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A stable moving particle semi-implicit method with renormalized Laplacian model improved for incompressible free-surface flows

机译:重归一化的Laplacian模型的稳定运动粒子半隐式方法改进了不可压缩的自由面流

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We present a stable and accurate moving particle semi-implicit (MPS) for free-surface flows. For simulating free-surface flows, previous formulations using renormalized procedure is only applicable to interior particles. Poor accuracy of the free-surface particle in turn contaminate the overall solution accuracy. In this study, dummy particle is introduced to stabilize the renormalized Laplacian model on free surface and to enforce the free-surface condition. The proposed renormalized Laplacian model enables accurate pressure calculation for both internal and free-surface particles. Modification also includes a modified gradient model in which linear consistency is guaranteed and stability is enhanced by introducing dummy particle. The proposed MPS scheme provides a more accurate and stable simulation of incompressible free surface flows. Several two-dimensional numerical simulations are presented to demonstrate the enhanced performance of the proposed MPS method. (C) 2019 Elsevier B.V. All rights reserved.
机译:我们提出了一种稳定,准确的针对自由表面流的移动粒子半隐式(MPS)。为了模拟自由表面流动,使用重归一化程序的先前公式仅适用于内部粒子。自由表面颗粒的精度差又会污染整体溶液精度。在这项研究中,引入了虚拟粒子以使自由表面上的重新规范化的Laplacian模型稳定并增强自由表面条件。提出的重新归一化的拉普拉斯算子模型可以对内部和自由表面的粒子进行精确的压力计算。修改还包括修改后的梯度模型,其中通过引入虚拟粒子可以确保线性一致性并增强稳定性。所提出的MPS方案为不可压缩的自由表面流提供了更加准确和稳定的模拟。提出了几个二维数值模拟,以证明所提出的MPS方法的增强性能。 (C)2019 Elsevier B.V.保留所有权利。

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