| Title | Framework for seismic vulnerability of highway bridge networks |
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| Author | Abo El Ezz, A ;
Nollet, M -J; McGrath, H; Nastev, M |
| Source | Canadian Society for Civil Engineering Annual Conferrence 2018, full schedule/Congrès annuel de la Société canadienne de génie civil 2018, horaire complet; DM33, 2018 p. DM33.1-DM33.7  Open Access |
| Links | Online - En ligne (PDF, 266 KB)
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| Image |  |
| Year | 2018 |
| Alt Series | Natural Resources Canada, Contribution Series 20190584 |
| Publisher | Canadian Society of Civil Engineering |
| Meeting | Canadian Society for Civil Engineering Annual Conferrence 2018 / Congrès annuel de la Société canadienne de génie civil 2018; Fredericton, NB; CA; June 13-16, 2018 |
| Document | Web site |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf |
| Program | Public Safety Geoscience Quantitative risk assessment project |
| Released | 2018 06 01 |
| Abstract | In earthquake prone regions, the evaluation of seismic impacts on bridges is crucial to mitigation, emergency and recovery planning for highway networks. The degree of bridge damage determines the cost
and time required for repairs and the level of post-earthquake functionality of the bridge determined by its capacity to carry traffic flow. The various losses of bridge functionality induce reduction or disruption of the transportation network,
increase costs due to detour or reduced traffic flow and, what is most important, restrict access to emergency routes. This paper presents a framework for development and implementation of seismic vulnerability of highway networks. The proposed
framework consists of the following successive models: hazard, exposure, damage and impact. The seismic hazard model generates spatial distribution of the shaking intensity for earthquake scenarios in terms of ground motion intensity measure (IM);
the exposure model provides a database of bridge classes broadly defined with respect to their static and dynamic properties; the damage model assesses seismic performance of bridge classes in the network applying respective fragility functions
represented as probabilistic relationships between the IMs and the simulated degree of expected damage; whereas the impact model evaluates the post-earthquake traffic-carrying capacity of the highway network based on the predicted damage including
repair costs of bridges, road-closures and inspection priority. A case study of application of the proposed framework is presented for damage assessment of a hypothetical bridge network in Quebec City subjected to a magnitude M6 seismic scenario.
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| GEOSCAN ID | 321908 |
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