Uncertainties in Engineering Analyses - Concepts and Applications of Imprecise Probabilities
Event details
| Date | 20.10.2011 |
| Hour | 12:15 |
| Speaker | Prof. Michael Beer |
| Location |
GC C330
|
| Category | Conferences - Seminars |
Predicting the behavior and reliability of engineering structures and systems is often plagued by uncertainty and imprecision caused by sparse data, poor measurements and subjective information. Accounting for such limitations complicates the mathematical modeling required to obtain realistic results in engineering analyses. In the seminar options for the modeling of uncertainty and imprecision are reviewed from an engineering perspective. Imprecise probabilities are discussed as a general framework for the simultaneous consideration of stochastic and non-stochastic characteristics. This includes various points of view in the modeling associated with evidence theory, interval probabilities, p-box approach, and with fuzzy probabilities. Engineering examples demonstrate the applicability and usefulness of the concepts.
About the Speaker: Michael Beer is Professor of Uncertainty in Engineering in the Centre for Engineering Sustainability, School of Engineering, University of Liverpool. He graduated with a doctoral degree in Civil Engineering from the Technische Universität Dresden, Germany. As a Feodor-Lynen Fellow of the Alexander von Humboldt-Foundation Dr. Beer pursued research at Rice University together with Professor Pol D. Spanos. From 2007 to 2011 he worked as an Assistant Professor in the Department of Civil & Environmental Engineering, National University of Singapore. His research is focused on non-traditional uncertainty models in engineering with emphasis on reliability analysis and on robust design. Dr. Beer is a Member of ASME, Charter Member of the ASCE Engineering Mechanics Institute, Member of the European Association for Structural Dynamics, Member of IACM, as well as Member of the Editorial Board of Probabilistic Engineering Mechanics and Computers & Structures.
Practical information
- General public
- Free
Contact
- Prof. Ian Smith