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Coupled lattice Boltzmann and discrete element modelling of fluid-particle interaction problems

机译:流固耦合问题的格子Boltzmann和离散元耦合模型

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Particle-fluid systems encountered in many scientific and engineering applications impose a significant modelling challenge. This paper outlines a new solution strategy that couples lattice Boltzmann (LB), large eddy simulation (LES), and discrete element (DE) methodologies for the simulation of particle-fluid systems at moderately high Reynolds numbers. The following main computational issues are considered: (1) the use of the standard LB formulation for the solution of fluid flows; (2) the incorporation of the one-parameter Smagorinski turbulence model in the LB equations for turbulent flows; (3) the utilisation of one immersed boundary scheme for computing hydrodynamic interaction forces between the fluid and moving particles; and (4) the use of DE methods accounting for the interaction between solid particles. The new contributions made in the current work include the application of the Smagorinski turbulence model to moving particles and the proposal of a subcycling time integration scheme for the DE modelling in order to ensure an overall stable LB-DE solution. A complex transport problem involving 70 large moving particles with moderately high Reynolds number (around 56,000) is provided to demonstrate the capability of the presented coupling strategy.
机译:在许多科学和工程应用中遇到的粒子流体系统都给建模带来了巨大挑战。本文概述了一种新的解决方案策略,该方法结合了格子Boltzmann(LB),大涡模拟(LES)和离散元素(DE)方法,用于中等中等雷诺数的粒子-流体系统的仿真。考虑了以下主要计算问题:(1)使用标准LB公式求解流体流动; (2)将单参数Smagorinski湍流模型纳入湍流LB方程中; (3)利用一种沉浸边界方案计算流体与运动颗粒之间的流体动力相互作用力; (4)使用DE方法解释固体颗粒之间的相互作用。当前工作中所做的新贡献包括将Smagorinski湍流模型应用于运动的粒子以及为DE建模提供子循环时间积分方案的建议,以确保整体稳定的LB-DE解决方案。提供了一个复杂的运输问题,涉及70个雷诺数适中(约56,000)的大运动粒子,以证明所提出的耦合策略的能力。

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