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Capturing Real Life Variability in Virtual Testing

[+] Author Affiliations
D. M. Bardot, A. F. Emery

University of Washington

Paper No. IMECE2006-14801, pp. 169-176; 8 pages
  • ASME 2006 International Mechanical Engineering Congress and Exposition
  • Heat Transfer, Volume 2
  • Chicago, Illinois, USA, November 5 – 10, 2006
  • Conference Sponsors: Heat Transfer Division
  • ISBN: 0-7918-4785-3 | eISBN: 0-7918-3790-4
  • Copyright © 2006 by ASME


The motivation for this work is the need to analyze the behavior of an engineering system subjected to the hostile environment of a fire. The specific goal is to estimate the survivability of a component potted in insulating foam. The foam undergoes an endothermic reaction and through this heat sink protects the component. Because the operating conditions are stochastic and because the properties of the foam can only be estimated, the usual deterministic analysis cannot be used. Instead, Bayesian inference is used to estimate the critical foam parameters and the operating conditions are described in terms of probabilities. The survivability is then expressed in terms of a probability distribution. Because the computations are very computationally expensive, recourse was made by expressing the computed results as a response surface defined in terms of a Gaussian process.

Copyright © 2006 by ASME



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