Computational simulations of the dynamic compaction of porous media

被引:23
|
作者
Borg, J. P. [1 ]
Cogar, J. R.
Lloyd, A.
Ward, A.
Chapman, D.
Tsembelis, K.
Proud, W. G.
机构
[1] Marquette Univ, Dept Mech Engn, Milwaukee, WI 53233 USA
[2] CORVID Technol, Mooresville, NC 28117 USA
[3] Univ Cambridge, Cavendish Lab, Cambridge CB3 0HE, England
关键词
dynamic compaction; porous compaction; porous material modeling; granular material; silica;
D O I
10.1016/j.ijimpeng.2006.09.045
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The goal of this study was to apply and compare different computational compaction models to the dynamic compaction of porous silicon dioxide (SiO2) Powder. Three initial specific volumes were investigated in this study, V-00 = 1.3, 4 and 10 cm(3)/g, where the solid material specific volume is V-o = 0.4545 cm(3)/g. Two hydrodynamic codes, KO and CTH, were used to simulate the experimental results. Two compaction models, P-alpha and P-lambda were implemented within CTH in conjunction with the Mie-Gruneisen (MG) equation of state. The snowplow (SP) compaction model was implemented within KO. In addition, the MG equation of state based on the experimentally measured Hugoniot was implemented within CTH and was compared to the data as well. One-dimensional flyer plate experiments were conducted with impact velocities ranging from 0.25 to 1.0 km/s, which corresponded to a shock incident pressure range of 0.77-2.25 GPa. The computational simulations were compared to the temporal lateral stress signatures measured with manganin gauges, placed before and after the silica powder. It was found that the MG equation of state (EOS) most accurately reproduce all of the experimental data whereas none of the compaction models accurately reproduced all of the experimental data. However, of the compaction models investigated that the P-a model tended to outperform the other considered. (C) 2006 Published by Elsevier Ltd.
引用
收藏
页码:109 / 118
页数:10
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