摘要
针对传统可靠性优化方法不能同时保证大型船舶结构计算效率与精度的问题,在船舶结构优化设计中考虑设计变量的不确定性,通过迭代均值组合(ER)近似模型和粒子群算法(PSO)提高序贯优化与可靠性评估(SORA)法的计算效率和精度,建立了改进的可靠性优化设计流程并解决了多用途船舱段的可靠性优化问题.其中:SORA法将可靠性分析与优化过程解耦,并提高了可靠性优化效率;PSO保证了SORA法优化所获全局最优解的计算效率;ER近似模型能够以最少的采样点建立满足精度要求的近似模型,并代替最有可能的失效点(MPP)和优化过程中耗时的有限元计算.多用途船舱段的可靠性优化结果表明:可靠性优化相较于确定性优化更有实际意义;改进的可靠性优化设计流程在保证计算精度的同时能够显著降低计算成本.
Aimed at the problem that traditional reliability-based optimization has poor efficiency for the huge ship finite element model,a new process is presented to improve efficiency and accuracy by synthesizing ensemble of surrogates with recursive arithmetic average（ER）and particle swarm optimization（PSO）into sequential optimization and reliability assessment（SORA）.The uncertainty of variables is considered.The improved process is applied to the problem of reliability-based optimization of a multi-purpose ship.SORA method decouples the process of reliability assessment and optimization and improves the efficiency of reliability-based optimization.PSO method guarantees the efficiency of calculating global optimal solution in the SORA.ER surrogate uses the minimal sampling points to establish a surrogate to meet with the accuracy requirement.Therefore,Kriging,RBF and SVR surrogates are combined to construct the ER surrogate which substitutes for time-consuming process of calculating the most probable point（MPP）and optimization of SORA based on finite element model.The optimization results of the multi-purpose ship show that reliability-based design optimization is more meaningful than deterministic optimization in practice.The improved process guarantees the high accuracy of solutions and significantly reduces the computational cost.
作者
胡新明
王德禹
HU Xinming WANG Deyu(State Key Laboratory of Ocean Engineering~ Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University, Shanghai 200240, Chin)
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2017年第2期150-156,共7页
Journal of Shanghai Jiaotong University
基金
教育部重大专项基金项目(201335)资助
关键词
船舶结构
迭代均值组合近似模型
序贯优化与可靠性评估
粒子群算法
可靠性优化
ship structures
ensemble of surrogates with recursive arithmetic average（ER）
sequential optimization and reliability assessment（SORA）
particle swarm optimization（PSO）
reliability-based design optimization
作者简介
胡新明（1992-），男，吉林省辽源市人，硕士生，主要研究方向为船舶结构振动与优化．
王德禹（联系人），男，教授，博士生导师，电话（Tel-）：021-62933131；E-mail：dywang@sjtu．edu．cn．
