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Novel use of AMR Unstructured Grids in DSMC Compressible Flow Simulations

机译:AMR非结构化网格在DSMC可压缩流模拟中的新用途

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This work describes the step by step efforts taken in the development of a novel, octree based, highly scalable Direct Simulation Monte Carlo (DSMC) implementation to simulate hypersonic compressible flows at continuum-like conditions. Although an unstructured grid is used to capture high gradients in shock-dominated flows, the methodology is demonstrated to be on a par with a two-level Cartesian implementation, when careful algorith-mics are employed. Near ideal scalability is demonstrated on thousands of distributed CPU processors in a detailed study on domain decomposition to achieve a good load balance and efficient point-to-point communication. Emphasis is given to effective memory management techniques required to handle billions of computational particles and cells on peta-scale clusters. Finally, the capability of the code is demonstrated by applying it to simulate complex shock wave boundary layer interactions on a double wedge configuration at a near-continuum Knudsen number.
机译:这项工作描述了开发基于新颖的,基于八叉树的,高度可扩展的直接模拟蒙特卡洛(DSMC)实现的步骤,以模拟连续体状条件下的超音速可压缩流。尽管使用了非结构化网格来捕获冲击主导的流中的高梯度,但是当使用仔细的算法时,该方法已证明与两级笛卡尔实现是同等的。在对域分解的详细研究中,数千个分布式CPU处理器展示了近乎理想的可伸缩性,以实现良好的负载平衡和有效的点对点通信。重点介绍了在peta级集群上处理数十亿个计算粒子和单元所需的有效内存管理技术。最后,通过将其应用于在近似连续的Knudsen数的双楔形结构上模拟复杂的冲击波边界层相互作用,证明了该代码的功能。

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