An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length.

4区 计算机科学 Q1 Arts and Humanities Visual Computing for Industry, Biomedicine, and Art Pub Date : 2023-01-03 DOI:10.1186/s42492-022-00128-x
Min Li, Hongshu Li, Weiliang Meng, Jian Zhu, Gary Zhang
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Abstract

In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency.

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一种有效的变光滑长度非迭代光滑质点流体力学模拟方法。
在经典的光滑粒子流体力学(SPH)流体模拟方法中,拉格朗日粒子的光滑长度通常是恒定的。一个主要的缺点是缺乏适应性,这可能会影响流体区域(如飞溅和表面)的准确性。尝试使用可变平滑长度来解决这个问题。然而,现有的方法计算复杂且效率低下,因为平滑长度通常使用迭代优化计算。在此,我们提出了一种高效的变平滑长度非迭代SPH流体模拟方法(VSLSPH)。VSLSPH将平滑长度与密度变化相关联,自适应调整粒子的平滑长度,精度高,计算成本低,可以实现大时间步长。实验结果证明了VSLSPH方法在仿真精度和效率方面的优势。
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来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
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