2014
DOI: 10.1590/s1983-41952014000400002
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Seismic fragility of a highway bridge in Quebec retrofitted with natural rubber isolators

Abstract: This paper presents fragility curves for the evaluation of a highway bridge retrofitted with seismic isolator devices. The object of this study is the Chemin des Dalles bridge over Highway 55 located in Trois-Rivières in Quebec, Canada. A series of synthetic ground motions time histories compatible with eastern Canada are used to capture the uncertainties related to the hazard. The seismic isolator model represents natural rubber bearing placed under the longitudinal girders over the bents and the abutments of… Show more

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Cited by 6 publications
(3 citation statements)
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References 20 publications
(23 reference statements)
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“…This bridge was designed in 1975 and does not comply with current seismic design standards and detailing. It has been extensively studied and comprehensive data is available on the structural properties, capacity, site conditions, and numerical model (Roy et al, 2010;Siqueira et al, 2014b;Tavares et al, 2013;Zuluaga Rubio et al, 2019). Details on the numerical model, component capacities, and ground motion record selection are presented next.…”
Section: Case Study: Chemin Des Dalles Bridgementioning
confidence: 99%
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“…This bridge was designed in 1975 and does not comply with current seismic design standards and detailing. It has been extensively studied and comprehensive data is available on the structural properties, capacity, site conditions, and numerical model (Roy et al, 2010;Siqueira et al, 2014b;Tavares et al, 2013;Zuluaga Rubio et al, 2019). Details on the numerical model, component capacities, and ground motion record selection are presented next.…”
Section: Case Study: Chemin Des Dalles Bridgementioning
confidence: 99%
“…An overview of the bridge model as well as some details on bents, columns, and abutments are illustrated in Figure 2. Further details on the numerical model and its calibration are found elsewhere (Siqueira et al, 2014b;Tavares et al 2013).…”
Section: Numerical Modelmentioning
confidence: 99%
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