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Minimum-weight design of stiffened shell under hydrostatic pressure by genetic algorithm

机译:遗传算法在静水压力下加劲壳最小重量设计

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In this paper, optimization of cylindrical shells under external pressure to minimize its weight has been studied. Buckling equations are based on standard of ABS underwater vehicles. Dimension and type of circumferential stiffeners, and its distance from each other are assumed as variables of optimization problem. Considering the extent of these variables, genetic algorithms have been used for optimization. To study the effect of hydrostatic pressure on the shell and its fabrication according to the existing standards, geometrical and construction as well as stress and buckling constraints have been used in optimization algorithm and also penalty functions are applied to eliminate weak model. Finally, the best model which has the minimum weight considering the applied pressure has been presented.
机译:本文研究了在外部压力下优化圆柱壳以最小化其重量的方法。屈曲方程基于ABS水下航行器的标准。圆周加劲肋的尺寸和类型以及它们之间的距离被认为是优化问题的变量。考虑到这些变量的范围,遗传算法已用于优化。为了根据现有标准研究静水压力对壳体及其制造的影响,在优化算法中使用了几何和构造以及应力和屈曲约束,并使用罚函数消除了弱模型。最后,提出了考虑到施加压力的最小重量的最佳模型。

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