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COMPOSITE STRUCTURE DESIGN IN PASSENGER SHIP USING MULTI-OBJECTIVE OPTIMIZATION ALGORITHM

机译:使用多目标优化算法乘客复合结构设计

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In recent years, composite materials usage has increased in several industries because of light weight and high stiffness specifications. Despite these advantages, their design is especially challenging because free parameters of composite design, as fiber materials, number of plies, matrix and fiber directions cause a lot of work for designer to select appropriate combination in comparison with traditional material selection approach. Selected design parameters should provide light weight and high stiffness. Multi-Objective optimization (MOO) technique using evolutinary algorithm is used to select optimum design parameters as both design and optimization method in the same time. Finite element method (FEA) analysis is used to obtain high stiffness of composite structure against to external loads. Coupled solution of MOO and FEA submitted multiple optimum design parameters by providing high stiffness and light weight in composite structure design of passenger ship.
机译:近年来,由于重量轻,刚度规格,综合材料在若干行业中增加了多种行业。尽管有这些优势,但它们的设计尤其具有挑战性,因为复合设计的自由参数,作为纤维材料,矩阵和光纤方向导致设计师的大量工作,与传统的材料选择方法相比,选择适当的组合。选择的设计参数应提供轻量级和高刚度。使用进化算法的多目标优化(MOO)技术用于选择同时设计和优化方法的最佳设计参数。有限元法(FEA)分析用于获得对外载荷的复合结构的高刚度。 MOO和FEA的耦合解决方案通过在客船的复合结构设计中提供高刚度和重量轻,提交多个最佳设计参数。

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