UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL FLUID DYNAMICS

(RTO-AVT-VKI)

From October 24 to 28, 2011

von Karman Institute, Rhode-St-Genèse, Belgium

Increasingly powerful computers enable routine flow simulations in complex systems. How accurate are the resulting predictions? Are the mathematical and physical models correct? Do we have sufficient  information to define the operating conditions? In general, how can we establish “error bars” on the results? Uncertainty Quantification (UQ) aims at developing rigorous methods to characterize the impact of “limited knowledge” on quantities of interest. At the interface of physics, mathematics and statistics UQ efforts are in their infancy in computational science. This Lecture Series introduces UQ to the computational fluid dynamics community, with emphasis on theory, applications and numerical tools.

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