HULL SHAPE OPTIMIZATION OF SMALL UNDERWATER VEHICLEBASED ON KRIGING-BASED RESPONSE SURFACE METHOD ANDMULTI-OBJECTIVE OPTIMIZATION ALGORITHM

Brodogradnja

article

Hou, Shuping¹  Zhang, Zejiang¹  Lian, Hongtai¹  Xing, Xiaodong¹  Gong, Haixia¹  Xu, Xiujun² 

[1] College of Mechanical and Electrical Engineering, Harbin Engineering University;College of Intelligent Systems Science and Engineering, Harbin Engineering University

关键词: resistance;    volume;    small underwater vehicle;    Kriging-based responsesurface method;    CFD;    multi-objective optimization algorithm;   

DOI  :  10.21278/brod73307

学科分类：工程和技术（综合）

来源: Brodarski Institut

【 摘 要 】

Small underwater vehicles have unique advantages in ocean exploration. The resistanceand volume of a vehicle are key factors affecting its operation time underwater. This paperaims to develop an effective method to obtain the optimal hull shape of a small underwatervehicle using Kriging-based response surface method (RSM) and multi-objectiveoptimization algorithm. Firstly, the hydrodynamic performance of a small underwater vehicleis numerically investigated using computational fluid dynamics (CFD) method and the valuerange of related design variables is determined. The mesh convergence is verified to ensurethe 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 therelation between each design variable of the vehicle and the output parameters applied to thevehicle. Based on the Kriging-based RSM model, the optimal hull shape of the vehicle isdetermined by using Screening and MOGA. As results, the vehicle resistance reduces andvolume increases obviously.

【 授权许可】

CC BY