Simulation of high explosive explosion using adaptive material point method
Simulation of high explosive explosion using adaptive material point method
复制标题
采用自适应质点法模拟高能炸药爆炸
DOI：
10.3970/cmes.2009.039.101
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发表时间：
2009
影响因子：
2.4
通讯作者：
Zhang, Xiong
中科院分区：
文献类型：
--
作者：
Lian, Yanping;Zhou, Xu;Ma, Shang;Zhang, Xiong
Numerical simulation of high explosive explosion problems is a big challenge to traditional numerical methods because explosion usually involves ex- tremely large deformation and multi-material interaction of different phases. Re- centlydevelopedmeshfreemethodsshowmuchadvantagesovermesh-basedmethod for problems associated with very large deformation. Some of them have been successfully applied to impact and explosion problems, such as smoothed particle hydrodynamics (SPH). Similar to SPH, material point method (MPM) is an effi- cient meshfree particle method solving continuum problems. With combination of the advantages of Eulerian and Lagrangian methods, MPM is a promising numeri- cal tool for solving large deformation problems, such as high explosive detonation and consequent demolishment to the structures. A three dimensional MPM code, MPM3DPP, is developed by using C++ programming language. With adaptive particle splitting scheme proposed in this paper, MPM3DPP is capable of simulat- ing different explosion problems. Johnson-Cook material model is implemented in order to take strain rate effect and thermal softening effect into consideration. Mie- Gruneisen equation of state is used to treat volumetric response of metal under high pressure. Jones-Wilkins-Lee (JWL) equation of state is used for describing the ex- pansion process of detonation products. Artificial viscosity is added to pressure term to stabilize and capture the shock wave. The MPM3DPP code is validated by simulating TNT slab detonation and shock tube problem, and then is used to simulate different explosion problems including explosively driven flyer problem and shaped charge problem. The computational results are in good agreement with empirical formula and experimental results.
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影响因子：
5.1
作者：
S. Ma;Xiong Zhang;X. Qiu
通讯作者：
S. Ma;Xiong Zhang;X. Qiu
影响因子：
2.8
作者：
Liu, MB;Liu, GR;Lam, KY
通讯作者：
Lam, KY
影响因子：
2.9
作者：
Xiong Zhang;K. Sze;S. Ma
通讯作者：
Xiong Zhang;K. Sze;S. Ma
DOI：
10.1016/s0045-7825(99)00338-2
发表时间：
2000-07
影响因子：
7.2
作者：
S. Bardenhagen;J. Brackbill;D. Sulsky
通讯作者：
S. Bardenhagen;J. Brackbill;D. Sulsky
影响因子：
6.3
作者：
J. Brackbill;D. Kothe;H. Ruppel
通讯作者：
J. Brackbill;D. Kothe;H. Ruppel