Fluid-structure interaction analysis by coupled FE-SPH model based on a novel searching algorithm

被引：0

作者：

Hu, Dean ^{[1
,2
]}

Long, Ting ^{[1
]}

Xiao, Yihua ^{[3
]}

Han, Xu ^{[1
]}

Gu, Yuantong ^{[2
]}

机构：

[1] State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China

[2] School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia

[3] School of Mechanical and Electrical Engineering, East China Jiaotong University, Nanchang 330013, China

来源：

Computer Methods in Applied Mechanics and Engineering | 2014年 / 276卷

基金：

澳大利亚研究理事会; 中国国家自然科学基金;

关键词：

Computational efficiency - Fluid structure interaction - Computational mechanics - Hydrodynamics;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Fluid-Structure Interaction (FSI) problem is significant in science and engineering, which leads to challenges for computational mechanics. The coupled model of Finite Element and Smoothed Particle Hydrodynamics (FE-SPH) is a robust technique for simulation of FSI problems. However, two important steps of neighbor searching and contact searching in the coupled FE-SPH model are extremely time-consuming. Point-In-Box (PIB) searching algorithm has been developed by Swegle to improve the efficiency of searching. However, it has a shortcoming that efficiency of searching can be significantly affected by the distribution of points (nodes in FEM and particles in SPH). In this paper, in order to improve the efficiency of searching, a novel Striped-PIB (S-PIB) searching algorithm is proposed to overcome the shortcoming of PIB algorithm that caused by points distribution, and the two time-consuming steps of neighbor searching and contact searching are integrated into one searching step. The accuracy and efficiency of the newly developed searching algorithm is studied on by efficiency test and FSI problems. It has been found that the newly developed model can significantly improve the computational efficiency and it is believed to be a powerful tool for the FSI analysis. © 2014 Elsevier B.V.

引用

页码：266 / 286