Multi-objective design optimization of composite submerged cylindrical pressure hull for minimum buoyancy factor and maximum buckling load capacity

This paper presents the design optimization of composite submersible cylindrical pressure hull subjected to 3 MPa hydrostatic pressure. The design optimization study is conducted for cross-ply layups [0(s)/90(t)/0(u)], [0(s)/90(t)/0(u)]s, [0(s)/90(t)]s and [90(s)/0(t)]s considering three uni-directional composites, i.e. Carbon/Epoxy, Glass/ Epoxy, and Boron/Epoxy. The optimization study is performed by coupling a Multi-Objective Genetic Algorithm (MOGA) and Analytical Analysis. Minimizing the buoyancy factor and maximizing the buckling load factor are considered as the objectives of the optimization study. The objectives of the optimization are achieved under constraints on the Tsai-Wu, Tsai-Hill and Maximum Stress composite failure criteria and on buckling load factor. To verify the optimization approach, optimization of one particular layup configuration is also conducted in ANSYS with the same objectives and constraints. (C) 2020 China Ordnance Society. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.

Automated summary

This paper presents the design optimization of a composite submersible cylindrical pressure hull under 3 MPa hydrostatic pressure. The study considers different composite materials and layups, using a Multi-Objective Genetic Algorithm and Analytical Analysis to achieve optimization objectives such as minimizing buoyancy factor and maximizing buckling load factor.