使用无发散SPH的小尺度表面细节模拟

Q3 Computer Science
Xiaokun Wang , Xiaojuan Ban , Sinuo Liu , Runzi He , Yuting Xu
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引用次数: 2

摘要

为了真实有效地捕捉流体表面的微观特征,我们提出了一种创建小尺度表面细节的新方法。在本文中,我们引入了一个表面张力和粘附模型来模拟表面细节,该模型细化了内聚项和面积最小化项。它修改了表面张力和附着力的计算,并扩大了内聚力的支撑长度,使表面细节的微观特征更加明显。此外,我们将该模型与同时满足恒定密度条件和无发散条件的无发散SPH方法相结合。实验结果表明,该方法能够很好地模拟各种场景下流体表面的小尺度细节,同时提高了计算的稳定性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small-scale surface details simulation using divergence-free SPH

To realistic and efficient capture microscopic features of fluid surface, we proposed a novel method for creating small-scale surface details. In this paper, we introduced a surface tension and adhesion model to simulate surface details, which refined the cohesion term and area minimization term. It modified the calculation of surface tension and adhesion and enlarged the support length for cohesion, which makes the microscopic characteristics of surface details more visible. In addition, we integrated this model with a Divergence-free SPH method which fulfills constant density condition and divergence-free condition simultaneously. The experimental results show that our method can well simulate small-scale details of fluid surface in various scenarios meanwhile improves the computational stability and efficiency.

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来源期刊
Journal of Visual Languages and Computing
Journal of Visual Languages and Computing 工程技术-计算机:软件工程
CiteScore
1.62
自引率
0.00%
发文量
0
审稿时长
26.8 weeks
期刊介绍: The Journal of Visual Languages and Computing is a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of visual languages and its implication to the art of computing. The journal publishes research papers, state-of-the-art surveys, and review articles in all aspects of visual languages.
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