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TitleRapid seismic risk assessment at urban scale
 
AuthorNastev, MORCID logo; Abo-El-Ezz, AORCID logo; Smirnoff, A; Nollet, M -J; McGrath, HORCID logo
Source16th European Conference on Earthquake Engineering, proceedings; 10658, 2018 p. 1-9 Open Access logo Open Access
LinksOnline - En ligne
Image
Year2018
Alt SeriesNatural Resources Canada, Contribution Series 20200439
PublisherEuropean Association of Earthquake Engineering
Meeting16th European Conference on Earthquake Engineering (16ECEE); Thessaloniki; GR; June 18-21, 2018
DocumentWeb site
Lang.English
Mediaon-line; digital
File formatpdf
ProvinceQuebec
NTS31G/01; 31G/08; 31G/09; 31G/16; 31H/02; 31H/03; 31H/04; 31H/05; 31H/06; 31H/07; 31H/10; 31H/11; 31H/12; 31H/13; 31H/14; 31H/15; 31I/02; 31I/03; 31I/04; 31J/01
AreaMontreal; St. Lawrence River
Lat/Long WENS -74.5000 -72.7500 46.2500 45.0000
SubjectsScience and Technology; Information and Communications; Health and Safety; seismic risk; earthquake risk; urban geology; models; software; ER2 (rapid risk evaluation); Methodology; Decision making; Public safety; Buildings
Illustrationslocation maps; geoscientific sketch maps; plots; screen captures; bar graphs
ProgramPublic Safety Geoscience
Released2018 06 01
AbstractThe primary objective of the present study is to overcome the current communication barriers between seismic risk experts on one side and decision makers from the public safety community on the other. A simplified methodology was developed for a first-hand assessment of the potential earthquake impacts as a combination of three major components: seismic hazard, inventory of buildings at risk and respective vulnerability models. Due to the similar construction practices, the same structural parameters as proposed by the US FEMA were used for 128 building types. Central to the vulnerability analysis is the concept of fragility function, which correlates the probability of exceedance of a specified damage state to the intensity of the seismic shaking. Fragility functions were developed based on the magnitude of the seismic scenario and the input spectral acceleration at a period of 0.3s (Sa0.3) and 1.0s (Sa1.0) as intensity measures (IM) of the seismic shaking. To accelerate the damage assessment, the distance and the local site effects are implicitly considered by the spatial distribution of IMs. In this way, tedious iterations for determination of the performance point are avoided and seismic scenarios for large urban centers can be run in a few minutes. The above approach was programmed into an easy to run web-application referred to as ER2 (rapid risk evaluation). Equipped with graphic user interface, ER2 allows non-expert users to run otherwise complex seismic risk scenarios at a 'press of a button' through a simple intuitive selection process.
GEOSCAN ID327302

 
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