifier.issn0098-2202
dc.identifier.otherfe_142_12_121108.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275945
dc.description.abstractSophisticated numerical models that contain fluid interfaces rely upon interface evolution models to approximate the transition to turbulence near interfaces, in the presence of Rayleigh–Taylor (RTI) or Richtmyer–Meshkov (RMI) instability. Semi-analytical models have been developed in recent decades to predict the interface growth from an initial state into the nonlinear regime. Two of these models are considered in this study. They are the Goncharov and the z-models. Both of these interface models have strengths and weaknesses, which are examined here. Both of them have been implemented in the xRAGE compressible flow solver, which models fluid interfaces. The flow solver provides the fluids acceleration as a body force to the interface model. The purpose of such interface model is to evolve the early times of interface position as a subgrid model within a compressible flow simulation in order to then initialize a turbulence model. In this work, the interface models are assessed and compared for their evolution of RTI and RMI. The z-model performed better than the Goncharov model for all cases that were explored.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleA Comparison of Interface Growth Models Applied to Rayleigh–Taylor and Richtmyer–Meshkov Instabilities
dc.typeJournal Paper
dc.journal.volume142
dc.journal.issue12
dc.journal.titleJournal of Fluids Engineering
dc.identifier.doi10.1115/1.4048341
dc.journal.fristpage0121108-1
dc.journal.lastpage0121108-10
dc.page10
dc.treeJournal of Fluids Engineering:;2020:;volume( 142 ):;issue: 012
dc.contenttypeFulltext


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