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Parameter Screening in Dynamic Computer Model Calibration Using Global Sensitivities

[+] Author Affiliations
Dorin Drignei, Zissimos P. Mourelatos

Oakland University, Rochester, MI

Ramesh Rebba

General Motors Product Development, Warren, MI

Paper No. DETC2010-28343, pp. 997-1005; 9 pages
doi:10.1115/DETC2010-28343
From:
  • ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 36th Design Automation Conference, Parts A and B
  • Montreal, Quebec, Canada, August 15–18, 2010
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4409-0 | eISBN: 978-0-7918-3881-5
  • Copyright © 2010 by ASME

abstract

Sensitivity analysis and computer model calibration are generally treated as two separate topics. In sensitivity analysis one quantifies the effect of each input factor on outputs, whereas in calibration one finds the values of input factors that provide the best match to a set of field data. In this paper we show a connection between these two seemingly separate concepts, and illustrate it with an automotive industry application involving a Road Load Acquisition Data (RLDA) computer model. We use global sensitivity analysis for computer models with transient responses to screen out inactive input parameters and make the calibration algorithm numerically more stable. Because the computer model can be computationally intensive, we construct a fast statistical surrogate for the computer model with transient responses. This fast surrogate is used for both sensitivity analysis and RLDA computer model calibration.

Copyright © 2010 by ASME

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