首页> 外文会议>ASME international mechanical engineering congress and exposition >THE CONVERGENCE AND ALGORITHM FACTORS ANALYSIS OF TOPOLOGY OPTIMIZATION FOR CRASHWORTHINESS BASED ON HYBRID CELLULAR AUTOMATA
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THE CONVERGENCE AND ALGORITHM FACTORS ANALYSIS OF TOPOLOGY OPTIMIZATION FOR CRASHWORTHINESS BASED ON HYBRID CELLULAR AUTOMATA

机译:基于混合细胞自动机的现金流拓扑优化的收敛性和算法因素分析

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Structural design for crashworthiness is a challenging area of research due to large plastic deformations and complex interactions among diverse components of the vehicle. A notable idea in topology optimization is the hybrid cellular automaton (HCA) method capable of topology synthesis for crashworthiness design. The HCA algorithm was inspired by the structural adaptation of bones to their ever changing mechanical environment. This methodology has been shown to be an effective topology synthesis tool. The objective of this investigation is to examine the convergence and algorithm factors analysis of topology optimization for crashworthiness based on hybrid cellular automata paradigm. The orthogonal test is also proposed to study the effects of the algorithm factors on the dependent variables of the structure with new optimized topology. To demonstrate the convergence properties influenced by factors of the HCA algorithm in dynamic problems, the HCA framework is developed to a methodology for crashworthiness, which combines transient, non-linear finite-element analysis and local control rules acting on cells, and some simple cantilevered beam examples are utilized.
机译:由于大的塑性变形和车辆各组成部分之间的复杂相互作用,用于防撞性的结构设计是一个具有挑战性的研究领域。拓扑优化中一个值得注意的想法是能够为防撞性设计进行拓扑合成的混合蜂窝自动机(HCA)方法。 HCA算法的灵感来自骨骼适应不断变化的机械环境的结构。该方法论已被证明是一种有效的拓扑综合工具。本研究的目的是研究基于混合细胞自动机范式的耐撞性拓扑优化的收敛性和算法因素分析。还提出了正交试验,以研究算法因素对具有新优化拓扑的结构因变量的影响。为了证明动态问题中受HCA算法因素影响的收敛特性,将HCA框架开发为一种具有耐撞性的方法,该方法结合了瞬态,非线性有限元分析和作用于单元格上的局部控制规则,以及一些简单的悬臂式利用梁的例子。

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