A comparison of metamodeling techniques for crashworthiness optimization

  • Stander N
  • Roux W
  • Giger M
 et al. 
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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.

Author-supplied keywords

  • Approximation theory
  • Computer simulation
  • Convergence of numerical methods
  • Neural networks
  • Optimization
  • Problem solving
  • Random access storage
  • Reliability

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  • Nielen Stander

  • Willem Roux

  • Mathias Giger

  • Marcus Redhe

  • Nely Fedorova

  • Johan Haarhoff

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