Uncertainty is an inescapable reality that can be found in nearly all types of engineering analyses. It arises from sources like measurement inaccuracies, material properties, boundary and initial conditions, and modeling approximations. With the increasing complexity and more demanding requirements for engineered systems, it has become vital to include Uncertainty Quantification (UQ) in engineering analysis. This webinar will introduce stochastic methods and UQ tools, discuss potential implementations in an industry setting, and use case studies to demonstrate the benefits of going beyond deterministic analysis.
The competitive benefits of UQ include reduced development time and cost, improved designs, better understanding of risk, and quantifiable confidence in analysis results and engineering decisions. Unfortunately, there are obstacles and technical challenges which can prevent organizations from utilizing UQ methods and techniques in their engineering practice. This webinar will discuss these challenges as well as strategies for addressing them.