Back to Search Start Over

A coupled FD-SPH method for shock-structure interaction and dynamic fracture propagation modeling.

Authors :
Chen, Jian-Yu
Feng, Dian-Lei
Peng, Chong
Ni, Rui-Chen
Wu, Yu-Xin
Li, Tao
Song, Xian-Zhao
Source :
Applied Mathematical Modelling. Oct2024, Vol. 134, p288-306. 19p.
Publication Year :
2024

Abstract

Shock wave propagation and their damage to solid structures, which involve complex multiphase and multiphysics phenomena, are difficult problems to address. In this paper, a three-dimensional graphics processing unit (GPU)-accelerated finite difference-smoothed particle hydrodynamics (FD-SPH) method was developed for the prediction of strongly compressible fluid flow and strong fluid-structure interactions. The conventional mesh-based finite difference method was used to simulate shock wave propagation, while the smoothed particle hydrodynamics method was employed to predict the dynamic behavior of solid materials. In addition, the immersed boundary method (IBM) was implemented in the GPU-accelerated FD-SPH solver for the boundary treatment of the interface between solid and fluid materials. Four numerical cases, namely shock-cylinder obstacle interaction, elastic panel deformation induced by shock wave propagation, the response of stainless steel tubes under internal blast loading, and the damage of blast loading on reinforced concrete slab, were conducted for verification of the GPU-accelerated FD-SPH solver. The numerical results were compared against the available experimental data, which shows that the GPU-accelerated FD-SPH solver is capable of capturing the shock wave propagation and its damage to structures very well. • A GPU accelerated coupled FD-SPH method is developed to solve strong fluid-structure interaction problems. • The immersed boundary method is used in the solver to impose boundary conditions on the fluid-structure interface. • The propagation of shock waves and its damage to the structure is well captured. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0307904X
Volume :
134
Database :
Academic Search Index
Journal :
Applied Mathematical Modelling
Publication Type :
Academic Journal
Accession number :
178682202
Full Text :
https://doi.org/10.1016/j.apm.2024.06.010