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dc.contributor.authorLo, M. -C.en_US
dc.contributor.authorSu, C. -C.en_US
dc.contributor.authorWu, J-Sen_US
dc.contributor.authorKuo, F. -A.en_US
dc.date.accessioned2014-12-08T15:36:40Z-
dc.date.available2014-12-08T15:36:40Z-
dc.date.issued2014-09-20en_US
dc.identifier.issn0045-7930en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.compfluid.2014.06.003en_US
dc.identifier.urihttp://hdl.handle.net/11536/25025-
dc.description.abstractThis study developed a parallel two-dimensional direct simulation Monte Carlo (DSMC) method using a cut-cell Cartesian grid for treating geometrically complex objects using a single graphics processing unit (GPU). Transient adaptive sub-cell (TAS) and variable time-step (VTS) approaches were implemented to reduce computation time without a loss in accuracy. The proposed method was validated using two benchmarks: 2D hypersonic flow of nitrogen over a ramp and 2D hypersonic flow of argon around a cylinder using various free-stream Knudsen numbers. We also detailed the influence of TAS and VTS on computational accuracy and efficiency. Our results demonstrate the efficacy of using TAS in combination with VTS in reducing computation times by more than 10x. Compared to the throughput of a single core Intel CPU, the proposed approach using a single GPU enables a 13-35x increase in speed, which varies according to the size of the problem and type of GPU used in the simulation. Finally, the transition from regular reflection to Mach reflection for supersonic flow through a channel was simulated to demonstrate the efficacy of the proposed approach in reproducing flow fields in challenging problems. (C) 2014 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectDSMCen_US
dc.subjectGPUen_US
dc.subjectCut-cellen_US
dc.subjectVariable time-stepen_US
dc.subjectTransient adaptive sub-cellen_US
dc.titleDevelopment of parallel direct simulation Monte Carlo method using a cut-cell Cartesian grid on a single graphics processoren_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.compfluid.2014.06.003en_US
dc.identifier.journalCOMPUTERS & FLUIDSen_US
dc.citation.volume101en_US
dc.citation.issueen_US
dc.citation.spage114en_US
dc.citation.epage125en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000340851500009-
dc.citation.woscount1-
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