|About this Symposium
||MS&T24: Materials Science &Technology
||Uncertainty Quantification Applications in Materials and Engineering
||Mark J. Andrews, SmartUQ (retired)
Gavin Jones, SmartUQ
||Uncertainty Quantification is the science of assessing what is known and not known in a given analysis. It provides the analysts the realm of variation in the analytical response or solution given that input parameters may not be well characterized. Aside from understanding the plausible variation in the analytical responses, it also plays an important role in decision analytics. The scope for this symposium includes examples of applying Uncertainty Quantification methods to Material Science and Engineering analyses. It includes any of the following topics. Methods to quantify input parameter measurement uncertainty. Using Sensitivity Analysis to identify input parameters which have the greatest impact on the responses of interest. Model Calibration methods and results. Assessing model form uncertainty. Using Bayesian methods to quantify uncertainties. How quantifying uncertainties aides in decision making process.