SPH high-performance computing simulations of rigid solids impacting the free-surface of water

SPH high-performance computing simulations of rigid solids impacting the free-surface of water
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DOI:
10.1080/00221686.2010.9641253
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发表时间:
2010-01
影响因子:
2.3
通讯作者:
P. Maruzewski;D. L. Touzé;G. Oger;F. Avellan
P. Maruzewski;D. L. Touzé;G. Oger;F. Avellan
中科院分区:
工程技术3区
文献类型:
--
作者:
P. Maruzewski;D. L. Touzé;G. Oger;F. Avellan

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采用法国巴黎中央南特大学开发的三维并行光滑粒子流体动力学(SPH)模型对入水过程进行了数值模拟。本文的目的是展示如何SPH模拟复杂的3D问题,涉及自由表面可以在超级计算机上执行,如IBM蓝色基因/L与8,192核心的联邦理工学院德洛桑。因此,本文提出了不同的技术,必须包括到SPH模型,使这种模拟成为可能。内存处理,特别是,是一个相当微妙的问题,因为由于使用可变h方案的约束。这些改进使得通过使用数千个核心计算涉及数亿个粒子的测试用例的模拟成为可能。这些并行计算的加速比和效率进行了研究。该模型的能力,说明在两个入水问题的文件,首先,在一个简单的测试情况下,涉及一个球体的自由表面在高速冲击;其次,在一个复杂的三维几何形状,涉及船舶船体的自由表面的强制运动。空间分辨率的敏感性进行了研究,以及在球体入水的情况下,通过比较实验和理论参考结果进行流量分析。
Numerical simulations of water entries based on a three-dimensional parallelized Smoothed Particle Hydrodynamics (SPH) model developed by Ecole Centrale Nantes are presented. The aim of the paper is to show how such SPH simulations of complex 3D problems involving a free surface can be performed on a super computer like the IBM Blue Gene/L with 8,192 cores of Ecole polytechnique fédérale de Lausanne. The present paper thus presents the different techniques which had to be included into the SPH model to make possible such simulations. Memory handling, in particular, is a quite subtle issue because of constraints due to the use of a variable-h scheme. These improvements made possible the simulation of test cases involving hundreds of million particles computed by using thousands of cores. Speedup and efficiency of these parallel calculations are studied. The model capabilities are illustrated in the paper for two water entry problems, firstly, on a simple test case involving a sphere impacting the free surface at high velocity; and secondly, on a complex 3D geometry involving a ship hull impacting the free surface in forced motion. Sensitivity to spatial resolution is investigated as well in the case of the sphere water entry, and the flow analysis is performed by comparing both experimental and theoretical reference results.