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Brodogradnja : An International Journal of Naval Architecture and Ocean Engineering for Research and Development, Vol. 73 No. 3, 2022.

Original scientific paper

https://doi.org/10.21278/brod73307

HULL SHAPE OPTIMIZATION OF SMALL UNDERWATER VEHICLE BASED ON KRIGING-BASED RESPONSE SURFACE METHOD AND MULTI-OBJECTIVE OPTIMIZATION ALGORITHM

Shuping Hou ; College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
Zejiang Zhang ; College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
Hongtai Lian ; College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
Xiaodong Xing ; College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
Haixia Gong ; College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
Xiujun Xu ; College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

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Abstract

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.

Keywords

resistance; volume; small underwater vehicle; Kriging-based response surface method; CFD; multi-objective optimization algorithm

Hrčak ID:

281725

URI

https://hrcak.srce.hr/281725

Publication date:

1.7.2022.

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