A comparison of metamodeling techniques for crashworthiness optimization

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This crashworthiness optimization study compares the use of three metamodeling techniques while using a sequential random search method as a control procedure. The three methods currently applied are (i) the Successive Linear Response Surface Method, (ii) the Updated Neural Network method and (iii) the Kriging method. Three crashworthiness examples, including a full vehicle multidisciplinary analysis, are investigated. It is shown that, although NN and Kriging seem to require a larger number of initial points, the three metamodeling methods have comparable efficiency when attempting to achieve a converged result. The Neural Network and Kriging methods have the advantage that they can be updated to construct a reasonable global approximation with higher accuracy at the optimum. Copyright © 2004 by Livermore Software Technology Corporation.




Stander, N., Roux, W., Giger, M., Redhe, M., Fedorova, N., & Haarhoff, J. (2004). A comparison of metamodeling techniques for crashworthiness optimization. In Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (Vol. 4, pp. 2116–2127). American Institute of Aeronautics and Astronautics Inc. https://doi.org/10.2514/6.2004-4489

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