液体动画中的高频感知PIC/FLIP

R. Ando, R. Tsuruno
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引用次数: 2

摘要

我们提出了一个简单的扩展PIC/FLIP(Particle-in-Cell/Fluid-Implicit-Particle),用于使液体具有增强的行为,如推动或旋转(图1),我们称之为HFA/PIC/FLIP(高频感知PIC/FLIP)。作为一种基本方法,我们使用PIC/FLIP [Brackbill and Ruppel 1986]来计算粒子速度的近似低频部分和高频部分。低频速度完全投射到无散度上,高频场部分投射到无散度上,以实现逼真的液体动画。与Zhu和Bridson提出的PIC/FLIP相反[Zhu and Bridson 2005];我们的方法有利于“推动”或“卷曲”特征,而他们的方法将动量分散到有噪声的方向,从而导致色散。最近类似的方法已经用粗到细的网格[Lentine et al. 2010],我们直接用粒子进行细化。我们制作了几个液体动画片段,并与竞争对手进行了比较,以显示所提出算法的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-frequency aware PIC/FLIP in liquid animation
We present a simple extension to PIC/FLIP(Particle-in-Cell/Fluid-Implicit-Particle) for animating liquid with enhanced behaviors such as pushing or eddying (Figure 1), which we call HFA/PIC/FLIP (High-frequency aware PIC/FLIP). As a fundamental approach we use PIC/FLIP [Brackbill and Ruppel 1986] and compute approximate low-frequency part and high-frequency part of particles velocities. Low-frequency velocities are entirely projected onto divergence free and high-frequency field is partially projected onto divergence free to achieve realistic liquid animations. In contrast to the PIC/FLIP proposed by Zhu and Bridson [Zhu and Bridson 2005]; our approach facilitates "pushing" or "curly" features whereas their approach disperses the momentum towards noisy directions, resulting in dispersion. Recently similar approach has been done with coarse to fine mesh grid [Lentine et al. 2010], we refined directly with particles. We produced several footage of liquid animation and compared with competitive alternatives to show the benefits of the proposed algorithm.
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