Virtual Inspector and its application to immediate pre-event and post-event earthquake loss and safety assessment of buildings

Judith Mitrani-Resier (), Stephen Wu () and James L. Beck ()
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Judith Mitrani-Resier: Johns Hopkins University
Stephen Wu: California Institute of Technology
James L. Beck: California Institute of Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 81, issue 3, No 22, 1878 pages

Abstract: Abstract We previously introduced the Virtual Inspector, which is a decision-support system that follows current US guidelines for post-earthquake damage and safety evaluation of buildings in order to calculate probabilities that a building will be tagged with red, yellow or green safety placards after earthquake shaking of the building. The procedure is based on an existing probabilistic methodology for performance-based earthquake engineering that involves four analysis stages: hazard, structural, damage and loss analyses. In this paper, we propose to integrate the Virtual Inspector into an automated system for immediate pre- and post-earthquake loss and safety assessment in a building. This system could be combined with an earthquake early warning system to assist in an automated decision analysis for initiating safety and loss mitigation actions just before the arrival of earthquake shaking at the building site. The Virtual Inspector can also be used immediately after strong earthquake shaking to provide an automated probabilistic safety and loss assessment to support risk decision making related to possible building closure and the cost of recovery to bring the building back to an operating condition. The proposed theory for these extensions of the Virtual Inspector is illustrated using an example based on a previously studied benchmark office building.

Keywords: Structural safety; Earthquake loss assessment; Performance-based earthquake engineering; Earthquake early warning; Decision-support system (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11069-016-2159-6

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