Structural optimization of stiffener layout for stiffened plate using hybrid GA
Structural optimization of stiffener layout for stiffened plate using hybrid GA
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DOI：
10.1016/j.ijnaoe.2019.03.005
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发表时间：
2019-07
影响因子：
2.2
通讯作者：
Gerry Liston Putra;M. Kitamura;A. Takezawa
中科院分区：
文献类型：
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作者：
Gerry Liston Putra;M. Kitamura;A. Takezawa
当前造船行业的趋势是减轻船舶重量，以支持二氧化碳排放的减少。在本研究中，对用于建造大部分船体结构的加筋板进行了优化。在此基础上，提出了一种将遗传算法与后续优化方法相结合的混合遗传算法。设计变量包括加强筋的数量和类型、加强筋间距和板厚。加劲肋的数量和类型是离散的设计变量，使用遗传算法进行了优化。加筋板间距和板厚是由后续优化确定的连续设计变量。将板的变形分为整体位移和局部位移，从而实现了对最大位移的准确估计。优化结果表明，该混合遗传算法对所有设计变量都能有效地获得最优解。
The current trend in shipyard industry is to reduce the weight of ships to support the reduction of CO2emissions. In this study, the stiffened plate was optimized that is used for building most of the ship-structure. Further, this study proposed the hybrid Genetic Algorithm (GA) technique, which combines a genetic algorithm and subsequent optimization methods. The design variables included the number and type of stiffeners, stiffener spacing, and plate thickness. The number and type of stiffeners are discrete design variables that were optimized using the genetic algorithm. The stiffener spacing and plate thickness are continuous design variables that were determined by subsequent optimization. The plate deformation was classified into global and local displacement, resulting in accurate estimations of the maximum displacement. The optimization result showed that the proposed hybrid GA is effective for obtaining optimal solutions, for all the design variables.