報告時間：2024年10月18日（星期五）9:00
報告地點：學術會議中心三樓報告廳
報 告 人：Michael Beer 教授
工作單位：Leibniz Universit?t Hannover, Germany
舉辦單位：土木與水利工程學院
報告簡介：
Numerical tools to approximate the solution of (sets of) differential equations have become indispensable in the design of components from the micro-scale to complete structures. Thanks to these tools, an engineer is now able to design, test and optimize designs long before a first prototype is built. However, despite the highly detailed numerical predictions that can be obtained, the results of these calculations often show a non-negligible discrepancy with the actual physical behavior of the structure. At the core of this discrepancy lies uncertainty in the description of the model physics, as well as the governing parameters.
報告人簡介：
Matthias Faes became a full Professor in Reliability Engineering at TU Dortmund at the age of 30, since February 2022. Before, he was a post-doctoral fellow of the Research Foundation Flanders (FWO) working at the Department of Mechanical Engineering of KU Leuven, and was also affiliated to the Institute for Risk and Reliability at the University of Hannover as Humboldt Fellow. He graduated summa cum laude as Master of Science in Engineering Technology in 2013 and obtained his PhD in Engineering Technology from KU Leuven in 2017. Since then, he is working on advanced methodologies for non-probabilistic uncertainty quantification under scarce data and information, including inverse and data-driven methods, stochastic fields and interval techniques.
