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Design optimization of composite submerged cylindrical pressure hull using genetic algorithm and finite element analysis

机译:基于遗传算法和有限元分析的复合式水下圆柱耐压船体设计优化。

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摘要

The design of structures made of laminated composites greatly depends on the fiber orientation angle and the number of ply layers. In the present study design optimization of composite submerged pressure hull under 3 MPa hydrostatic pressure, which corresponds to 300 m depth, is carried out. The number of layers and orientation angles are optimized for layups [0(m)/90(n)/0(o)], [10(m)/-10(n)/90(o)/-10(p)/10(q)], [alpha(1m)/alpha(2n)], [alpha(1m)/alpha(2n)/alpha(3o)]and [alpha(1m)/alpha(2n)/alpha(3o)/alpha(4p)/alpha(5q)] using three unidirectional composite materials, Carbon/Epoxy, Glass/Epoxy, and Boron/Epoxy. The optimization process is carried out in ANSYS Workbench using a Genetic Algorithm. Minimizing the buoyancy factor is used as the objective function of the optimization. The constraints on the optimization process are Tsai-Wu and Tsai-Hill failure criteria and buckling strength factor. Optimization study is also conducted for one selected layup configuration using ABAQUS and ISIGHT. Additionally, a sensitivity analysis is also carried out to study the effect of various design parameters on the optimum design of composite submerged pressure hull.
机译:由层压复合材料制成的结构的设计在很大程度上取决于纤维的取向角和层数。在本研究中,进行了在3 MPa静水压力(对应于300 m深度)下的复合潜水压力船体的设计优化。优化层数[0(m)/ 90(n)/ 0(o)],[10(m)/-10(n)/ 90(o)/-10(p) / 10(q)],[alpha(1m)/ alpha(2n)],[alpha(1m)/ alpha(2n)/ alpha(3o)]和[alpha(1m)/ alpha(2n)/ alpha(3o) )/ alpha(4p)/ alpha(5q)]使用三种单向复合材料,碳/环氧,玻璃/环氧和硼/环氧。优化过程在ANSYS Workbench中使用遗传算法进行。将浮力系数最小化用作优化的目标函数。优化过程的约束是蔡-伍和蔡-希尔失效准则以及屈曲强度因子。还使用ABAQUS和ISIGHT对一种选定的铺层配置进行了优化研究。此外,还进行了敏感性分析,以研究各种设计参数对复合潜油船体优化设计的影响。

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