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面向SPH流体的高效各向异性表面重构算法

Effective Reconstructing Surfaces Algorithm of Anisotropic Kernels Orienting SPH Fluids

  • 摘要: 为了在流体模拟中构造更加平整光滑的表面以及提升重构的效率,本文面向基于粒子的流体模拟,提出一种高效的表面重构方法.首先对传统各向异性核函数的构造进行简化;然后根据对粒子特征向量的分析对粒子进行分类,即分为近表面粒子和内部粒子;最后在表面重构计算时将近表面粒子参与计算,而内部粒子则根据邻居粒子数量直接对颜色场进行赋值.实验结果表明,本文方法保证了重构流体表面的平滑性和几何特征;相对于已有方法,该方法简单易实现,且较大地提升了运算效率.

     

    Abstract: In order to construct smoother surfaces and improve the efficiency of reconstruction in fluid simulation, an efficient surface reconstruction method for particle-based fluid simulation is proposed in this paper. First, we modify the traditional anisotropic kernel function; Second, we divide particles into external particles and internal particles according to the analysis of particle’s eigenvectors; Finally, we integrate the external particles to the calculation of surface reconstruction and directly assign value to the color field according to neighbor particles’ numbers for internal particles. Experimental results show that this approach ensures smoothness and geometric characteristics of the reconstructed fluid surfaces. Compared to existing methods, this approach is simple and easy to implement and greatly improve the computational efficiency.

     

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