Civil Engineering and Engineering Mechanics Seminar Series
Room/Area: Zoom
Title: "Evidence Theory: What, Why and How in Engineering for Natural Hazards"
Speaker: Prof. Ross B. Corotis, Denver Business Challenge Professor and Dean Emeritus, University of Colorado, Boulder
Date: Friday, March 4, 2022
Time: 12:00PM EST
Host: Prof. George Deodatis
Registration: Click here to register for the seminar and receive the Zoom link.
Abstract:
There is a demonstrated need for new and improved quantification of uncertainty, particularly for the analysis of structures subjected to stressors caused by natural hazards. For the traditional two classifications of uncertainty, aleatory is handled well by existing probability theory, whereas epistemic remains difficult to incorporate into probability theory-based models. Despite these limitations, probability theory has dominated the characterization of uncertainty. The field of Artificial Intelligence (AI) is driving development of novel methods of uncertainty assessment free of the limiting constraints of probability theory. One such framework for assessing uncertainty is evidence theory. Evidence theory was originally conceived in the 1970s, and has recently seen expanded applications to problems typically addressed by traditional engineering methods. Evidence theory, however, has yet to be applied in general to applications relevant to infrastructure asset management. This seminar will explore some of the aspects of Evidence Theory, and provide guidelines for its application in engineering settings.
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