Uncertainty quantification for chaotic computational fluid dynamics

Authors:
Y. Yu;M. Zhao;T. Lee;N. Pestieau;W. Bo;J. Glimm;J. W. Grove
Affiliations:
Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, NY;Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, NY;Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, NY;Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, NY;Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, NY;Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, NY and Computational Science Center, Brookhaven National Laboratory, Upton, NY;Los Alamos National Laboratory, Los Alamos, NM
Venue:
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
Year:
2006

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Abstract

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.