Uncertainty quantification for multiscale simulations

B. DeVolder, J. Glimm, J. W. Grove, Y. Kang, Y. Lee, K. Pao, D. H. Sharp, Qian K. Ye

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

A general discussion of the quantification of uncertainty in numerical simulations is presented. A principal conclusion is that the distribution of solution errors is the leading term in the assessment of the validity of a simulation and its associated uncertainty in the Bayesian framework. Key issues that arise in uncertainty quantification are discussed for two examples drawn from shock wave physics and modeling of petroleum reservoirs. Solution error models, confidence intervals and Gaussian error statistics based on sim-lation studies are presented.

Original languageEnglish (US)
Pages (from-to)29-41
Number of pages13
JournalJournal of Fluids Engineering, Transactions of the ASME
Volume124
Issue number1
DOIs
StatePublished - 2002
Externally publishedYes

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Error statistics
Petroleum reservoirs
Shock waves
Physics
Computer simulation
Uncertainty

ASJC Scopus subject areas

  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Cite this

Uncertainty quantification for multiscale simulations. / DeVolder, B.; Glimm, J.; Grove, J. W.; Kang, Y.; Lee, Y.; Pao, K.; Sharp, D. H.; Ye, Qian K.

In: Journal of Fluids Engineering, Transactions of the ASME, Vol. 124, No. 1, 2002, p. 29-41.

Research output: Contribution to journalArticle

DeVolder, B, Glimm, J, Grove, JW, Kang, Y, Lee, Y, Pao, K, Sharp, DH & Ye, QK 2002, 'Uncertainty quantification for multiscale simulations', Journal of Fluids Engineering, Transactions of the ASME, vol. 124, no. 1, pp. 29-41. https://doi.org/10.1115/1.1445139
DeVolder, B. ; Glimm, J. ; Grove, J. W. ; Kang, Y. ; Lee, Y. ; Pao, K. ; Sharp, D. H. ; Ye, Qian K. / Uncertainty quantification for multiscale simulations. In: Journal of Fluids Engineering, Transactions of the ASME. 2002 ; Vol. 124, No. 1. pp. 29-41.
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