期刊
JOURNAL OF COMPUTATIONAL SCIENCE
卷 26, 期 -, 页码 217-225出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jocs.2018.01.008
关键词
High performance computing; Compressible multicomponent flow; Shock-capturing methods; Shock-induced bubble collapse; Cloud collapse
资金
- DOE Office of Science User Facility [DE-AC02-06CH11357]
- European Research Council Advanced Investigator Award [341117]
- Swiss National Supercomputing Centre (CSCS) [s500, s754]
We demonstrate a high throughput software for the efficient simulation of compressible multicomponent flow on high performance computing platforms. The discrete problem is represented on structured three-dimensional grids with non-uniform resolution. Discontinuous flow features are captured using a diffuse interface method. A distinguishing characteristic of the method is the proper treatment of the interface zone as a mixing region of liquid and gas. The governing equations are discretized by a Godunov-type finite volume method with explicit time stepping using a low-storage Runge-Kutta scheme. The presented flow solver Cubism-MPCF is based on our Cubism library which enables a highly optimized framework for the efficient treatment of stencil based problems on multicore architectures. The framework is general and not limited to applications in fluid dynamics. We validate our solver by classical benchmark examples. Furthermore, we examine a highly-resolved shock-induced bubble collapse and a cloud of O(10(3)) collapsing bubbles, which demonstrate the high potential of the proposed framework and solver. (C) 2018 Elsevier B.V. All rights reserved.
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