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Multi-Objective Optimization of Composite Elliptical Submersible Pressure Hull for Minimize the Buoyancy Factor and Maximize Buckling Load Capacity

机译:复合椭圆潜水压力壳的多目标优化,使浮力因子最小化,最大化屈曲负荷能力

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Due to the wide range of variables involved and sophisticated analysis techniques required, optimum structural design of composite submersible pressure hull is known to be a challenge for designers. The major challenge involved in the coupled design problem is to handle multiple conflicting objectives. The problem with its proper consideration through multi-objective optimization is studied in this paper. Minimize the buoyancy factor and maximize buckling load capacity of the submersible pressure hull under hydrostatic pressure is considered as the objective function to reach the operating depth equal to 6000m. Finite element analysis of composite elliptical submersible pressure hull is performed using ANSYS parametric design language (APDL). The constraints based on the failure strength of the hulls are considered. The fiber orientation angles and the thickness in each layer, the radii of the ellipse, the ring beams and the stringers dimensions are taken as design variables. Additionally, a sensitivity analysis is performed to study the influence of the design variables up on objectives and constraints functions. Results of this study provide a valuable reference for designers of composite underwater vehicles.
机译:由于所涉及的各种变量和所需的复杂分析技术,已知复合潜水压力船体的最佳结构设计是设计人员的挑战。耦合设计问题所涉及的主要挑战是处理多种冲突目标。本文研究了通过多目标优化进行了适当考虑的问题。最小化浮力因子,最大化潜水压力壳体在静水压压力下的屈曲负载能力被认为是达到6000m的操作深度的目标函数。使用ANSYS参数化设计语言(APDL)进行复合椭圆潜水压力壳的有限元分析。考虑了基于船体的故障强度的约束。每层的纤维取向角和厚度,椭圆形的半径,环形束和纵梁尺寸被视为设计变量。另外,进行敏感性分析以研究设计变量超出目标和约束功能的影响。该研究的结果为复合水下车辆的设计者提供了有价值的参考。

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