| dc.contributor.author | Merzari, Elia | |
| dc.contributor.author | Coppo Leite, Victor | |
| dc.contributor.author | Fang, Jun | |
| dc.contributor.author | Shaver, Dillon | |
| dc.contributor.author | Min, Misun | |
| dc.contributor.author | Kerkemeier, Stefan | |
| dc.contributor.author | Fischer, Paul | |
| dc.contributor.author | Tomboulides, Ananias | |
| dc.date.accessioned | 2024-04-24T22:23:04Z | |
| dc.date.available | 2024-04-24T22:23:04Z | |
| dc.date.copyright | 2/22/2024 12:00:00 AM | |
| dc.date.issued | 2024 | |
| dc.identifier.issn | 0098-2202 | |
| dc.identifier.other | fe_146_04_041105.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4295119 | |
| dc.description.abstract | Development 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.publisher | The American Society of Mechanical Engineers (ASME) | |
| dc.title | Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method | |
| dc.type | Journal Paper | |
| dc.journal.volume | 146 | |
| dc.journal.issue | 4 | |
| dc.journal.title | Journal of Fluids Engineering | |
| dc.identifier.doi | 10.1115/1.4064659 | |
| dc.journal.fristpage | 41105-1 | |
| dc.journal.lastpage | 41105-16 | |
| dc.page | 16 | |
| dc.tree | Journal of Fluids Engineering:;2024:;volume( 146 ):;issue: 004 | |
| dc.contenttype | Fulltext | |