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首页> 外文期刊>The Archive of Mechanical Engineering >A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components
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A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components

机译:具有刚性和柔性部件的流体固体相互作用问题的高性能计算方法

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This work outlines a unified multi-threaded, multi-scale High Performance Computing (HPC) approach for the direct numerical simulation of Fluid-Solid Interaction (FSI) problems. The simulation algorithm relies on the extended Smoothed Particle Hydrodynamics (XSPH) method, which approaches the fluid flow in a La-grangian framework consistent with the Lagrangian tracking of the solid phase. A general 3D rigid body dynamics and an Absolute Nodal Coordinate Formulation (ANCF) are implemented to model rigid and flexible multibody dynamics. The two-way coupling of the fluid and solid phases is supported through use of Boundary Condition Enforcing (BCE) markers that capture the fluid-solid coupling forces by enforcing a no-slip boundary condition. The solid-solid short range interaction, which has a crucial impact on the small-scale behavior of fluid-solid mixtures, is resolved via a lubrication force model. The collective system states are integrated in time using an explicit, multi-rate scheme. To alleviate the heavy computational load, the overall algorithm leverages parallel computing on Graphics Processing Unit (GPU) cards. Performance and scaling analysis are provided for simulations scenarios involving one or multiple phases with up to tens of thousands of solid objects. The software implementation of the approach, called Chrono:Fluid, is part of the Chrono project and available as an open-source software.
机译:这项工作概述了统一的多线程,多尺度高性能计算(HPC)方法,用于流体固体相互作用(FSI)问题的直接数值模拟。仿真算法依赖于扩展平滑粒子流体动力学(XSPH)方法,其与LaGrangian跟踪的La-Grangian框架中的流体流动接近固相。将一般的3D刚体动力学和绝对节点坐标配方(ANCF)实施以模拟刚性和柔性多体动力学。通过使用边界条件强制性(BCE)标记来支持流体和固相的双向耦合,该标记通过实施防滑边界条件来捕获流体固体耦合力。通过润滑力模型解决对流体固体混合物的小规模行为至关重要的固体短距离相互作用。集体系统状态正在使用明确的多速率方案与时间相结合。为了减轻重型计算负荷,整个算法利用平行计算图形处理单元(GPU)卡。为涉及一个或多个阶段的模拟方案提供了性能和缩放分析,其具有高达成千上万的固体物体的一个或多个阶段。该方法的软件实现称为Chrono:Fluid,是Chrono项目的一部分,可用作开源软件。

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