A New Approach for the Shape Optimization of Complex Nonlinear Structures

Author:

Yao Zhen Han1,Wei Ying Tao1

Affiliation:

1. Tsinghua University

Abstract

To enhance the efficiency for the shape optimization of complex nonlinear structure, based on the FE analysis combined with the sensitivity analysis, the gradient-based Kriging (GBK) method is applied. A new criterion to determine the likely best spatial correlation parameter in GBK based on Latin Hypercube Design (LHD) presented by authors is also applied. A more practical example for the shape optimization of automotive tire is presented to show the applicability of the GBK method.

Publisher

Trans Tech Publications, Ltd.

Reference5 articles.

1. Y. Xuan, J.H. Xiang, W.H. Zhang, Y.L. Zhang, Gradient-based Kriging approximate model and its application research to optimization design, Sci China E: Tech Sci, 52 (2009) 1117-1124.

2. K.K. Choi, N.H. Kim, Structural Sensitivity Analysis and Optimization 1: Linear Systems, Springer, New York, (2005).

3. K.K. Choi, N.H. Kim, Structural Sensitivity Analysis and Optimization 2: Nonlinear Systems and Applications, Springer, New York, (2005).

4. Z.H. Yao, Y.T. Wei, Some ideas and progress on the shape optimization of nonlinear structures, Procedia Engineering, 31 (2012) 600-607.

5. V.R. Joseph, Y. Hung, Orthogonal-maximin Latin hypercube designs, Statistica Sinica, 18 (2008) 171-186.

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