FluidPlaying: Efficient Adaptive Simulation for Highly Dynamic Fluid

Sinuo Liu, Xiaojuan Ban, Sheng Li, Haokai Zeng, Xiaokun Wang, Yanrui Xu, Fei Zhu, Guoping Wang
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引用次数: 1

Abstract

We present FliudPlaying, a novel dynamic level-based spatially adaptive simulation method that can handle highly dynamic fluid efficiently. To capture the subtle detail of the fluid surface, the high-resolution simulation is performed not only at the free surface but also at those regions with high vorticity levels and velocity difference levels. To minimize the density error, an online optimization scheme is used when increasing the resolution by particle splitting. We also proposed a neighbor-based splash enhancement to compensate for the loss of dynamic details. Compared with the high-resolution simulation baseline, our method can achieve over 3× speedups while consuming only less than 10% computational resources. Furthermore, our method can make up for the loss of high-frequency details caused by the spatial adaptation, and provide more realistic dynamics in particle-based fluid simulation.
FluidPlaying:高动态流体的高效自适应仿真
我们提出了一种新的基于动态关卡的空间自适应仿真方法,可以有效地处理高动态流体。为了捕捉流体表面的细微细节,不仅在自由表面进行了高分辨率模拟,而且在高涡度水平和速度差水平的区域进行了高分辨率模拟。为了使密度误差最小化,采用粒子分裂提高分辨率时采用在线优化方案。我们还提出了一种基于邻居的飞溅增强来补偿动态细节的损失。与高分辨率模拟基线相比,我们的方法可以在消耗不到10%的计算资源的情况下实现超过3倍的加速。此外,该方法可以弥补由于空间适应而造成的高频细节的损失,为基于粒子的流体模拟提供更真实的动力学。
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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