Introduction to Uncertainty Quantification

When modeling designs or processes where there is uncertainty in model inputs, such as geometric dimensions that are subject to manufacturing tolerances or variations in material properties, uncertainty quantification helps estimate and characterize the uncertainty to determine the likelihood of a specific outcome. Understanding the impact of model uncertainty helps engineers and researchers make more informed decisions and optimize designs.

During this webinar, we will discuss the statistical and probabilistic methods available in the Uncertainty Quantification Module to help you understand how input uncertainty will affect the performance of a final design. It expands the functionality of the COMSOL Multiphysics® software platform by adding methods such as screening, global sensitivity, propagation of uncertainties, and reliability analysis.