C2
UQ for Model V&V

Uncertainty quantification (UQ) plays a critical role in establishing model prediction capability and credibility. Model verification and validation (V&V) frameworks have been developed for the fluid mechanics, solid mechanics, and integrated computational materials engineering (ICME) disciplines as well as organization specific guidance for NASA and the U.S. Department of Defense to address the need to confirm that model predictions are sufficiently accurate to support programmatic decisions. This tutorial will introduce concepts of model V&V and how uncertainty analysis is used to support the process with an emphasis on identifying uncertainties and methods to quantify their impact on model predictions. A realistic case study based on a model developed to predict the temperature dependent yield strength of nickel-based superalloys will be used to introduce concepts and demonstrate analysis strategies for identifying, quantifying, and reducing uncertainty in the model predictions.