Computationally inexpensive metamodel assessment strategies

Martin Meckesheimer, Russell R. Barton, Timothy W. Simpson, Andrew J. Booker

Research output: Contribution to conferencePaperpeer-review

17 Scopus citations


In many scientific and engineering domains, it is common to analyze and simulate complex physical systems using mathematical models. Although computing resources continue to increase in power and speed, discipline-specific computer simulation modules continue to grow in complexity and remain computationally expensive, limiting their use in design optimization. The use of different approximation strategies as inexpensive metamodels of the discipline-specific simulation models has led to the development of various metamodel-based integration frameworks and associated research topics. In particular, integration of the discipline-specific metamodels requires an assessment of the overall system error based on the individual approximation errors. As a result, there is a need to develop efficient methods to assess metamodel fidelity at the system and subsystem level. In this paper, we investigate computationally inexpensive assessment methods for metamodel validation at the subsystem level and evaluate a two-stage validation approach on two classes of test problems: 1. Three response functions from a Boeing simulation model, and 2. two response functions from a set of problems for testing optimization codes. Preliminary results indicate that the two stage-validation approach is promising, since it requires no additional computationally expensive disciplinary model evaluations and can provide a practical estimate of the true error measure.

Original languageEnglish (US)
Number of pages11
StatePublished - 2001
Event2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA, United States
Duration: Sep 9 2001Sep 12 2001


Other2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference
Country/TerritoryUnited States
CityPittsburgh, PA

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


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