Scenario-based earthquake damage assessment of highway bridge networks

Advances in Bridge Engineering
Ahmad Abo El Ezz1, Azarm Farzam1, Hamza Fezai2, Marie‐José Nollet1
1École de Technologie Supérieure, Université du Québec, 1100, rue Notre-Dame Ouest, Montréal, Québec, H3C 1K3, Canada
2SNC-Lavalin, 455 boul. René-Lévesque Ouest, Montréal, Québec, H2Z 1Z3, Canada

Tóm tắt

AbstractIn 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 including disruption of transportation network, increased costs due to reduction of traffic flow and restricted access to emergency routes. The article presents the methodological development and implementation of an interactive web application for rapid geospatial assessment and visualisation of earthquake damage scenarios of municipal highway bridge networks based on open access datasets. The proposed framework consists of the following successive models: hazard, inventory, damage, and impact. The seismic hazard model generates spatial distribution of the shaking intensity for earthquake scenarios in terms of ground motion intensity measure using ground motion prediction equations based on seismic hazard model for Eastern Canada. The shaking intensities are then modified with local site amplification factors based on the Canadian highway bridge design code values. The inventory model provides a database of existing bridges based on open-access data which are then classified according to their seismic vulnerability. The damage model assesses seismic performance of classes of bridges by applying respective fragility functions represented as probabilistic relationships between the intensity measure and the degree of expected damage. The impact model evaluates the post-earthquake traffic-carrying capacity of the highway network based on the predicted damage including repair cost as a percentage of replacement cost of bridges and inspection priority. The web-application is demonstrated with a bridge network in Quebec City including 117 bridges subjected to 180 earthquake scenarios. The proposed methodology is particularly useful to facilitate direct communication of potential impacts to emergency managers and city transport officials.

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Tài liệu tham khảo

Abo El Ezz A, Smirnoff A, Nastev M, Nollet MJ, McGrath H (2019) ER2-earthquake: interactive web-application for urban seismic risk assessment. Int J Disaster Risk Reduction 34:326–336

Acar, F. (2009). Rapid damage assessment of infrastructure components in the Central United States. Report no. 09-02. Mid-America earthquake center, University of Illinois at Urbana-Champaign, USA

ATC (1985) ATC-13: earthquake damage evaluation data for California. Applied Technology Council, Redwood City

Atkinson GM, Adams J (2013) Ground motion prediction equations for application to the 2015Canadian national seismic hazard maps. Can J Civ Eng 40(10):988–998

Basoz N, Mander J (1999) Enhancement on the Highway Transportation Lifeline Module in Hazus. National Institute of Building Sciences, Washington

Basöz NI, Kiremidjian AS, King SA, Law KH (1999) Statistical analysis of bridge damage data from the 1994 Northridge, CA, earthquake. Earthquake Spectra 15(1):25–54

CSA (2014) CAN/CSA-S6-14—Canadian highway bridge design code. Canadian Standards Association, Rexdale

Dukes JD (2013) Application of bridge specific fragility analysis in the seismic design process of bridges in California (Doctoral dissertation, Georgia Institute of Technology)

FEMA (2020) Multi-Hazard loss estimation methodology, earthquake model, HAZUS-MH MR1 technical manual. Federal Emergency Management Agency, Washington, D.C

Halchuk S, Allen TI, Adams J, Rogers GC (2014) Fifth generation seismic hazard model input files as proposed to produce values for the 2015 National Building Code of Canada. Geological Survey of Canada, Open File 7576:18

Leboeuf, D., Perret D., Nollet M-J., Lamarche L., Nastev M., and Parent M. (2013). Microzonage sismique des Villes de Québec-Ancienne-Lorette et Réserve indienne de Wendake (Catégories d'emplacement). Commission géologique du Canada, Dossier Public 6875, Échelle 1: 50,000, doi: https://doi.org/10.4095/292640

Lin KW, Turner LL, Wald D (2014) ShakeCast V3: an enhanced tool for post-earthquake response. Caltrans Division of Research, Innovation & System Information, Sacramento

McGuire RK (1995) Probabilistic seismic hazard analysis and design earthquakes: closing the loop. Bull Seismol Soc Am 85:1275–1284

McIntyre J, Gerin M, Leggett C (2015) Seismic design of bridges in British Columbia: ten-year review. 11th Canadian conference of earthquake engineering, Canadian Association of Earthquake Engineering, Victoria

MTQ (2017) Manuel d'inventaire des structures. Ministre de Transport du Québec

MTQ (2020) Inventaire et inspection des structures. Ministre de Transport du Québec https://www.transports.gouv.qc.ca/fr/projets-infrastructures/structures/Pages/inventaires-structures.aspx

Nastev M, Nollet MJ, Abo El Ezz A, Smirnoff A, Ploeger SK, McGrath H, Sawada M, Stefanakis E, Parent M (2017) Methods and tools for natural hazard risk analysis in eastern Canada: using knowledge to understand vulnerability and implement mitigation measures. Natural Hazards Rev 18(1):B4015002

Nielson BG (2005) Analytical fragility curves for highway bridges in moderate seismic zones. Doctoral dissertation, Georgia Institute of Technology, USA

NRCAN (2015). Seismic Hazard tools. Geological Survey of Canada, Natural Resources Canada. Website: https://earthquakescanada.nrcan.gc.ca/hazard-alea/interpolat/calc-en.php

Padgett JE, DesRoches R (2007) Bridge functionality relationships for improved seismic risk assessment of transportation networks. Earthquake Spectra 23(1):115–130

Padgett JE, DesRoches R, Nilsson E (2010) Regional seismic risk assessment of bridge network in Charleston, South Carolina. J Earthq Eng 14(6):918–933

Padgett JE, Nielson BG, DesRoches R (2008) Selection of optimal intensity measures in probabilistic seismic demand models of highway bridge portfolios. Earthquake Eng Structural Dynamics 37(5):711–725

PostgreSQL (2020). PostgreSQL global development group. Website: https://www.postgresql.org

PyPI (2020). The Python package index. Website: https://pypi.org/

Robinson TR, Rosser NJ, Densmore AL, Oven KJ, Shrestha SN, Guragain R (2018) Use of scenario ensembles for deriving seismic risk. Proc Natl Acad Sci 115(41):E9532–E9541

Shinozuka M, Feng MQ, Lee J, Naganuma T (2000) Statistical analysis of fragility curves. J Eng Mech 126(12):1224–1231

Tavares DH, Padgett JE, Paultre P (2012) Fragility curves of typical as-built highway bridges in eastern Canada. Eng Struct 31(40):107–118

Tsionis G, Fardis MN (2014) Fragility functions of road and railway bridges. Dans SYNER-G: typology definition and fragility functions for physical elements at seismic risk. Springer, pp 259–297

Wald DJ, Lin KW, Worden B, Turner L (2006) ShakeCast: facilitating the use of ShakeMap for post-earthquake decision-making and response within Caltrans and other critical lifeline communities. Fifth National Seismic Conference on bridges & highways, San Francisco

Werner S, Taylor C, Cho S, Lavoie JP, Huyck C, Eitzel C, Chung H, Eguchi R (2006) REDARS 2 methodology and software for seismic risk analysis of highway systems (technical manual). Multidisciplinary Center for Earthquake Engineering Research (MCEER), Oakland

Wotherspoon L, Bradshaw A, Green R, Wood C, Palermo A, Cubrinovski M, Bradley B (2011) Performance of bridges during the 2010 Darfield and 2011 Christchurch earthquakes. Seismol Res Lett 82(6):950–964

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Advances in Bridge Engineering

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