Integrated DEsign Automation Laboratory

Integrated DEsign Automation Laboratory

Metamodeling for Simulation-Based Design

For reducing the enormous computational cost of complex scientific and engineering simulations, our goal in this area of research is to develop efficient response surface modeling (metamodeling) approaches to provide approximation models of lower computational cost as surrogates of the expensive simulations. To improve the accuracy as well as the efficiency of using response surface models, sequential metamodeling procedures have been developed for both global approximation of a design space and metamodeling for the purpose of optimization. Comprehensive comparative studies have been conducted to provide the guidelines for choosing the most appropriate response surface modeling technique based on multiple modeling criteria in both deterministic optimization and optimization under uncertainty. An efficient and flexible algorithm is developed for constructing various classes of optimal designs that retain certain desirable structural properties. We have developed generalized analytical formulations that can provide efficient and accurate global sensitivity analysis and uncertainty propagation for a variety of metamodels. The benefits of using the developed metamodeling techniques have been demonstrated through various design applications.

Commercialized software code:  The optimal design of computer experiments algorithm (OPTDOE) (Jin, et al., JSPI, 2005) has made the just-in-time generation of large computer experiments possible.  The code has been fully integrated into iSIGHT®, a multidisciplinary design optimization software, developed by Dassault Systems.

Representative Papers

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Integrated DEsign Automation Laboratory

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