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High performance computing for challenging problems in computational fluid dynamics

机译：高性能计算可解决计算流体动力学中的难题

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摘要

High Performance Computing (HPC) is necessary in the analysis of complex flows using Computational Fluid Dynamics (CFD) since it allows problems to be tackled within realistic time scales or it allows for new problems to be explored. In recent years, the exponential growth of computing performance was also combined with the increasing availability of large scale computing resources, for the benefit of the CFD research. In this paper, two challenging problems are presented using time-marching methods: the flow inside a cavity exposed to a high-speed flow and the flow around a helicopter landing on a ship. All flow cases presented here needed the use of supercomputing resources, such as the UK High-End Computing Tera-scale Resource (HECToR) or the JUROPA system at Juelich, Germany. The use of fine grids for the first case allowed for the details of the flow to be revealed at a level sufficient for engineering analysis. In addition, the fundamental mechanism of the interaction between pressure waves and shear layer along the cavity opening was revealed for the first time in computational results. To the knowledge of the authors, the second case of the helicopter ship landing has been attempted for the first time, and the results presented here help to show the benefits of HPC in this area of research.
机译：高性能计算（HPC）在使用计算流体力学（CFD）分析复杂流时是必需的，因为它允许在现实的时间范围内解决问题或探索新问题。近年来，为了使CFD研究受益，计算性能的指数增长也与大型计算资源的可用性不断增加相结合。在本文中，使用时间步长方法提出了两个具有挑战性的问题：暴露于高速流动的空腔内部的流动以及直升机降落在船上的周围的流动。此处介绍的所有流程案例都需要使用超级计算资源，例如英国高端计算万亿级资源（HECToR）或德国Juelich的JUROPA系统。在第一种情况下，使用细网格可以使流量的细节以足以进行工程分析的水平显示出来。此外，首次在计算结果中揭示了压力波与剪切层沿型腔开口相互作用的基本机理。据作者所知，第一次尝试了第二例直升机降落，并且此处显示的结果有助于显示HPC在此研究领域中的优势。

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