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dc.contributor.authorMerzari, Elia
dc.contributor.authorCoppo Leite, Victor
dc.contributor.authorFang, Jun
dc.contributor.authorShaver, Dillon
dc.contributor.authorMin, Misun
dc.contributor.authorKerkemeier, Stefan
dc.contributor.authorFischer, Paul
dc.contributor.authorTomboulides, Ananias
dc.date.accessioned2024-04-24T22:23:04Z
dc.date.available2024-04-24T22:23:04Z
dc.date.copyright2/22/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn0098-2202
dc.identifier.otherfe_146_04_041105.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295119
dc.description.abstractDevelopment and application of the open-source GPU-based fluid-thermal simulation code, NekRS, are described. Time advancement is based on an efficient kth-order accurate timesplit formulation coupled with scalable iterative solvers. Spatial discretization is based on the high-order spectral element method (SEM), which affords the use of fast, low-memory, matrix-free operator evaluation. Recent developments include support for nonconforming meshes using overset grids and for GPU-based Lagrangian particle tracking. Results of large-eddy simulations of atmospheric boundary layers for wind-energy applications as well as extensive nuclear energy applications are presented.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleEnergy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method
dc.typeJournal Paper
dc.journal.volume146
dc.journal.issue4
dc.journal.titleJournal of Fluids Engineering
dc.identifier.doi10.1115/1.4064659
dc.journal.fristpage41105-1
dc.journal.lastpage41105-16
dc.page16
dc.treeJournal of Fluids Engineering:;2024:;volume( 146 ):;issue: 004
dc.contenttypeFulltext


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