The Design of Open Engineering Systems Lab

University at Buffalo - The State University of New York

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A Method for Using Legacy Data for Metamodel-Based Design of Large-Scale Systems

Research Area: Research Publication Year: 2004
Type of Publication: Technical Report Keywords: approximation methods, design of experiments, kriging, response surface methodology
Authors: Srivastava, A; Hacker, Kurt; Lewis, Kemper; Simpson, Timothy
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-ofexperiments 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.
Journal of Structural and Multidisciplinary Optimization
Full text: SMO.Amit.pdf