Multidisciplinary Design Optimization of A Human Occupied Vehicle Based on Bi-Level Integrated System Collaborative Optimization

作     者：赵敏 崔维成 李翔 ZHAO Min;CUI Wei-cheng;LI Xiang

作者机构：School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Hadal Science and Technology Research Centre Shanghai Ocean University Nonlinear Analysis and Applied Mathematics Group King Abdulaziz University 

出 版 物：《China Ocean Engineering》 (中国海洋工程（英文版）)

年 卷 期：2015年第29卷第4期

页      面：599-610页

核心收录：

学科分类：081505[工学-港口、海岸及近海工程] 08[工学] 0815[工学-水利工程] 0824[工学-船舶与海洋工程] 0814[工学-土木工程] 082401[工学-船舶与海洋结构物设计制造] 

基　　金：financially supported by the National Natural Science Foundation of China(Grant No.51109132) the Specialized Research Fund for the Doctoral Program of Higher Education of China(Grant No.20110073120015) 

主　　题：Multidisciplinary Design Optimization (MDO) Human Occupied Vehicle (HOD Bi-Level Integrated SystemCollaborative Optimization (BLISCO) general performance 

摘      要：The design of Human Occupied Vehicle （HOV） is a typical multidisciplinary problem, but heavily dependent on the experience of naval architects at present engineering design. In order to relieve the experience dependence and improve the design, a new Multidisciplinary Design Optimization （MDO） method ＂Bi-Level Integrated System Collaborative Optimization （BLISCO）＂ is applied to the conceptual design of an HOV, which consists of hull module, resistance module, energy module, structure module, weight module, and the stability module. This design problem is defined by 21 design variables and 23 constraints, and its objective is to maximize the ratio of payload to weight. The results show that the general performance of the HOV can be greatly improved by BLISCO.