|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Friday, September 25, 2015, 4:00 p.m.|
|PLACE:||MARC Building, 401|
|TITLE:||Predicting Reliability in Multidisciplinary Engineering Systems under Uncertainty|
|COMMITTEE:||Dr. Seung-Kyum Choi, Chair (ME)
Dr. Yan Wang (ME)
Dr. Ying Zhang (ECE)
The future development of engineered products will require a blend of technical knowledge from multiple engineering domains that meet its relevant multidisciplinary design criteria with sufficient accuracy. However, modeling and simulating multidisciplinary engineering systems are challenging due to complexities such as interactions between various input parameters. Moreover, in order to accurately estimate risk and reliability of such complicated systems critical input parameters and the corresponding uncertainties must be correctly captured and propagated. Multidisciplinary engineering systems often require accurate representations of multivariate phenomena. Thus, it is essential to develop a framework that can handle multivariate phenomena of complex engineering systems under uncertainty.