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Earthquake magnitude and shaking intensity dependent fragility functions for rapid risk assessment of buildings

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Nollet, Marie-José and Abo El Ezz, Ahmad and Surprenant, Oliver and Smirnoff, Alex and Nastev, Miroslav. 2018. « Earthquake magnitude and shaking intensity dependent fragility functions for rapid risk assessment of buildings ». Geosciences, vol. 8, nº 1. p. 16.
Compte des citations dans Scopus : 3.

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Abstract

An integrated web application, referred to as ER2 for rapid risk evaluator, is under development for a user-friendly seismic risk assessment by the non-expert public safety community. The assessment of likely negative consequences is based on pre-populated databases of seismic, building inventory and vulnerability parameters. To further accelerate the computation for near real-time analyses, implicit building fragility curves were developed as functions of the magnitude and the intensity of the seismic shaking defined with a single intensity measure, input spectral acceleration at 1.0 s implicitly considering the epicentral distance and local soil conditions. Damage probabilities were compared with those obtained with the standard fragility functions explicitly considering epicentral distances and local site classes in addition to the earthquake magnitudes and respective intensity of the seismic shaking. Different seismic scenarios were considered first for 53 building classes common in Eastern Canada, and then a reduced number of 24 combined building classes was proposed. Comparison of results indicate that the damage predictions with implicit fragility functions for short (M ≤ 5.5) and medium strong motion duration (5.5 < M ≤ 7.5) show low variation with distance and soil class, with average error of less than 3.6%.

Item Type: Peer reviewed article published in a journal
Uncontrolled Keywords: Fonds d'auteur ÉTS, FAETS
Professor:
Professor
Nollet, Marie-José
Affiliation: Génie de la construction
Date Deposited: 12 Jan 2018 20:09
Last Modified: 30 Jan 2018 13:58
URI: http://espace2.etsmtl.ca/id/eprint/16122

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