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A hybrid algorithm of lattice Boltzmann method and finite difference-based lattice Boltzmann method for viscous flows

机译:一种晶格Boltzmann方法的混合算法和基于有限差分的粘性流动晶格Boltzmann方法

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In this paper, a hybrid algorithm of the lattice Boltzmann method (LBM) and the finite difference LBM (FDLBM) is proposed. The conventional LBM is known for its high computational efficiency, whereas the finite difference method can guarantee both the accuracy of the description of the complex geometry and the high resolution of the flow field by a local refined anisotropic body-fitted mesh. The hybrid algorithm of the LBM and FDLBM takes advantage of the merits of both the methods. Four benchmark flow problems are simulated to verify the hybrid algorithm, namely, the lid-driven cavity flow, the flow past a static circular cylinder, the flow past an impulsively started cylinder, and the flow past 2 cylinders in tandem configuration. Results from these simulations show that the hybrid method proposed in the present work works very well for viscous flows.
机译:本文提出了一种晶格Boltzmann方法(LBM)的混合算法和有限差异LBM(FDLBM)。 传统的LBM以其高的计算效率已知,而有限差分方法可以保证复杂几何形状的描述的准确性和通过局部精制各向异性体型网格的流场的高分辨率。 LBM和FDLBM的混合算法利用了这两种方法的优点。 模拟四个基准流程问题以验证混合算法,即盖子驱动的腔流量,流过静态圆柱的流动,流过冲动开始的汽缸,以及串联配置的流量过去2个气缸。 这些模拟的结果表明,本作工作中提出的混合方法非常适合粘性流量。

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