Sustainability-Informed Bridge Ranking under Scour Based on Transportation Network Performance and Multiattribute Utility
Publication: Journal of Bridge Engineering
Volume 23, Issue 10
Abstract
Flooding and the resultant scour damage to bridges may lead to immense economic losses and significant social and environmental impacts. Currently, bridge management decisions are developed on a bridge-by-bridge basis to prevent bridge failure due to scour, i.e., these decisions are made irrespective of other bridges in the regional transportation network. Because bridge managers are often responsible for the management of several bridge networks, it is essential to develop a framework that considers the bridge performance at the network level to aid making rational bridge management strategies. Furthermore, the economic, social, and environmental impacts dictate the need to develop a sustainability-informed bridge management framework at the network level. The objective of this paper is to develop a sustainability-informed bridge ranking approach for a network of bridges vulnerable to scour using multiattribute utility theory (MAUT) and transportation network analysis. The individual performance of bridges and the impact of bridge failure on the network are systematically integrated into the proposed sustainability assessment methodology. The proposed utility-based approach is applied to an existing highway bridge network located in Camden County, New Jersey. It is shown that the proposed approach can provide an important guideline to bridge managers to prioritize their intervention actions for scour protection/prevention.
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Acknowledgments
The support by grants from (1) the National Science Foundation (NSF) Award CMMI-1537926; (2) the US Federal Highway Administration (FHWA) Cooperative Agreement Award DTFH61-07-H-00040; (3) the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA) Awards PITA XV and XVI; and (4) the US Office of Naval Research (ONR) Awards N00014-08-1-0188, N00014-12-1-0023, and N00014-16-1-2299 are gratefully acknowledged. Opinions presented in this paper are those of the authors and do not necessarily reflect the views of the sponsoring organizations.
References
AASHTO. 2012. AASHTO LRFD bridge design specifications. Washington, DC: AASHTO.
Adey, B., R. Hajdin, and E. Brühwiler. 2003. “Supply and demand system approach to development of bridge management strategies.” J. Infrastruct. Syst. 9 (3): 117–131. https://doi.org/10.1061/(ASCE)1076-0342(2003)9:3(117).
Agrawal, A. K., M. A. Khan, and Z. Yi. 2007. Handbook of scour countermeasures designs. Final Rep. Washington, DC: US DOT.
Akgül, F., and D. M. Frangopol. 2003. “Rating and reliability of existing bridges in a network.” J. Bridge Eng. 8 (6): 383–392.
Arneson, L. A., L. W. Zevenbergen, P. F. Lagasse, and P. E. Clopper. 2012. Evaluating scour at bridges. FHWA-HIF-12003. Washington, DC: Federal Highway Administration.
Bell, M. G., and Y. Iida. 1997. Transportation network analysis. Chichester, UK: Wiley.
Bocchini, P., and D. M. Frangopol. 2011. “Generalized bridge network performance analysis with correlation and time-variant reliability.” Struct. Saf. 33 (2): 155–164. https://doi.org/10.1016/j.strusafe.2011.02.002.
Bolduc, L., P. Gardoni, and J. Briaud. 2008. “Probability of exceedance estimates for scour depth around bridge piers.” J. Geotech. Geoenviron. Eng. 134 (2): 175–184. https://doi.org/10.1061/(ASCE)1090-0241(2008)134:2(175).
Briaud, J., P. Gardoni, and C. Yao. 2014. “Statistical, risk, and reliability analyses of bridge scour.” J. Geotech. Geoenviron. Eng. 140 (2): 04013011. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000989.
Brilon, W., J. Geistefeldt, and H. Zurlinden. 2007. “Implementing the concept of reliability for highway capacity analysis.” Transp. Res. Rec. 2027 (1): 1–8. https://doi.org/10.3141/2027-01.
Brundtland, H. 1987. Our common future. Oxford, UK: Oxford University Press.
Cha, E. J., and B. R. Ellingwood. 2012. “Risk-averse decision-making for civil infrastructure exposed to low-probability, high-consequence events.” Reliab. Eng. Syst. Saf. 104 (Aug): 27–35. https://doi.org/10.1016/j.ress.2012.04.002.
Decò, A., and D. M. Frangopol. 2011. “Risk assessment of highway bridges under multiple hazards.” J. Risk Res. 14 (9): 1057–1089. https://doi.org/10.1080/13669877.2011.571789.
Dong, Y., D. M. Frangopol, and D. Saydam. 2013. “Time-variant sustainability assessment of seismically vulnerable bridges subjected to multiple hazards.” Earthquake Eng. Struct. Dyn. 42 (10): 1451–1467. https://doi.org/10.1002/eqe.2281.
Dong, Y., D. M. Frangopol, and D. Saydam. 2014. “Sustainability of highway bridge networks under seismic hazard.” J. Earthquake Eng. 18 (1): 41–66. https://doi.org/10.1080/13632469.2013.841600.
Ettema, R., T. Nakato, and M. Muste. 2010. Estimation of scour depth at bridge abutments. NCHRP 24-20. Washington, DC: Transportation Research Board.
FEMA. 2017. “FEMA flood map service center.” Accessed June 15, 2017. https://msc.fema.gov/portal#.
FHWA (Federal Highway Administration). 1992. “National Bridge Inventory (NBI).” Accessed July 1, 2017. https://www.fhwa.dot.gov/bridge/nbi.cfm.
FHWA (Federal Highway Administration). 1995. Recording and coding guide for the structure inventory and appraisal of the nation’s bridges. FHWA-PD-96-001. Washington, DC: FHWA.
FHWA (Federal Highway Administration). 2000. “Census transportation planning products.” Accessed June 15, 2017. http://www.fhwa.dot.gov/planning/census_issues/ctpp/.
Florida DOT. 2014. Bridge costs. Transportation Costs Rep. Tallahassee, FL: Florida DOT.
Frangopol, D. M. 2011. “Life-cycle performance, management, and optimization of structural systems under uncertainty: Accomplishments and challenges.” Struct. Infrastruct. Eng. 7 (6): 389–413.
Frangopol, D. M. 2018. Structures and infrastructure systems: Life-cycle performance, management, and optimization. New York: Routledge.
Frangopol, D. M., and M. Liu. 2007. “Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost.” Struct. Infrastruct. Eng. 3 (1): 29–41. https://doi.org/10.1080/15732470500253164.
Froehlich, D. C. 1989. “Abutment scour prediction.” Presentation. Washington, DC: Transportation Research Board.
Gallivan, F., J. Ang-Olson, and A. Papson. 2010. Greenhouse gas mitigation measures for transportation construction, maintenance, and operations activities. Washington, DC: AASHTO Standing Committee on the Environment.
Howard, R. A., and J. E. Matheson. 1989. Readings on the principles and applications of decision analysis. Menlo Park, CA: Strategic Decision Group.
Interagency Advisory Committee on Water Data. 1982. Guidelines for Determining Flood Flow Frequency. Bulletin 17B, 17–19. Reston, VA: US Dept. of the Interior, Geological Survey, Office of Water Data Coordination.
Johnson, P., and D. Dock. 1998. “Probabilistic bridge scour estimates.” J. Hydraul. Eng. 124 (7): 750–754. https://doi.org/10.1061/(ASCE)0733-9429(1998)124:7(750).
Keeney, R. L., and H. Raiffa. 1993. Decisions with multiple objectives: Preferences and value trade-offs. Cambridge, UK: Cambridge University Press.
Lagasse, P. F., M. Ghosn, P. A. Johnson, L. W. Zevenbergen, and P. E. Clopper. 2013. Risk-based approach for bridge scour prediction. Final Rep. NCHRP Project 24-34. Washington, DC: National Cooperative Highway Research Program, Transportation Research Board.
Laursen, E. M. 1980. Predicting scour at bridge piers and abutments. General Rep. No. 3. Phoenix: Arizona DOT.
Lee, W. K., and C. Y. Lin. 2008. “Developing a sustainability evaluation system in Taiwan to support infrastructure investment decisions.” Int. J. Sustainable Transp. 2 (3): 194–212. https://doi.org/10.1080/15568310701517406.
Liu, M., and D. M. Frangopol. 2005. “Bridge annual maintenance prioritization under uncertainty by multiobjective combinatorial optimization.” Comput. Aided Civil and Infrastruct. Eng. 20 (5): 343–353.
Melville, B. 1997. “Pier and abutment scour: Integrated approach.” J. Hydraul. Eng. 123 (2): 125–136. https://doi.org/10.1061/(ASCE)0733-9429(1997)123:2(125).
Melville, B. W., and S. E. Coleman. 2000. Bridge scour. Highlands Ranch, CO: Water Resources Publications.
Mondoro, A., and D. M. Frangopol. 2018. “Risk-based cost-benefit analysis for the retrofit of bridges exposed to extreme hydrologic events considering multiple failure modes.” Eng. Struct. 159 (Mar): 310–319. https://doi.org/10.1016/j.engstruct.2017.12.029.
Mondoro, A., D. Frangopol, and M. Soliman. 2017. “Optimal risk-based management of coastal bridges vulnerable to hurricanes.” J. Infrastruct. Syst. 23 (3): 04016046. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000346.
New Jersey Motor Vehicle Commission. 2014. The New Jersey driver manual. Jersey City, NJ: New Jersey Motor Vehicle Commission.
Okabe, A., B. Boots, K. Sugihara, and S. N. Chiu. 1992. Spatial tessellations: Concepts and applications of Voronoi diagrams. New York: Wiley.
Padgett, J., and C. Tapia. 2013. “Sustainability of natural hazard risk mitigation: Life cycle analysis of environmental indicators for bridge infrastructure.” J. Infrastruct. Syst. 19 (4): 395–408. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000138.
Patriksson, M. 2015. The traffic assignment problem: Models and methods. New York: Dover Publications.
Richardson, E. V., and S. R. Davis. 2001. Evaluating scour at bridges. Washington, DC: Federal Highway Administration.
Sabatino, S., D. M. Frangopol, and Y. Dong. 2015. “Sustainability-informed maintenance optimization of highway bridges considering multi-attribute utility and risk attitude.” Eng. Struct. 102 (Nov): 310–321. https://doi.org/10.1016/j.engstruct.2015.07.030.
Sabatino, S., D. M. Frangopol, and Y. Dong. 2016. “Life cycle utility-informed maintenance planning based on lifetime functions: Optimum balancing of cost, failure consequences and performance benefit.” Struct. Infrastruct. Eng. 12 (7): 830–847. https://doi.org/10.1080/15732479.2015.1064968.
Santos, A., N. McGuckin, H. Y. Nakamoto, D. Gray, and S. Liss. 2009. Summary of travel trends: 2009 National household travel survey. FHWA-PL-11-022. Washington, DC: Federal Highway Administration.
Stein, S., G. Young, R. Trent, and D. Pearson. 1999. “Prioritizing scour vulnerable bridges using risk.” J. Infrastruct. Syst. 5 (3): 95–101. https://doi.org/10.1061/(ASCE)1076-0342(1999)5:3(95).
Stewart, T. J. 1996. “Robustness of additive value function methods in MCDM.” J. Multi-Criteria Decis. Anal. 5 (4): 301–309. https://doi.org/10.1002/(SICI)1099-1360(199612)5:4%3C301::AID-MCDA120%3E3.0.CO;2-Q.
Ukkusuri, S. V., and W. F. Yushimito. 2009. “A methodology to assess the criticality of highway transportation networks.” J. Transp. Secur. 2 (1–2): 29–46. https://doi.org/10.1007/s12198-009-0025-4.
USBOPR. (US Bureau of Public Roads). 1964. Traffic assignment manual. Washington, DC: US Dept. of Commerce, USBOPR.
USGS. 2017. “National water information system.” USGS. Accessed June 15, 2017. https://waterdata.usgs.gov/nj/nwis/current/?type=flow.
Wardhana, K., and F. Hadipriono. 2003. “Analysis of recent bridge failures in the United States.” J. Perform. Constr. Facil. 17 (3): 144–150. https://doi.org/10.1061/(ASCE)0887-3828(2003)17:3(144).
Yadollahi, M., R. Ansari, M. Z. Abd Majid, and C. H. Yih. 2015. “A multi-criteria analysis for bridge sustainability assessment: A case study of Penang Second Bridge, Malaysia.” Struct. Infrastruct. Eng. 11 (5): 638–654. https://doi.org/10.1080/15732479.2014.893002.
Yang, D. Y., and D. M. Frangopol. 2017. “Risk-based bridge ranking considering transportation network performance.” In Proc., 12th Int. Conf. on Structural Safety and Reliability (ICOSSAR 2017), edited by C. Bucher, B. R. Ellingwood, and D. M. Frangopol, 358–366. Vienna, Austria: TU Verlag Vienna.
Yang, D. Y., and D. M. Frangopol. 2018a. “Bridging the gap between sustainability and resilience of civil infrastructure using lifetime resilience.” Chap. 23 in Handbook of sustainable and resilient infrastructure, edited by P. Gardoni. Abingdon, UK and New York: Routledge.
Yang, D. Y., and D. M. Frangopol. 2018b. “Risk-informed bridge ranking at project and network levels.” J. Infrastruct. Syst. 24 (3): 04018018. https://doi.org/10.1061/(asce)is.1943-555x.0000430.
Yanmaz, A. M., and T. Celebi. 2004. “A reliability model for bridge abutment scour.” Turk. J. Eng. Environ. Sci. 28 (31): 67–83.
Zhou, Y., S. Banerjee, and M. Shinozuka. 2010. “Socio-economic effect of seismic retrofit of bridges for highway transportation networks: A pilot study.” Struct. Infrastruct. Eng. 6 (1–2): 145–157. https://doi.org/10.1080/15732470802663862.
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Published In
Journal of Bridge Engineering
Volume 23 • Issue 10 • October 2018
Copyright
© 2018 American Society of Civil Engineers.
History
Received: Oct 16, 2017
Accepted: May 3, 2018
Published online: Aug 8, 2018
Published in print: Oct 1, 2018
Discussion open until: Jan 8, 2019
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