An Evolutionary Modeling Approach for Automotive Bumper System Design and Analysis

Author:

Ge Ping (Christine)1,Wang Nancy2,Lu Stephen C-Y.3

Affiliation:

1. Department of Mechanical Engineering, Oregon State University, Rogers Hall 416, Corvallis, OR 97331-6001

2. Rapid Engineering of Vehicle Structures, Manufacturing Systems Department, Ford Motor Company, 2101 Village Rd., P.O. Box 2053, Dearborn, MI 48121

3. The IMPACT Laboratory, School of Engineering, University of Southern California, 3650 McClintock Ave., OHE 430M, Los Angeles, CA 90089-1453

Abstract

Surrogate models play an important role in improving design productivity and discovering knowledge at early design stage. In this paper, a preliminary version of an E_volutionary M_odeling A_pproach (EMA) is presented to generate surrogate models for highly nonlinear system with a large design space and limited resources. Through an evolutionary process, less accurate surrogate models gradually evolve into more accurate ones as the quality of the sampling data set is improved. Its use is demonstrated through an application at the early stage of automotive bumper system design and analysis. The results are verified by both FEA and physical test data.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Reference23 articles.

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3. Taguchi, G., 1987, System of Experimental Design, UNIPUB/Kraus International Publications, New York, and American Supplier Institute, Inc., Michigan.

4. Myers, R. H., and Montgomery, D. C., 1995, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, New York.

5. Sacks, J., Welch, W. J., Mitchell, T. J., and Wynn, H. P., 1989, “Design and Analysis of Computer Experiments,” Stat. Sci., 4(4), pp. 409–435.

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