GARM-LS: A Gradient-Augmented Reference-Map Method for Level-Set Fluid Simulation

Xingqiao Li, Xingyu Ni, Bo Zhu, Bin Wang, Bao Chen
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Abstract

This paper presents a novel level-set method that combines gradient augmentation and reference mapping to enable high-fidelity interface tracking and surface tension flow simulation, preserving small-scale volumes and interface features comparable to the grid size. At the center of our approach is a novel reference-map algorithm to concurrently convect level-set values and gradients, both of which are crucial for reconstructing a dynamic surface exhibiting small-scale volumes. In addition, we develop a full pipeline for the new level-set scheme by incorporating a novel extrapolation algorithm and an enhanced reinitialization procedure into our reference-map method. We test our algorithm by simulating complex surface tension flow phenomena such as raindrop collision, merging, and splashing. We also showcase the efficacy of our approach by performing validation tests and comparing it to a broad range of existing level-set algorithms.
GARM-LS:用于液位集流体模拟的梯度增强参考图方法
本文提出了一种新的水平集方法,该方法结合了梯度增强和参考映射,以实现高保真界面跟踪和表面张力流动模拟,同时保留了与网格大小相当的小尺度体积和界面特征。我们的方法的核心是一种新的参考地图算法,可以同时转换水平集值和梯度,这两者对于重建具有小体积的动态表面至关重要。此外,我们通过将一种新的外推算法和增强的重新初始化过程纳入我们的参考映射方法,为新的水平集方案开发了一个完整的管道。我们通过模拟复杂的表面张力流现象(如雨滴碰撞、合并和飞溅)来测试我们的算法。我们还通过执行验证测试并将其与广泛的现有水平集算法进行比较来展示我们方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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