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Parallel Simulation of Compressible Fluid Dynamics Using Lattice Boltzmann Method

机译:格子Boltzmann方法并行模拟可压缩流体动力学

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The Lattice Boltzmann Method (LBM) has numerous computational advantages, such as the simplicity of programming, the ability to incorporate microscopic interactions, and the easy parallelization of algorithms. The traditional lattice Boltzmann model has a constraint of small roach number (the velocity of fluid must be less than 0.3 mach). This paper presents a novel lattice Boltzmann method to simulate compressible flows, Appling the model in computing the velocity of flows between 0.3 mach to 0.7 roach. The numerical experiments show that our algorithm is more numerical stable than traditional LBM methods when the Reynolds number is large. The parallel performance of this algorithm on workstation clusters is presented in the end.
机译:格子玻尔兹曼方法(LBM)具有许多计算优势,例如编程简单,合并微观相互作用的能力以及算法的轻松并行化。传统的格子Boltzmann模型具有小的蟑螂数约束(流体速度必须小于0.3马赫数)。本文提出了一种新颖的格子Boltzmann方法来模拟可压缩流,并将该模型应用于计算0.3马赫至0.7罗奇之间的流速度。数值实验表明,当雷诺数较大时,我们的算法比传统的LBM方法具有更高的数值稳定性。最后介绍了该算法在工作站集群上的并行性能。

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