4.7 Article

Overcoming excessive numerical dissipation in SPH modeling of water waves

期刊

COASTAL ENGINEERING
卷 170, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.coastaleng.2021.104018

关键词

WCSPH; Wave propagation; Coastal engineering; Kernel correction; Decay

向作者/读者索取更多资源

The proposed method based on kernel gradient correction effectively addresses the issue of excessive nonphysical energy dissipation in Smoothed Particle Hydrodynamics (SPH) when modeling free surface waves. By ensuring momentum conservation through the use of an averaged correction matrix, the drawbacks of kernel gradient corrections, such as instabilities, are overcome. Experimental results demonstrate advantages in both result quality and simulation time compared to approaches based on large smoothing factors.
Excessive nonphysical energy dissipation is a problem in Smoothed Particle Hydrodynamics (SPH) when modeling free surface waves, resulting in a significant decrease in wave amplitude within a few wavelengths for progressive waves. This dissipation poses a limitation to the physical scale of SPH applications involving water wave propagation. Some prior solutions to this wave decay problem rely on elaborate schemes, which require a complex, or non-straightforward, implementation. Other approaches demand large smoothing lengths that lead to longer simulation times and potential degradation of the results. In this work we present an approach based on a kernel gradient correction. Our scheme is fully 3D and solves the main known drawbacks of kernel gradient corrections, such as instabilities and lack of momentum conservation. The latter is ensured by adopting an averaged correction matrix, so as to conserve reciprocity during particle interactions. We test our model with a standing wave in a basin and a progressive wave train in a wave tank, and in both cases no nonphysical decay occurs. A comparison to an approach based on large smoothing factors shows advantages both in quality of the results and simulation time.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据