Bayesian Network Framework for MacroScale Seismic Risk Assessment and Decision Making For Bridges

Content Provider	Semantic Scholar
Author	Broglio, Steven P. Crowley, Helen
Copyright Year	2012
Abstract	An efficient post-event assessment of bridges immediately after an earthquake can be useful in the organization of the initial emergency phase. The information available shortly after an earthquake can be difficult to manage: it may be in continuous evolution and arriving from different sources (e.g. sensors placed on the structure, seismological sources and recordings of the ground motion). This large amount of data can be processed to assess the condition of the structures and used to make decisions about its operation through the use of Bayesian Network (BN) models. Such tools allow probabilistic updating of the state of the structure in light of any observed evidence. This information, together with estimated losses relative to different bridge damage levels, is then used to formulate a decision problem regarding the optimal decision to make. An example presented herein will demonstrate the methodology for a bridge in a macro-scale analysis context.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.iitk.ac.in/nicee/wcee/article/WCEE2012_3267.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article