Multidisciplinary design optimization of a human occupied vehicle based on Bi-Level integrated system collaborative optimization

作者：Zhao Min^*; Cui Wei-cheng; Li Xiang

来源：China Ocean Engineering, 2015, 29(4): 599-610.

DOI：10.1007/s13344-015-0042-y

• Multidisciplinary Design Optimization (MDO)
• Human Occupied Vehicle (HOV)
• Bi-Level Integrated System Collaborative Optimization (BLISCO)
• general performance

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.

• 出版日期2015-6
• 单位上海交通大学; 上海海洋大学