Bridge Seismic Retrofit Program Planning to Maximize Postearthquake Transportation Network Capacity
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Infrastructure Systems
Volume 18, Issue 2
Abstract
The bridge network, as part of the critical civil infrastructure, is susceptible to natural and man-made hazards. It is essential that the network retains its traffic-carrying capacity after a disastrous earthquake to ensure efficient evacuation of at-risk population to safe zones and timely dispatch of emergency response resources to the impacted area. Because of limited resources, it is important to prioritize bridge retrofit projects and manage disaster mitigation resources under a strategic budget plan. This paper proposes a methodology to find the optimal bridge retrofit program that aims to maximize the postdisaster network evacuation capacity. The uncertainties of earthquake intensity, bridge structural damage, and bridge traffic-carrying capacities are addressed by using a Monte Carlo simulation framework with established bridge fragility curves and damage-functionality relationships, and the effectiveness of preserving evacuation capacity is calculated on the basis of a network design model. The proposed methodological framework is demonstrated with the transportation network in Memphis, Tennessee, and numerical experiments show that the proposed framework solves the problem efficiently. The modeling framework can help transportation agencies maximize the effectiveness of investment. Emergency managers can also use the model to enhance preparedness and emergency response efficiency, which in turn improves the infrastructure systems’ resilience against extreme events.
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Acknowledgments
The first author was financially supported by the National Science Foundation under the Award Number EEC-9701785 through the Mid-America Earthquake (MAE) Center, and the Federal Emergency Management Agency (FEMA) through a grant from the U.S. Army Corps of Engineers (Army W9132T-06-2). The second author was financially supported by the Illinois Department of Transportation (IDOT) through the Illinois Center for Transportation (ICT) under Award ICT-R27-34, and the National Science Foundation under the Award CMMI-0748067. The support of these agencies is gratefully acknowledged.
References
Adachi, T., and Ellingwood, B. (2007). “Impact of infrastructure interdependency and spatial correlation of seismic intensities on performance assessment of a water distribution system.” Proc., 10th Int. Conf. on Applications of Statistics and Probability in Civil Eng. (ICASP10), Taylor and Francis, New York.
Ahuja, R. K., Magnanti, T. L., and Orlin, J. B. (1993). Network flows: Theory, algorithms, and applications, Prentice Hall, Upper Saddle River, NJ.
Anil, M., and Ozbay, K. (2007). “Impact of probabilistic road capacity constraints on the spatial distribution of hurricane evacuation shelter capacities.” Transportation Research Record 2022, Transportation Research Board, Washington, DC, 55–62.
Applied Technology Council (ATC). (1985). “Earthquake damage evaluation data for California.” (ATC-13), ATC, Redwood City, CA.
ASCE. (2009). “Report card for America’s infrastructure 2009.” 〈http://www.infrastructurereportcard.org/fact-sheet/bridges〉 (Jun. 5, 2009).
Basőz, N., and Kiremidjian, A. S. (1996). “Risk assessment for highway systems.” Rep. No. 118, John A. Blume Earthquake Engineering Center, Dept. of Civil Engineering, Stanford Univ., Stanford, CA.
Basőz, N., Kiremidjian, A. S., King, S. A., and Law, K. H. (1999). “Statistical analysis of bridge damage data from the 1994 Northridge, CA, Earthquake.” Earthquake SpectraEASPEF, 15(1), 25–54.
Boore, D. M. (2003). “Simulation of ground motion using the stochastic method.” Pure Appl. Geophys.PAGYAV, 160(3), 635–676.
Bureau of Transportation Statistics (BTS). (2005). “The 2002 commodity flow survey.” BTS 〈http://www.bts.gov/publications/commodity_flow_survey/index.html〉 (May 2, 2006).
Campbell, K. W. (1985). “Strong motion attenuation relations: A ten-year perspective.” Earthquake SpectraEASPEF, 1(4), 759–804.
Central United States Earthquake Consortium (CUSEC). (2000). “Earthquake vulnerability of transportation systems in the central United States.” CUSEC 〈http://cusec.org/publications/brochures/dotmonograph.pdf〉 (Jan. 16, 2008).
Chang, L., Elnashai, A. S., and Spencer, B. F. (2009). Modeling post-earthquake emergency travel demand, Asian-Pacific Network of Centers for Earthquake Engineering Research (ANCER) Workshop (CD-ROM), Mid-America Earthquake Center, Urbana, IL.
Chang, L., and Song, J. (2006). “Systematic treatment of uncertainty in consequence-based management of seismic regional losses.” MAE Center Report 〈https://www.ideals.uiuc.edu/handle/2142/5124〉 (Sep. 9, 2009).
Chang, S. E., and Nojima, N. (1998). “Measuring lifeline system performance: Highway transportation system in recent earthquakes.” The 6th National Earthquake Conf. on Earthquake Engineering, Paper No. 70, Earthquake Engineering Research Institute, Oakland, CA.
Chen, Y., and Tzeng, G. (1999). “A fuzzy multi-objective model for reconstructing the post-quake road-network by genetic algorithm.” Int. J. Fuzzy Syst., 1(2), 85–95.
Cornell, C. (1968). “Engineering seismic risk analysis.” Bull. Seismol. Soc. Am.BSSAAP, 58(5), 1583–1606.
Cramer, C. (2006). “Quantifying the uncertainty in the site amplifying modeling and its effects on site-specific seismic-hazard estimation in the Upper Mississippi Embayment and adjacent areas.” Bull. Seismol. Soc. Am.BSSAAP, 96(6), 2008–2020.
Dueñas-Osorio, L., and Vemuru, S. M. (2009). “Cascading failures in complex infrastructure systems.” Struct. Saf., 31(2), 157–167.
Edmonds, J., and Karp, R. M. (1972). “Theoretical improvements in algorithmic efficiency for network flow problems.” J. Assoc. Comput. Mach.JACOAH, 19(2), 248–264.
Eguchi, R. T., et al. (1998). “Direct economic losses in the Northridge earthquake: A three-year post-event perspective.” Earthquake SpectraEASPEF, 14(2), 245–264.
Elnashai, A. S., Cleveland, L. J., Jefferson, T., and Harrald, J. (2009). “Impact of earthquakes on the Central USA.” Mid-America Earthquake Center Rep. 09-03, Univ. of Illinois at Urbana-Champaign, Urbana, IL.
Fan, Y., and Liu, C. (2010). “Solving stochastic transportation network protection problem using the progressive hedging-based method.” Network Spatial Econ., 10(2), 193–208.
Fenves, S. J., and Law, K. H. (1979). “Expected flow in a transportation network.” Proc., 2nd U.S. National Conf. on Earthquake Engineering, Earthquake Engineering Research Institute, Berkeley, CA.
Fisher, M. L. (1981). “The Lagrangian relaxation method for solving integer programming problems.” Manage. Sci.MSCIAM, 27(1), 1–18.
Hwang, H., and Jaw, J. W. (1990). “Probabilistic damage analysis of structures.” J. Struct. Eng.JSENDH, 116(7), 1992–2007.
Jha, M. M.K., and Behruz, P. (2004). “Emergency evacuation planning with microscopic traffic simulation.” Transportation Research Record 1886, Transportation Research Board, Washington, DC, 40–80.
Kim, Y., Spencer, B. F., and Elnashai, A. S. (2008). “Seismic loss assessment and mitigation for critical urban infrastructure systems.” Rep. No. NSEL-007, Newmark Structural Engineering Laboratory, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL.
Kiremidjian, A. S., Moore, J. E., Fan, Y., Yazlali, O., Basőz, N., and Williams, M. (2007). “Seismic risk assessment of transportation network systems.” J. Earthquake Eng., 11(3), 371– 382.
Liu, C., Fan, Y., and Ordonez, F. (2009). “A two-stage stochastic programming model for transportation network protection.” Comput. Oper. Res.CMORAP, 36(5), 1582–1590.
Mackie, K. (2004). “Fragility based seismic decision making for highway overpass bridges.” Ph.D. thesis, Univ. of California, Berkeley, CA.
Murray-Tuite, P. M., and Mahmassani, H. S. (2004). “Methodology for determining vulnerable links in a transportation network.” Transportation Research Record 1882, Transportation Research Board, Washington, DC, 82–96.
National Research Council (NRC). (1995). Measuring and improving infrastructure performance, National Academy, Washington, DC.
National Research Council (NRC) Committee on Assessing the Costs of Natural Disasters. (1999). The impacts of natural disasters: A framework for loss estimation, National Academy, Washington, DC.
Nielson, B. G., and DesRoches, R. (2004). “Improved methodology for generation of analytical fragility curves for highway bridges.” Proc., 9th ASCE Specialty Conf. on Probabilistic Mech. and Struct. Reliability, ASCE, Reston, VA.
Nielson, B. G., and DesRoches, R. (2006a). “Effect of using PGA versus Sa on the uncertainty in probabilistic seismic demand models of highway bridges.” Proc., 8th National Conf. on Earthquake Engineering, Earthquake Engineering Research Institute, Oakland, CA.
Nielson, B. G., and DesRoches, R. (2006b). “Influence of modeling assumptions on the seismic response of multi-span simply supported steel girder bridges in moderate seismic zones.” Eng. Struct.ENSTDF, 28(8), 1083–1092.
Nilsson, E. M. (2008). “Seismic risk assessment of the transportation network of Charleston, SC.” M.Sc. thesis, Georgia Institute of Technology, Atlanta, GA.
Nojima, N. (1998). “Prioritization in upgrading seismic performance of road network based on system reliability analysis.” Proc., 3rd China-Japan-US Trilateral Symp. on Lifeline Earthquake Engineering, State Seismological Bureau, Beijing.
Nojima, N., and Sugito, M. (2000). “Simulation and evaluation of post-earthquake functional performance of transportation network.” Proc., 12th World Conf. on Earthquake Engineering (CD-ROM), Paper No. 1927, Earthquake Commission, Wellington, New Zealand.
Orlin, J. B. (1988). “A faster strongly polynomial minimum cost flow algorithm.” Proc. 20th Ann. ACM Symp. of the Theory of Computing, Association for Computing Machinery, New York, 377–387.
Padgett, J. E. (2006). “Seismic vulnerability assessment of retrofitted bridges using probabilistic methods.” Ph.D. thesis, Georgia Institute of Technology, Atlanta GA.
Padgett, J. E., and DesRoches, R. (2007). “Retrofitted bridge fragility analysis for typical classes of multi-span bridges.” Earthquake SpectraEASPEF, 23(1), 115–130.
Patidar, V., Labi, S., Sinha, K. C., and Thompson, P. (2007). “Multi-objective optimization for bridge management systems.” NCHRP Rep. 590, Transportation Research Board of the National Academies, Washington, D.C.
Peeta, S., and Ziliaskopoulos, A. K. (2001). “Foundations of dynamic traffic assignment: The past, the present and the future.” Network Spatial Econ., 1(3/4), 233–265.
Rix, G. J., and Fernandez, J. A. (2004). “Probabilistic ground motions for selected cities in the Upper Mississippi Embayment.” Georgia Institute of Technology, 〈www.ce.gatech.edu/research/mae_ground_motion/〉 (July 9, 2010).
Rojahn, C., Scawthorn, C., and Khater, M. (1992). “Transportation lifeline losses in large eastern earthquakes.” Lifeline earthquake engineering in the Central and Eastern U.S., New York.
Scawthorn, C., Lashkari, B., and Naseer, A. (1997). “What happened in Kobe and what if it happened here?.” Economic consequences of earthquakes: Preparing for the unexpected, Johns, B. G., ed., National Center for Earthquake Engineering Research, Buffalo, NY, 15–49.
Sen, S., Zhou, Z., and Huang, K. (2009). “Enhancements of two-stage stochastic decomposition.” Comput. Oper. Res.CMORAP, 36(8), 2434–2439.
Shinozuka, M., Murachi, Y., Dong, X., Zhou, Y., and Orlikowski, M. J. (2003). “Effect of seismic retrofit of bridges on transportation networks.” Research Progress and Accomplishments (2001-2003), Rep. No. MCEER-03-SP-01, Multidisciplinary Center for Earthquake Engineering Research (MCEER), Univ. of Buffalo, Buffalo, NY.
Theodoulou, G., and Wolshon, B. (2004). “Alternative methods to increase the effectiveness of freeway contraflow evacuation.” Transportation Research Record 1865, Transportation Research Board, Washington, DC, 48–56.
Tuydes, A., and Ziliaskopoulos, A. (2006). “Tabu-based heuristic approach for optimization of network evacuation contraflow.” Transportation Research Record 1964, Transportation Research Board, Washington, DC, 157–168.
USGS. (2006). “Earthquake hazard in the heart of the homeland (USGS Fact Sheet FS06-3125_5).” 〈http://pubs.usgs.gov/fs/2006/3125/pdf/FS06-3125_508.pdf〉 (Dec. 1, 2007).
Viswanath, K., and Peeta, S. (2003). “Multicommodity maximal covering network design problem for planning critical routes for earthquake response.” Transportation Research Record 1857, Transportation Research Board, Washington, DC, 1–10.
Weiner, E. (1987). Urban transportation planning in the United States: A historical overview, Praeger Publishers, New York.
Wen, Y. K., and Wu, C. L. (2001). “Uniform hazard ground motions for Mid-America cities.” Earthquake SpectraEASPEF, 17(2), 359–384.
Werner, S. D., et al. (2006). “REDARS 2: Methodology and software for seismic risk analysis of highway systems.” Special Rep. No. MCEER-06-SP08, MCEER, Univ. of Buffalo, Buffalo, NY.
Yamazaki, F., Hamada, T., Motoyama, H., and Yamauchi, H. (1999). “Earthquake damage assessment of expressway bridges in Japan.” Proc., 5th U.S. Conf. on Lifeline Earthquake Engineering, TCLEE Monograph No. 16, ASCE, Reston, VA.
Yin, Y., Lawphongpanich, S., and Lou, Y. (2008). “Estimating investment requirement for maintaining and improving highway systems.” Transp. Res. Part C, 16, 199–211.
Yin, Y., Madanat, S. M., and Lu, X. (2009). “Road improvement schemes for road networks under demand uncertainty.” Eur. J. Oper. Res.EJORDT, 198(2), 470–479.
Zhang, Y., Acero, G., Conte, J., Yang, Z., and Elgamal, A. (2004). “Seismic reliability assessment of a bridge-ground system.” Proc., 13th World Conf. on Earthquake Eng., Paper No. 2978, Mira Digital Publishing, St. Louis, MO.
Ziliaskpopoulos, A., and Peeta, S. (2002). “Foundations of dynamic traffic assignment: The past, the present and the future.” Proc., 81th Annual Meeting of TRB, Transportation Research Board, Washington, DC.
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Published In
Journal of Infrastructure Systems
Volume 18 • Issue 2 • June 2012
Pages: 75 - 88
Copyright
© 2012. American Society of Civil Engineers.
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Received: Jan 26, 2010
Accepted: Oct 6, 2011
Published online: May 15, 2012
Published in print: Jun 1, 2012
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