Numerical investigation of supersonic transverse jet interaction on CPU/GPU system
| Autor: | Hang Yu, Zhengyu Tian, Hua Li, Jianqi Lai |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Jet (fluid) Finite volume method Discretization Computer science Mechanical Engineering Applied Mathematics General Engineering Parallel algorithm Aerospace Engineering Upwind scheme 02 engineering and technology Industrial and Manufacturing Engineering Computational science Acceleration Transverse plane 020901 industrial engineering & automation Automotive Engineering Supersonic speed ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42 |
| ISSN: | 1806-3691 1678-5878 |
| DOI: | 10.1007/s40430-019-2160-6 |
| Popis: | The main purpose of this paper is to develop a double-precision parallel algorithm implemented on graphics processing units (GPUs) for quick and accurate numerical simulations of large-scale supersonic transverse jet interaction problems. The finite volume method based on structured grid is considered; the AUSM + UP upwind scheme and the explicit multistage Runge–Kutta method are used for spatial discretization and time discretization, respectively. The turbulent solution is solved by K–ω SST two-equation model. Numerical investigation is performed for a supersonic missile body. Numerical results show that performing calculations on GPU can accurately capture the complex wave structures and vortex structures in the supersonic transverse jet flowfield. For single-GPU implementation, parallel computing can achieve an acceleration ratio of 90 times or more, and four GPU parallel computing can achieve an acceleration ratio of 106–245 times. Thus, GPU parallel computing can achieve a large-scale and efficient solution to supersonic transverse jet interaction problems. |
| Databáze: | OpenAIRE |
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