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Crenellation patterns for fatigue crack retardation in fuselage panels optimized via genetic algorithm

机译:通过遗传算法优化的机身面板疲劳裂缝延迟的CrEnellation模式

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Crenellation is a promising technique to effectively improve the fatigue life of fuselage panels. It systematically varies the thickness of the fuselage skin at a constant structural weight. In the design of the crenellation patterns, the schemes of redistributing the skin material between different thickened and thinned regions can be innumerable. In order to select the optimum design from the huge searching space, a genetic algorithm was used in this study, which was coupled with FEM simulations used to predict the fatigue life of different crenellation designs. To accelerate the optimization process, a progressively refined searching approach and an old-individual-filtering technique were used. The suggested approach leads to both a reduced computational cost and improved solution quality.
机译:Crenellation是一种有希望的技术,可有效地改善机身面板的疲劳寿命。 它系统地在恒定的结构重量下系统地改变机身皮肤的厚度。 在裂扰模式的设计中,将皮肤材料重新分配在不同增厚和变薄区域之间的方案可以是无数的。 为了从庞大的搜索空间中选择最佳设计,本研究使用了一种遗传算法,其与用于预测不同裂扰设计的疲劳寿命的FEM模拟相结合。 为了加速优化过程,使用逐步精细的搜索方法和古代过滤技术。 建议的方法导致降低的计算成本和改善的解决方案质量。

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