多相流体的各向异性表面重构

Xiaokun Wang, X. Ban, Yalan Zhang, Zhigeng Pan, Sinuo Liu
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引用次数: 5

摘要

在基于粒子的框架下,一般定义了流体表面的水平集,并将其与行进立方算法相结合进行流体表面的提取。在这些方法中,各向异性核法被证明是高质量重建流体表面的成功方法。与其他方法相比,它可以完美地表现流体的光滑表面、细流和尖锐特征。在本文中,我们提出了一种新的方法将其扩展到多相流体的模拟中。为了保证流体表面和多相界面的良好效果,我们修改了原始各向异性核的计算,并采用二叉树策略进行重建。该方法可以简单有效地提取流体表面,用于基于颗粒的多相模拟。它解决了传统方法中存在的多相界面重叠和间隙问题。实验结果表明,该方法保持了良好的流体表面和界面效果。
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Anisotropic Surface Reconstruction for Multiphase Fluids
Under particle-based framework, level set is generally defined for fluid surfaces and is integrated with marching cubes algorithm to extract fluid surfaces. In these methods, anisotropic kernels method has proven successful for reconstructing fluid surfaces with high quality. It can perfectly represent smooth surfaces, thin stream and sharp features of fluids compare to other methods. In this paper, we propose a novel approach to extend it to the simulation of multiphase fluids simulation. In order to ensure fine effects for both fluid surface and multiphase interface, we modify the calculation of original anisotropic kernels and address a binary tree strategy for reconstruction. Our method can extract fluid surfaces simply and effectively for particle-based multiphase simulation. It solved the problem of overlaps and gaps at multiphase interface that exist in traditional methods. The experimental results demonstrate that our method keep a good fluid surface and interface effects.
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