Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICCMS.2009.57 | ICCMS |
Keywords | Field | DocType |
design of experiments,design optimization,optimization,mesh generation,mathematical model,shape optimization,shape,computational fluid dynamics,radial basis function,underwater glider,experimental design,marine engineering,engineering design,design of experiment,multi objective optimization,response surface methodology,computational modeling,surrogate model | Computer science,Surrogate model,Control engineering,Parametric statistics,Shape optimization,Engineering design process,Mesh generation,Design of experiments,Underwater glider,Computation | Conference |
Volume | Issue | Citations |
null | null | 1 |
PageRank | References | Authors |
0.38 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haitao Gu | 1 | 1 | 0.38 |
| Lin Yang | 2 | 1 | 0.72 |
| Zhiqiang Hu | 3 | 1 | 0.72 |
| Jiancheng Yu | 4 | 13 | 2.54 |