Engineering organizations must increasingly rely on computational simulation for design and predicted performance, reliability, and safety of systems. Computational analysts, designers, decision makers, and project managers who rely on simulation should ensure that practical techniques and methods are in-place for assessing simulation credibility.

This webinar will sketch a framework for incorporating a wide range of error and uncertainty sources identified during the mathematical modeling, verification, and validation processes, with the goal of estimating the total predictive uncertainty of the simulation. This is referred to as predictive capability because typically no experimental measurements are available for the systems or subsystems at the application conditions of interest.