水下无人系统学报2017，Vol.25Issue(3)：243-249,7.DOI:10.11993/j.issn.2096-3920.2017.03.005
基于Pareto最优的翼身融合水下滑翔机结构优化设计
Structure Optimization Design for Underwater Glider with Blended-Wing-Body Based on Pareto Optimal Solution
摘要
Abstract
Multi-objective optimization of underwater glider with blended-wing-body(BWB) is carried out in terms of the mass and deformation of structure by employing the non-dominated sorting genetic algorithm(NSGA-Ⅱ).The Maximum equivalent stress and bulking factor are taken as the constraint conditions.Parametric modeling of the BWB underwater glider structure is implemented using UG secondary development and finite element analysis is performed to obtain the structural performance of the underwater glider via the commercial computational structural mechanics soft ware ANSYS.Finally,the Pareto optimal solution set of this multi-objective optimization problem is obtained by several iterations,and the technique for ordering preferences by similarity to ideal solution(TOPSIS) is used to obtain some trade-off optimum design points from Pareto fronts.This optimization process may provide a reference for structure optimization design of BWB underwater glider.关键词
水下滑翔机/翼身融合/多目标优化Key words
underwater glider/blended-wing-body/multi-objective optimization分类
军事科技引用本文复制引用
何衍儒,宋保维,曹永辉..基于Pareto最优的翼身融合水下滑翔机结构优化设计[J].水下无人系统学报,2017,25(3):243-249,7.基金项目
国家自然科学基金资助项目(51375389). （51375389）
