Filament capturing with the Multimaterial Moment-of-Fluid method
Filament capturing with the Multimaterial Moment-of-Fluid method
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DOI：
10.1016/j.jcp.2015.01.014
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发表时间：
2015-03
期刊：
影响因子：
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通讯作者：
Matthew Jemison;M. Sussman;M. Shashkov
中科院分区：
文献类型：
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作者：
Matthew Jemison;M. Sussman;M. Shashkov
在界面重建的背景下，提出了一种新的方法，用于捕获二维，薄，欠分辨的材料配置，被称为“细丝”。该技术使用分区程序来检测细胞的平流原像（指示细丝）中材料的断开区域，并利用多材料流体界面重构方法的现有功能来准确捕获欠分辨特征，同时精确地保存体积。自适应网格细化的细丝存在下的算法开发，使细化仅在细丝的尖端附近引入，其中的流体的重建误差仍然很大。与标准的流体动量法进行了比较。它表明，使用细丝捕获在给定的分辨率产生收益的准确性相比，引入一个额外的水平，网格细化，成本显着降低。
A novel method for capturing two-dimensional, thin, under-resolved material configurations, known as “filaments,” is presented in the context of interface reconstruction. This technique uses a partitioning procedure to detect disconnected regions of material in the advective preimage of a cell (indicative of a filament) and makes use of the existing functionality of the Multimaterial Moment-of-Fluid interface reconstruction method to accurately capture the under-resolved feature, while exactly conserving volume. An algorithm for Adaptive Mesh Refinement in the presence of filaments is developed so that refinement is introduced only near the tips of filaments and where the Moment-of-Fluid reconstruction error is still large. Comparison to the standard Moment-of-Fluid method is made. It is demonstrated that using filament capturing at a given resolution yields gains in accuracy comparable to introducing an additional level of mesh refinement at significantly lower cost.