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A distributed Lagrange multipliers based fictitious domain method for the numerical simulation of particulate flow and its parallel implementation

机译:基于分布式拉格朗日乘法器的虚拟域方法,用于微粒流的数值模拟及其并行实现

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The numerical simulation of particulate flow, such as mixtures of incompressible viscous fluids and thousands of rigid particles, is computational expensive and parallelism often appears as the only way towards large scale of simulations even we have a fast Navier-Stokcs solver. The method we advocate here combines distributed Lagrange multipliers based fictitious domain methods, which allows the use of fixed structured finite element grids on a simple shape auxiliary domain containing the actual one for the fluid flow computations, with time, discretizations by operator splitting to decouple the various computational difficulties associated to the simulation. This method offers an alternative to the ALE methods investigated in [1]-[6] and can be easily parallelized via OpenMP due to the use of uniform structured grids and no need to generate mesh at each time step right after finding the new position of the rigid particles. Numerical results of particulate flow obtained on a SUN SMP cluster are presented.
机译:颗粒流量的数值模拟,例如不可压缩粘性流体的混合物和数千个刚性颗粒,是计算昂贵的并且并行性通常看起来甚至是我们具有快速Navier-Stokcs求解器的大规模模拟的唯一方法。我们提倡的方法组合了基于分布式拉格朗日乘法器的虚拟域方法,这允许在简单的形状辅助域上使用固定的结构化有限元网格,其中包含用于流体流量计算的实际辅助域,随着时间的推移,运算符分离以将离散化分离为脱钩与模拟相关的各种计算困难。该方法提供了在[1] - [6]中研究的ALE方法的替代方法,并且由于使用均匀的结构电网,可以通过OpenMP轻松地扩散化,并且在找到新位置后,无需在每次步进时产生网状物刚性颗粒。提出了在SUN SMP集群上获得的微粒流的数值结果。

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