Uncertainty quantification for multiscale simulations

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

Research output: Contribution to journalReview articlepeer-review

41 Scopus citations


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
Issue number1
StatePublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Mechanical Engineering


Dive into the research topics of 'Uncertainty quantification for multiscale simulations'. Together they form a unique fingerprint.

Cite this