Uncertainty quantification for chaotic computational fluid dynamics

We seek error models for simulations that model chaotic flow. Stable statistics for the solution and for the error are obtained after suitable averaging procedures.

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Bibliographic Details
Published inJournal of computational physics Vol. 217; no. 1; pp. 200 - 216
Main Authors Yu, Y., Zhao, M., Lee, T., Pestieau, N., Bo, W., Glimm, J., Grove, J.W.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.09.2006
Subjects
CHAOS THEORY
Chaotic flow
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Computation
Computational fluid dynamics
Computer simulation
COMPUTERIZED SIMULATION
ERRORS
FLUID MECHANICS
Mathematical models
MATHEMATICAL SOLUTIONS
STATISTICS
Uncertainty
Uncertainty quantification
Uncertainty quantification
Chaotic flow
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Summary:We seek error models for simulations that model chaotic flow. Stable statistics for the solution and for the error are obtained after suitable averaging procedures.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2006.03.030