文章基本信息

标题：Material Point Method (MPM) Analysis of Hydrodynamic Impact Problems Involving Embedded Solids
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作者：Krishnendu Shekhar ; Wen-Chia Yang ; Pedro Arduino 等
期刊名称：Mecánica Computacional
印刷版ISSN：2591-3522
出版年度：2016
卷号：34
期号：4
页码：75-88
语种：English
出版社：CIMEC-INTEC-CONICET-UNL
其他摘要：Impact of debris carried by ﬂoods or tsunamis can cause severe damage to bridges, though they are not well studied in the literature. The Material Point Method (MPM) provides a framework for modeling such systems involving combined ﬂuid/solid behavior with complex interactions. Conventional MPM uses regular grids with tri-linear interpolation. However, linear functions introduce volumetric locking for (nearly) incompressible materials, posing problems when modeling ﬂuids. To eliminate locking, nodebased, cellbased and hybrid formulations were adapted by Mast et al., J. Comp. Phys., Vol. 231, pp 5351–5373, (2012). In this paper we propose a new numerical ﬂux smoothing algorithm to produce smooth stress ﬁelds in complex hydrodynamic problems while ensuring numerical stability. The goal is not only to produce strain and stress ﬁelds free of locking, but also to stabilize high frequency numeric oscillation. The improved algorithms are applied to ﬂuid driven debris impact problems, and validated against experimental results. Emphasis is in given to evaluating demands on bridge superstructures by tsunami driven debris.