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A genetic algorithm applied to optimisation of patch repairs for cracked plates

机译：遗传算法用于裂纹板修补修复的优化

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The problem of the optimal shape of patch repairs for cracked plates is here examined by applying a biology-based method, known as the genetic algorithm. The optimum design procedure consists in evaluating the patch topology which maximises or minimises some mechanical properties of the repaired plate while keeping constant the total patched area (constrained optimisation problem). In the present paper, the best patch shape is determined by minimising the stress-intensity factor function (which is the adopted objective function). The proposed procedure is implemented in a finite element code, and some numerical simulations are carried out in order to assess the reliability of the method when applied to the case of a cracked plate under Mode Ⅰ. For some configurations analysed, the stress-intensity factor can significantly be reduced by employing an optimal shape patch instead of a simple shape (square or rectangular) patch.
机译：在这里，裂痕修补的最佳形状问题是通过应用基于生物学的方法（称为遗传算法）来研究的。最佳设计程序包括评估修补拓扑，该拓扑可最大化或最小化修复板的某些机械性能，同时保持总修补面积不变（受约束的优化问题）。在本文中，通过最小化应力强度因子函数（采用的目标函数）来确定最佳补丁形状。所提出的程序是用有限元代码实现的，并进行了一些数值模拟，以评估该方法在模式Ⅰ下应用于开裂板情况下的可靠性。对于某些已分析的配置，可以通过采用最佳形状的补丁而不是简单的形状（正方形或矩形）的补丁来显着降低应力强度因子。

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