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Post-buckling analysis of planar elastica using a hybrid numerical strategy

机译:使用混合数值策略的平面弹性的后屈曲分析

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摘要

Many structural mechanics problems, such as post-buckling of elastica, involve determining multi-equilibrium states of a nonlinear system. Typically, the stable equilibrium states are found by searching for minima of the potential energy function subjected to some constraints. In this paper, the method of genetic algorithm combined with the quasi-Newton method is applied to search for the multiple minima of the strain energy of various elastica problems. The proposed hybrid methodology is relatively straightforward to implement and is adopted to study post-buckling behaviour of planar elastica modelled as multi-link systems for various boundary conditions and sidewall constraints.
机译:许多结构力学问题,例如弹性体的后屈曲,都涉及确定非线性系统的多平衡态。通常,通过搜索受到某些约束的势能函数的最小值来找到稳定的平衡状态。本文采用遗传算法与拟牛顿法相结合的方法,求解各种弹性问题的应变能的多重极小值。所提出的混合方法相对容易实现,并被用来研究平面弹性体的屈曲后行为,该弹性模型被建模为针对各种边界条件和侧壁约束的多连杆系统。

著录项

  • 来源
    《Computers & Structures》 |2010年第12期|p.785-795|共11页
  • 作者

    T.Y. Wang; C.G. Koh; C.Y. Liaw;

  • 作者单位

    Department of Civil Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore;

    Department of Civil Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore;

    Department of Civil Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    elastica; post-buckling; genetic algorithm; quasi-Newton method; constrained-optimization;

    机译:弹性后屈曲遗传算法拟牛顿法约束优化;

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