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首页> 外文期刊>Computers & Fluids >A modified volume-of-fluid/hybrid Cartesian immersed boundary method for simulating free-surface undulation over moving topographies
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A modified volume-of-fluid/hybrid Cartesian immersed boundary method for simulating free-surface undulation over moving topographies

机译:一种改进的流体体积/混合笛卡尔浸入边界法,用于在移动地形上模拟自由表面波动

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摘要

An accurate numerical model, coupled with the modified volume-of-fluid method and the hybrid Cartesian immersed boundary method, has been developed to investigate the evolution of undulation of free surface influenced by moving topographies. The dynamic processes comprise topology changes of moving boundaries, at which the air-liquid interface and the solid-liquid interface are both involved. To accurately predict the topology changes along the air-liquid interface, a modified volume-of-fluid method is proposed. The resulting features of evolving surface wave and its possible amplitude amplification are mainly concerned. An optimal local advection scheme associated with the sub-grid resolution of interface tracking technique is developed in a semi-Lagrangian description. Additionally, the hybrid Cartesian immersed boundary method with bilinear interpolation enables to place solid bodies of arbitrary shape in fluid flows, while referring to the ease of mesh generation and its inherent simplicity to implement moving bodies on Cartesian grids. A second-order spatial accuracy is maintained as the two combined method is conducted. To show the accuracy and capability of the proposed model, a number of examples with increasing complexity of bottom boundary are well validated with the existing experimental data and numerical results. (C) 2018 Elsevier Ltd. All rights reserved.
机译:已经开发出一种精确的数值模型,与改性的流体体积方法和混合笛卡尔浸没边界法一起进行了发展,以研究通过移动地形影响的自由表面的波动的进化。动态过程包括移动边界的拓扑变化,其中空气液界面和固体界面都涉及。为了准确地预测沿着空气液体界面的拓扑变化,提出了一种改进的流体体积方法。产生的表面波的所得到的特征及其可能的幅度放大主要涉及。在半拉格朗日描述中开发了与接口跟踪技术的子网格分辨率相关的最佳局部平行计划。另外,具有双线性插值的混合笛卡尔浸没边界方法可以在流体流中放置任意形状的固体体,同时参考网格产生的容易性及其固有的简单性,以在笛卡尔栅格上实施移动体。将二阶空间精度保持,因为进行了两种组合方法。为了显示所提出的模型的准确性和能力,随着现有的实验数据和数值效果,较高的底部边界复杂度的许多示例很好地验证。 (c)2018年elestvier有限公司保留所有权利。

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