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首页> 外文期刊>Journal of Computational Physics >An implicit boundary approach for viscous compressible high Reynolds flows using a hybrid remeshed particle hydrodynamics method
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An implicit boundary approach for viscous compressible high Reynolds flows using a hybrid remeshed particle hydrodynamics method

机译:使用混合倒置粒子流体动力学方法的粘性可压缩高雷诺斯的隐式边界方法

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摘要

We present an implicit boundary particle method with background mesh adaptation. We use a Brinkman penalisation to represent the boundary of the domain and a remeshed particle method to simulate viscous flow with high Reynolds numbers. A penalty term is added to the Navier-Stokes equations to impose the boundary conditions. The boundary conditions are enforced to a specific precision with no need to modify the numerical method or change the grid, achieving an implicit approach for flow around complex boundaries/geometries simulation. The main idea of the Brinkman penalisation method is to model the solid obstacle as a porous medium. The governing equations for the compressible fluid and penalised Navier-Stokes for the porous medium are solved simultaneously, without need for interface conditions. The accuracy of the method is tested for a number of benchmark problems starting with simple cases such as a periodic laminar flow in a channel (Poiseuille flow), to more complex problems such as the lid-driven cavity with high Reynolds numbers, the reflection and propagation of a compressible shock wave, and finally swirling flow in a model two-stroke diesel engine. The remeshed particle-mesh method coupled with Brinkman penalisation provides a good quality simulation and the results are in agreement with analytical or reference solutions. (C) 2019 Elsevier Inc. All rights reserved.
机译:我们提出了一种具有背景网格自适应的隐式边界粒子方法。我们使用Brinkman惩罚来代表域的边界和倒闭的粒子方法,以模拟具有高雷诺数的粘性流量。惩罚项被添加到Navier-Stokes方程中以强制边界条件。边界条件强制执行特定精度,无需修改数值方法或改变网格,实现对复杂边界/几何模拟的流动的隐式方法。 Brinkman惩罚方法的主要思想是将固体障碍物作为多孔介质模拟。对于多孔介质的可压缩流体和惩罚Navier-Stokes的控制方程同时解决,无需界面条件。测试该方法的准确性,从简单的情况下开始,例如诸如通道(Poiseuille Flow)中的周期性层流,以更复杂的问题,例如具有高雷诺数,反射和的盖子驱动腔的更复杂的问题可压缩冲击波的传播,以及最终在模型双行程柴油发动机中旋转流动。与Brinkman Conalisation耦合的倒闭的粒子网方法提供了良好的质量模拟,结果与分析或参考解决方案一致。 (c)2019 Elsevier Inc.保留所有权利。

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