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A method for using legacy data for metamodel-based design of large-scale systems

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Abstract

Despite a steady increase in computing power, the complexity of engineering analyses seems to advance at the same rate. Traditional parametric design analysis is inadequate for the analysis of large-scale engineering systems because of its computational inefficiency; therefore, a departure from the traditional parametric design approach is required. In addition, the existence of legacy data for complex, large-scale systems is commonplace. Approximation techniques may be applied to build computationally inexpensive surrogate models for large-scale systems to replace expensive-to-run computer analysis codes or to develop a model for a set of nonuniform legacy data. Response-surface models are frequently utilized to construct surrogate approximations; however, they may be inefficient for systems having with a large number of design variables. Kriging, an alternative method for creating surrogate models, is applied in this work to construct approximations of legacy data for a large-scale system. Comparisons between response surfaces and kriging are made using the legacy data from the High Speed Civil Transport (HSCT) approximation challenge. Since the analysis points already exist, a modified design-of-experiments technique is needed to select the appropriate sample points. In this paper, a method to handle this problem is presented, and the results are compared against previous work.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, University at Buffalo, 1010 Furnas Hall, Buffalo, NY, 14260, USA

    A. Srivastava, K. Hacker & K. Lewis

  2. Department of Mechanical & Nuclear Engineering and Department of Industrial & Manufacturing Engineering, Pennsylvania State University, 329 Leonhard Building, University Park, PA, 16802, USA

    T.W. Simpson

Authors
  1. A. Srivastava
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  2. K. Hacker
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  3. K. Lewis
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  4. T.W. Simpson
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Correspondence to K. Lewis.

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Srivastava, A., Hacker, K., Lewis, K. et al. A method for using legacy data for metamodel-based design of large-scale systems. Struct Multidisc Optim 28, 146–155 (2004). https://doi.org/10.1007/s00158-004-0438-4

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  • DOI: https://doi.org/10.1007/s00158-004-0438-4

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