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Bayesian Network for Seismic Risk Assessment and Management Infrastructure Systems
Wed, Dec 02, 2009 @ 02:00 PM - 03:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Armen Der Kiureghian, Taisei Professor of Civil Engineering,University of California, BerkeleyABSTRACT:A Bayesian network (BN) is a directed acyclic probabilistic graph encoding the interdependence between a set of random variables. In application to seismic risk assessment of infrastructure systems, the variables may represent uncertain demands or capacities, or the states of the system and its components. Upon entering evidence (observations) on one or more variables, this information propagates throughout the BN, thus providing an up-to-date probabilistic characterization of the system state as the available information evolves. The BN can be augmented with utility and decision nodes to provide a tool for optimal decision making under uncertain and evolving information. This talk will demonstrate the usefulness of the BN methodology for risk assessment and management of infrastructure systems that are subject to earthquake hazard. An application to the proposed California High Speed Rail system will be presented.
Location: Kaprielian Hall (KAP) - rielian Hall 209
Audiences: Everyone Is Invited
Contact: Evangeline Reyes