Surrogate-based Multidisciplinary Design Optimization of an Autonomous Underwater Vehicle Hull

被引：3

作者：

Chen, Xu ^{[1
]}

Wang, Peng ^{[1
]}

Zhang, Daiyu ^{[2
]}

机构：

[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China

[2] Jiangsu Univ Sci & Technol, Sch Naval Architecture & Engn, Zhenjiang 212003, Peoples R China

来源：

2017 16TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE (DCABES) | 2017年

基金：

中国国家自然科学基金;

关键词：

Multidisciplinary design optimization; Autonomous underwater vehicle; Computational fluid dynamics; Surrogate model;

D O I：

10.1109/DCABES.2017.48

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper performed multidisciplinary design optimization (MDO) of an AUV hull to minimize the energy consumption for sailing. The hull is decomposed into two disciplines and a multidisciplinary optimization problem is built. Multidisciplinary design feasible (MDF) architecture is adopted for optimization. A CFD-based analysis framework is proposed for resistance calculation of sample points in the hydrodynamics discipline and then a Kriging surrogate model is constructed. The optimal design of AUV hull is obtained and the computational cost is quite low with few high-fidelity CFD simulations.

引用

页码：191 / 194

页数：4

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