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Optimisation of steel-composite connections for structural marine applications

机译:用于船舶结构的钢-复合材料连接的优化

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摘要

Parametric variation and optimisation using genetic algorithms employing single and multi-objective functions are proposed for the optimisation of a structural steel/composite connection. The joint in marine applications is the connection between the steel hull and the composite superstructure of a naval vessel. A baseline joint is defined and all parametric variations and optimised joints are compared to this. The parametric results provided design curves of the joint performance determined from the weight, Von Mises stress in the adhesive and the global stiffness indicating performance sensitivity to specific changes in the joint geometry. The results indicated that the parametric variations can lead to an improvement in the performance but high levels of human interaction are required to make a combined improvement to the performance. The use of genetic algorithms provided an efficient method of searching the design space for an optimal joint. The single objective function provides an excellent reduction in the weight and maintaining or improving the performance of the joint to in-plane compressive loading. The use of the multi-objective function whereby a weighting was applied to the weight, stress and stiffness performance criteria proved extremely successful in further optimising the joint. The use of genetic algorithms has been demonstrated to efficiently search the complex design space of a structural connection and the use of multi-objective functions as the most effective selection method.
机译:提出了使用遗传算法采用单目标和多目标函数进行参数变化和优化,以优化结构钢/复合材料连接的方法。船舶应用中的接头是钢壳与海军舰船的复合上部结构之间的连接。定义了基准关节,并将所有参数变化和优化的关节与此进行比较。参数结果提供了由重量,粘合剂中的冯·米塞斯应力和整体刚度确定的关节性能设计曲线,表明对关节几何形状的特定变化具有性能敏感性。结果表明,参数变化可以导致性能改善,但是需要高水平的人员交互才能对性能进行综合改善。遗传算法的使用提供了一种搜索设计空间以获得最佳关节的有效方法。单一目标函数可以极大地减轻重量,并保持或改善关节对平面内压缩载荷的性能。事实证明,使用多目标函数对权重,应力和刚度性能标准进行加权后,在进一步优化接头方面非常成功。遗传算法的使用已被证明可以有效地搜索结构连接的复杂设计空间,并将多目标函数用作最有效的选择方法。

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