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Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach.
Heng Xiao
J.-L. Wu
Jian-Xun Wang
Rui Sun
C. J. Roy
Published in:
J. Comput. Phys. (2016)
Keyphrases
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data driven
probabilistic model
computational model
probability distribution
management system
high level
computer science
pairwise
prior knowledge
theoretical analysis
closed form
numerical simulations
random fields