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

作　　者：Muhammad Imran Dong-yan Shi Li-li Tong Ahsan Elahi Hafiz Muhammad Waqas Muqeem Uddin 

机构地区：[1]College of Mechanical and Electrical Engineering Harbin Engineering University,Harbin 150001,China [2]College of Aerospace and Civil Engineering Harbin Engineering University,Harbin 150001,China [3]Pakhtunkhwa Energy Development Organization(PEDO),Khyber Pakhtunkhwa,Pakistan

出　　处：《Defence Technology（防务技术）》2021年第4期1190-1206,共17页Defence Technology

基　　金：This work is supported by the National Natural Science Foundation of China research grant“Study on the characteristic motion and load of bubbles near a solid boundary in shear flows”(51679056);Natural Science Foundation of Heilongjiang Province of China(E2016024).

摘　　要：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.

关 键 词：Multi-objective genetic algorithm Optimization Composite submersible pressure hull Thin shell Material failure Shell buckling 

分 类 号：U674.76[交通运输工程—船舶及航道工程] U661.4[交通运输工程—船舶与海洋工程]