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A Review and Evaluation of Existing Adaptive Sampling Criteria and Methods for the Creation of NURBs-Based Metamodels

[+] Author Affiliations
Bethany Pickett, Cameron J. Turner

Colorado School of Mines, Golden, CO

Paper No. DETC2011-47288, pp. 609-618; 10 pages
doi:10.1115/DETC2011-47288
From:
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5479-2
  • Copyright © 2011 by ASME

abstract

Metamodels are widely used during the design process in place of expensive simulation models when computationally efficiency is imperative. Non-Uniform Rational B-Splines (NURBs) based metamodels have proven to be an effective modeling technique. Although metamodels can reduce the computation expense of design analysis and optimization, the sampling methods used to create the metamodels also play an imperative role in the computational efficiency and overall model quality. The research presented in this paper reviews various adaptive sampling criteria and methods and evaluates the different methods to determine the best sampling technique for the development of NURBs-based metamodels.

Copyright © 2011 by ASME

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