Surrogate Models for Shape Optimization of Underwater Glider

Abstract

Design of experiments and surrogate models method facilitating much of today’s engineering design and optimization. In this paper we systematically compare several experimental design types and surrogate modeling techniques in terms of their capability to generate accurate approximations for the shape optimization of underwater gliders. The parametric geometry construction, mesh generation and computation fluid dynamics were integrated as an automatic analysis process. Procedures of surrogate model construction were presented and the characteristics and applicability of response surface model and radial basis function model were discussed. A fast design exploration and multi-objective optimization was implemented. At last, the optimal plane shape of the Underwater Glider was found out based on the surrogate model.