ON SEQUENTIAL SAMPLING for GLOBAL METAMODELING in ENGINEERING DESIGN

Rulchen Jin, Wei Chen*, Agus Sudjianto

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

247 Scopus citations

Abstract

Approximation models (also known as metamodels) have been widely used in engineering design to facilitate analysis and optimization of complex systems that involve computationally expensive simulation programs. The accuracy of metamodels is directly related to the sampling strategies used. Our goal in this paper is to investigate the general applicability of sequential sampling for creating global metamodels. Various sequential sampling approaches are reviewed and new approaches are proposed. The performances of these approaches are investigated against that of the onestage approach using a set of test problems with a variety of features. The potential usages of sequential sampling strategies are also discussed.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Design Engineering Technical Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages539-548
Number of pages10
ISBN (Electronic)0791836223
DOIs
StatePublished - 2002
EventASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2002 - Montreal, Canada
Duration: Sep 29 2002Oct 2 2002

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2

Conference

ConferenceASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2002
Country/TerritoryCanada
CityMontreal
Period9/29/0210/2/02

Funding

The supports from the National Science Foundation grants DMI-9896300 and CMS-0084477 are gratefully acknowledged. A part of the research investigations was conducted during the summer interns of the principal author, supported by the Ford Motor Company.

ASJC Scopus subject areas

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

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