A New Particle Generation Method for Arbitrary 2D Geometries in SPH Modeling
A New Particle Generation Method for Arbitrary 2D Geometries in SPH Modeling
复制标题
SPH 建模中任意二维几何形状的新粒子生成方法
DOI：
10.1142/s0219876217500232
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发表时间：
2017-04
影响因子：
1.7
通讯作者：
Yuantong Gu
中科院分区：
文献类型：
--
作者：
Yihua Xi;Huanghuang Dong;Haifei Zhan;Yuantong Gu
对于光滑粒子流体动力学（SPH），均匀的粒子分布对于保证计算的精度和稳定性是非常重要的，但对于复杂的几何形状，很难做到这一点。本文提出了一种新的粒子生成方法，用于生成任意二维几何形状的粒子。在该方法中，生成粒子所需的几何形状被正交划分成一系列的子域。在所得到的子域中，具有标准面积的大多数子域直接转化为粒子。其余的迭代网格划分成具有近似标准面积的单元，并根据这些单元放置粒子。该方法是基于Abaqus实现的。给出了粒子生成的实例，比较了各种粒子生成方法。结果表明，该方法在几何边界的逼近、颗粒分布的规则性和均匀性等方面均优于现有方法。通过几个物理问题考察了初始粒子分布对SPH解的影响。计算结果表明，该方法生成的粒子分布具有更好的精度和稳定性。
For smoothed particle hydrodynamics (SPH), homogeneous particle distribution is important to ensure the computational accuracy and stability, but it is hard to achieve this for complex geometries. In this paper, a new particle generation method is developed to generate particles for arbitrary 2D geometries. In the method, the geometry required for generating particles is orthogonally partitioned into a series of sub-domains. Among the resultant sub-domains, the most ones having standard area are directly converted into particles. The others are iteratively meshed into elements with nearly standard area and particles are placed according to these elements. The present method is implemented based on Abaqus. Examples of particle generation are given to compare various particle generation methods. It is found that the present method shows advantages over some existing methods in the approximation of geometric boundary as well as the regularity and homogeneity of particle distribution. Several physical problems are adopted to examine the influence of initial particle distribution on SPH solution. The calculated results show that particle distributions generated by the present method can lead to better accuracy and stability than those created by some existing methods.
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影响因子：
2.8
作者：
Liu, MB;Liu, GR;Lam, KY
通讯作者：
Lam, KY
DOI：
10.1016/j.cma.2014.04.001
发表时间：
2014-07
影响因子：
7.2
作者：
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通讯作者：
D. Hu;T. Long;Yihua Xiao;Xu Han;Yuantong T. Gu
影响因子：
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作者：
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通讯作者：
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DOI：
10.1016/s0045-7825(01)00254-7
发表时间：
2001-01-01
影响因子：
7.2
作者：
Gray, JP;Monaghan, JJ;Swift, RP
通讯作者：
Swift, RP
DOI：
10.1002/(sici)1097-0207(19980115)41:1
发表时间：
1998-01
影响因子：
2.9
作者：
S. Jun;Wing Kam Liu;T. Belytschko
通讯作者：
S. Jun;Wing Kam Liu;T. Belytschko