Cylindrical tube optimization using response surface method based on stochastic process

被引:46
作者
Lee, SH
Kim, HY
Oh, SI
机构
[1] Seoul Natl Univ, Sch Mech & Aerosp Engn, Seoul 151742, South Korea
[2] Kangweon Natl Univ, Dept Engn Mech, Chunchon 200701, South Korea
关键词
crashworthiness; response surface method; stochastic process; global optimization;
D O I
10.1016/S0924-0136(02)00794-X
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents the optimization result in the crashworthiness problem for maximizing absorbing energy of cylindrical tube. To simulate a complicated behavior of this kind of crash problem, a self-developed explicit finite element code is used. The response surface method based on stochastic process is used, that is especially good at modeling the non-linear, multi-modal functions that often bring about in engineering. The main characteristics of using response surface for global optimization lies in balancing the need to exploit the fitting surface for improving the approximation. It can be shown that how these approximating functions can be used to construct an efficient global optimization algorithm. Especially, with the comparison of result by classical optimization method, it can be shown that presented optimization method is independent of noise factor and existence of local minimum. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:490 / 496
页数:7
相关论文
共 21 条
[1]  
[Anonymous], 1996, Proceedings of the Section on Physical and Engineering Sciences
[2]  
Arora J., 2004, Introduction to Optimum Design
[3]   EXPLICIT ALGORITHMS FOR THE NONLINEAR DYNAMICS OF SHELLS [J].
BELYTSCHKO, T ;
LIN, JI ;
TSAY, CS .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1984, 42 (02) :225-251
[4]  
CHOI KK, AIAA984721, P148
[5]   Optimization and control using response surface methods [J].
Edwards, IM ;
Jutan, A .
COMPUTERS & CHEMICAL ENGINEERING, 1997, 21 (04) :441-453
[6]   Application of response surface methodology for predicting weld bead quality in submerged are welding of pipes [J].
Gunaraj, V ;
Murugan, N .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 88 (1-3) :266-275
[7]  
JOHNS D, 1998, J GLOBAL OPTIMIZATIO
[8]   Stochastic algorithms in nonlinear regression [J].
Krivy, I ;
Tvrdík, J ;
Krpec, R .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2000, 33 (03) :277-290
[9]  
LEE SM, 2002, THESIS SEOUL NATL U
[10]   STRUCTURAL OPTIMIZATION WITH CRASHWORTHINESS CONSTRAINTS [J].
LUST, R .
STRUCTURAL OPTIMIZATION, 1992, 4 (02) :85-89