SC13 Home > SC13 Schedule > SC13 Presentation - Uncertainty Quantification in Computational Models

SCHEDULE: NOV 16-22, 2013

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Uncertainty Quantification in Computational Models

SESSION: Invited Talks 3

EVENT TYPE: Invited Speakers

TIME: 4:15PM - 5:00PM

SESSION CHAIR: Robert F. Lucas

Presenter(s):Habib N. Najm

ROOM:Mile High

Models of physical systems involve inputs/parameters determined from empirical measurements, and therefore exhibiting a degree of uncertainty. Estimating the propagation of this uncertainty into computational model output predictions is crucial for purposes of validation, design optimization, and decision support. Recent years have seen significant developments in probabilistic methods for efficient uncertainty quantification (UQ) in computational models. These methods are grounded in the use of functional representations for random variables. In this context, the utility of Polynomial Chaos (PC) UQ methods has been demonstrated in a range of physical models, including structural mechanics, porous media, fluid dynamics, heat transfer, and chemistry. While high-dimensionality remains a challenge, great strides have been made in dealing with moderate dimensionality along with non-linearity and oscillatory dynamics. This talk will outline PC UQ methods, and their utility in the estimation of uncertain input parameters from empirical data, and for propagation of parametric uncertainty to model outputs.

Chair/Presenter Details:

Robert F. Lucas (Chair) - Information Sciences Institute

Habib N. Najm - Sandia National Laboratories

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