Elasto‐plasticity revisited: numerical analysis via reproducing kernel particle method and parametric quadratic programming
Elasto‐plasticity revisited: numerical analysis via reproducing kernel particle method and parametric quadratic programming
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DOI：
10.1002/nme.523
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发表时间：
2002-10
影响因子：
2.9
通讯作者：
K. Liew;Youcai Wu;G. Zou;T. Y. Ng
中科院分区：
文献类型：
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作者：
K. Liew;Youcai Wu;G. Zou;T. Y. Ng
为了简化弹塑性问题的求解过程，提出了一种基于弹塑性参数二次规划原理的再生核粒子算法。参数二次规划理论对于评估结构弹塑性行为的某些特征是有用和有效的，也可以用于数值迭代。通过算例说明了所提出模型的基本性质，以及用再生核质点方法耦合的参数二次规划公式的灵活性。版权所有©2002 John Wiley&Sons，Ltd.
Aiming to simplify the solution process of elasto‐plastic problems, this paper proposes a reproducing kernel particle algorithm based on principles of parametric quadratic programming for elasto‐plasticity. The parametric quadratic programming theory is useful and effective for the assessment of certain features of structural elasto‐plastic behaviour and can also be exploited for numerical iteration. Examples are presented to illustrate the essential aspects of the behaviour of the model proposed and the flexibility of the coupled parametric quadratic programming formulations with the reproducing kernel particle method. Copyright © 2002 John Wiley & Sons, Ltd.