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Capturing expert knowledge of mesh refinement in numerical methods of impact analysis by means of genetic programming

机译:通过遗传编程,在冲击分析的数值方法中捕捉网格细化的专业知识

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摘要

The mesh refinement decisions of an experienced user of high-velocity impact numerical approximation finite differences computations are discovered as a set of comprehensible rules by means of Genetic Programming. These rules that could automatically trigger adaptive mesh refinement to mimic the expert user, detect mesh cells that require refinement by evolving a formula involving cell quantities such as material densities. Various cell variable combinations are investigated in order to identify the optimal ones for indicating mesh refinement. A high-velocity impact phenomena example of a tungsten ball that strikes a steel plate illustrates this methodology.
机译:通过遗传编程,将经验丰富的高速冲击数值近似有限差分计算用户的网格细化决策作为一组可理解的规则进行发现。这些规则可以自动触发自适应网格细化以模仿专家用户,并通过发展涉及像元数量(例如材料密度)的公式来检测需要细化的网格单元。为了确定指示网格细化的最佳单元变量组合,对各种单元变量组合进行了研究。钨球撞击钢板的高速冲击现象示例说明了该方法。

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