Animating fluid sediment mixture in particle-laden flows

Animating fluid sediment mixture in particle-laden flows
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DOI:
10.1145/3197517.3201309
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发表时间:
2018-07
期刊:
ACM Transactions on Graphics (TOG)
影响因子:
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通讯作者:
Ming Gao;Andre Pradhana;Xuchen Han;Q. Guo;G. Kot;Eftychios Sifakis;Chenfanfu Jiang
Ming Gao;Andre Pradhana;Xuchen Han;Q. Guo;G. Kot;Eftychios Sifakis;Chenfanfu Jiang
中科院分区:
其他
文献类型:
--
作者:
Ming Gao;Andre Pradhana;Xuchen Han;Q. Guo;G. Kot;Eftychios Sifakis;Chenfanfu Jiang

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在本文中,我们提出了一种用于模拟含颗粒流的显式和半隐式混合物质点法。我们为局部平均纳维 - 斯托克斯方程开发了一个多重网格预条件流体求解器。它完全在一个半交错的标准物质点法网格上离散。沉积采用德鲁克 - 普拉格弹塑性流动法则建模,并通过一种新颖的颗粒密度估计方法进行了增强,该方法用于在连续体或离散点表示之间转换颗粒。流体和沉积物通过动量交换力双向耦合,这可以通过两个物质点法背景网格轻松求解。我们给出了各种结果以证明我们方法的有效性。
In this paper, we present a mixed explicit and semi-implicit Material Point Method for simulating particle-laden flows. We develop a Multigrid Preconditioned fluid solver for the Locally Averaged Navier Stokes equation. This is discretized purely on a semi-staggered standard MPM grid. Sedimentation is modeled with the Drucker-Prager elastoplasticity flow rule, enhanced by a novel particle density estimation method for converting particles between representations of either continuum or discrete points. Fluid and sediment are two-way coupled through a momentum exchange force that can be easily resolved with two MPM background grids. We present various results to demonstrate the efficacy of our method.