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SUMMARY:Uncertainties in Engineering Analyses - Concepts and Applications 
 of Imprecise Probabilities
DTSTART:20111020T121500
DTSTAMP:20260508T120208Z
UID:cadca253abc4627d28df2669265a0cf080c80fd6fcad5107aec57e13
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Michael Beer\nPredicting the behavior and reliability of
  engineering structures and systems is often plagued by uncertainty and im
 precision caused by sparse data\, poor measurements and subjective informa
 tion. Accounting for such limitations complicates the mathematical modelin
 g required to obtain realistic results in engineering analyses. In the sem
 inar 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 n
 on-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.\n\n\nAbout the Speaker:
  Michael Beer is Professor of Uncertainty in Engineering in the Centre for
  Engineering Sustainability\, School of Engineering\, University of Liverp
 ool. He graduated with a doctoral degree in Civil Engineering from the Tec
 hnische Universität Dresden\, Germany. As a Feodor-Lynen Fellow of the Al
 exander von Humboldt-Foundation Dr. Beer pursued research at Rice Universi
 ty together with Professor Pol D. Spanos. From 2007 to 2011 he worked as a
 n Assistant Professor in the Department of Civil & Environmental Engineeri
 ng\, National University of Singapore. His research is focused on non-trad
 itional uncertainty models in engineering with emphasis on reliability ana
 lysis and on robust design. Dr. Beer is a Member of ASME\, Charter Member 
 of the ASCE Engineering Mechanics Institute\, Member of the European Assoc
 iation for Structural Dynamics\, Member of IACM\, as well as Member of the
  Editorial Board of Probabilistic Engineering Mechanics and Computers & St
 ructures.
LOCATION:GC C330
STATUS:CONFIRMED
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