拉丁超立方体抽样
船体
克里金
水下
响应面法
海洋工程
航程(航空)
遗传算法
计算机科学
数学优化
工程类
算法
数学
航空航天工程
机器学习
地质学
统计
海洋学
蒙特卡罗方法
作者
Shuping Hou,Zejiang Zhang,Hongtai Lian,Xiaodong Xing,Haixia Gong,Xiujun Xu
出处
期刊:Brodogradnja
[Faculty of Mechanical Engineering and Naval Architecture]
日期:2022-07-01
卷期号:73 (3): 111-134
被引量:12
摘要
Small underwater vehicles have unique advantages in ocean exploration. The resistance and volume of a vehicle are key factors affecting its operation time underwater. This paper aims to develop an effective method to obtain the optimal hull shape of a small underwater vehicle using Kriging-based response surface method (RSM) and multi-objective optimization algorithm. Firstly, the hydrodynamic performance of a small underwater vehicle is numerically investigated using computational fluid dynamics (CFD) method and the value range of related design variables is determined. The mesh convergence is verified to ensure the accuracy of the calculation results. Then, by means of the Latin hypercube sampling (LHS) design of simulation, the Kriging-based RSM model is developed according to the relation between each design variable of the vehicle and the output parameters applied to the vehicle. Based on the Kriging-based RSM model, the optimal hull shape of the vehicle is determined by using Screening and MOGA. As results, the vehicle resistance reduces and volume increases obviously.
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