Bayesian Network Enhanced with Structural Reliability Methods: Methodology
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VIEW THE REPLYPublication: Journal of Engineering Mechanics
Volume 136, Issue 10
Abstract
We combine Bayesian networks (BNs) and structural reliability methods (SRMs) to create a new computational framework, termed enhanced BN (eBN), for reliability and risk analysis of engineering structures and infrastructure. BNs are efficient in representing and evaluating complex probabilistic dependence structures, as present in infrastructure and structural systems, and they facilitate Bayesian updating of the model when new information becomes available. On the other hand, SRMs enable accurate assessment of probabilities of rare events represented by computationally demanding physically based models. By combining the two methods, the eBN framework provides a unified and powerful tool for efficiently computing probabilities of rare events in complex structural and infrastructure systems in which information evolves in time. Strategies for modeling and efficiently analyzing the eBN are described by way of several conceptual examples. The companion paper applies the eBN methodology to example structural and infrastructure systems.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 136 • Issue 10 • October 2010
Pages: 1248 - 1258
Copyright
© 2010 ASCE.
History
Received: Jul 27, 2009
Accepted: Mar 23, 2010
Published online: Mar 25, 2010
Published in print: Oct 2010
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