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A SYSTEMATIC APPROACH FOR QUANTIFYING AND IMPROVING CFD COMPUTATIONS OF COMPLEX FLOWS

Svetlana V. Poroseva
School of Computational Science, Florida State University Tallahassee 32306-4120, USA; Department of Mechanical Engineering University of New Mexico Albuquerque, New Mexico, 87131-0001, U.S.A.

M. Yousuff Hussaini
School of Computational Science, Florida State University Tallahassee 32306-4120, USA

Stephen L. Woodruff
Computational AeroSciences Branch, NASA Langley Research Center, Hampton, VA 23681

Аннотация

When turbulence models are used in the simulation of a flow for which experimental results do not exist, there is as yet no reliable procedure for choosing a model or for quantifying the uncertainty of results. The present study develops an approach based on evidence theory for the resolution of these issues. The results of turbulence-model validations and of predictions using those models are fused to determine the intervals in which a flow quantity is likely to fall and a measure of confidence for each interval. The approach is tested in a subsonic flow around the RAE 2822 airfoil.