Bridge life-cycle performance and cost: analysis, prediction, optimisation and decision-makingFootnote

Based on the T.Y. Lin plenary lecture and the associated paper presented at the 8th International Conference on Bridge Maintenance, Safety and Management (IABMAS2016), Iguassu Falls, Paraná, Brazil, 26–30 June, 2016.

References

• AASHTO. (2015). LRFD bridge design specifications. (7th ed.). Washington, DC: American Association of State Highway & Transportation Officials.
   Google Scholar
• Achour, N., Miyajima, M., Kitaura, M., & Price, A. (2011). Earthquake-induced structural and nonstructural damage in hospital. Earthquake Spectra, 37, 617–634.10.1193/1.3604815
   Web of Science ®Google Scholar
• Adams, W.M. (2006). The future of sustainability: Re-thinking environment and development in the twenty-first century. Report of the IUCN Renowned Thinkers Meeting, 29–31 January 2006.
   Google Scholar
• Adey, B., Hajdin, R., & Brühwiler, E. (2003). Supply and Demand system approach to development of bridge management strategies. Journal of Infrastructure Systems, 9(3), 117–131.10.1061/(ASCE)1076-0342
   Google Scholar
• Akgül, F., & Frangopol, D.M. (2003). Rating and reliability of existing bridges in a network. Journal of Bridge Engineering, 8, 383–393.10.1061/(ASCE)1084-0702(2003)8:6(383)
   Web of Science ®Google Scholar
• Akgül, F., & Frangopol, D.M. (2004a). Computational platform for predicting lifetime system reliability profiles for different structure types in a network. Journal of Computing in Civil Engineering, 18, 92–104.10.1061/(ASCE)0887-3801(2004)18:2(92)
   Web of Science ®Google Scholar
• Akgül, F., & Frangopol, D.M. (2004b). Bridge rating and reliability correlation: Comprehensive study for different bridge types. Journal of Structural Engineering, 130, 1063–1074.10.1061/(ASCE)0733-9445(2004)130:7(1063)
   Web of Science ®Google Scholar
• Akiyama, M., Frangopol, D.M., Arai, M., & Koshimura, S. (2013). Reliability of bridges under tsunami hazards: Emphasis on the 2011 Tohoku-Oki earthquake. Earthquake Spectra, 29, S295–S314.10.1193/1.4000112
   Web of Science ®Google Scholar
• Akiyama, M., Frangopol, D.M., & Matsuzaki, H. (2011). Life-cycle reliability of RC bridge piers under seismic and airborne chloride hazards. Earthquake Engineering & Structural Dynamics, 40, 1671–1687.10.1002/eqe.v40.15
   Web of Science ®Google Scholar
• Akiyama, M., Frangopol, D.M., & Suzuki, M. (2012). Integration of the effects of airborne chlorides into reliability-based durability design of reinforced concrete structures in a marine environment. Structure and Infrastructure Engineering, 8, 125–134.10.1080/15732470903363313
   Web of Science ®Google Scholar
• Allison, I., Bindoff, N.L., Bindschadler, R.A., Cox, P.M., de Noblet, N., England, M.H., Francis, J.E., Gruber, N., Haywood, A.M., Karoly, D.J., Kaser, G., Le Quéré, C., Lenton, T.M., Mann, M.E., McNeil, B.I., Pitman, A.J., Rahmstorf, S., Rignot, E., Schellnhuber, H.J., Schneider, S.H., Sherwood, S.C., Somerville, R.C.J., Steffen, K., Steig, E.J., Visbeck, M., & Weaver, A.J. (2009). The copenhagen diagnosis: Updating the world on the latest climate science. Sydney: UNSW Climate Change Research Center.
   Google Scholar
• Ang, A.H.-S. (2011). Life-cycle considerations in risk informed decisions for design of civil infrastructures. Structure and Infrastructure Engineering, 7, 3–9.10.1080/15732471003588239
   Web of Science ®Google Scholar
• Ang, A.H.-S., & De Leon, D. (2005). Modeling and analysis of uncertainties for risk-informed decisions in infrastructures engineering. Structure and Infrastructure Engineering, 1, 19–31.10.1080/15732470412331289350
   Web of Science ®Google Scholar
• Ang, A.H.-S., & Tang, W.H. (1984). Probability concepts in engineering planning and design – Volume II – Decision, risk, and reliability. New York, NY: John Wiley & Sons.
   Google Scholar
• Ang, A.H.-S., & Tang, W.H. (2007). Probability concepts in engineering. (2nd ed.). New York, NY: Wiley.
   Google Scholar
• ASCE. (2013). Report card for America’s infrastructure. Reston, VA: American Society of Civil Engineers.
   Google Scholar
• Augusti, G., Ciampoli, M., & Frangopol, D.M. (1998). Optimal planning of retrofitting interventions on bridges in a highway network. Engineering Structures, 20, 933–939.10.1016/S0141-0296(97)00186-7
   Web of Science ®Google Scholar
• Barone, G., & Frangopol, D.M. (2013a). Hazard-based optimum lifetime inspection and repair planning for deteriorating structures. Journal of Structural Engineering, 139, 04013017.10.1061/(ASCE)ST.1943-541X.0000810
   Web of Science ®Google Scholar
• Barone, G., & Frangopol, D.M. (2013b). Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures. Reliability Engineering and System Safety, 123, 21–37.
   Web of Science ®Google Scholar
• Barone, G., & Frangopol, D.M. (2014a). Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost. Structural Safety, 48, 40–50.10.1016/j.strusafe.2014.02.002
   Web of Science ®Google Scholar
• Barone, G., & Frangopol, D.M. (2014b). Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures. Reliability Engineering & System Safety, 123, 21–37.10.1016/j.ress.2013.09.013
   Web of Science ®Google Scholar
• Bastidas-Arteaga, E., Bressolette, P.H., Chateauneuf, A., & Sánchez-Silva, M. (2009). Probabilistic lifetime assessment of RC structures under coupled corrosion-fatigue deterioration processes. Structural Safety, 31, 84–96.10.1016/j.strusafe.2008.04.001
   Web of Science ®Google Scholar
• Bertero, R., & Bertero, V. (1999). Redundancy in earthquake-resistant design. Journal of Structural Engineering, 125, 81–88.10.1061/(ASCE)0733-9445(1999)125:1(81)
   Web of Science ®Google Scholar
• Biondini, F., Camnasio, E., & Palermo, A. (2014). Lifetime seismic performance of concrete bridges exposed to corrosion. Structure and Infrastructure Engineering, 10, 880–900.10.1080/15732479.2012.761248
   Web of Science ®Google Scholar
• Biondini, F., Camnasio, E., & Titi, A. (2015). Seismic resilience of concrete structures under corrosion. Earthquake Engineering and Structural Dynamics, 44, 2445–2466.10.1002/eqe.v44.14
   Web of Science ®Google Scholar
• Biondini, F., Frangopol, D.M., & Malerba, P.G. (2008). Uncertainty effects on lifetime structural performance of cable stayed bridges. Probabilistic Engineering Mechanics, 23, 509–522.10.1016/j.probengmech.2008.01.008
   Web of Science ®Google Scholar
• Biondini, F., & Frangopol, D. (2016). Life-cycle performance of deteriorating structural systems under uncertainty: Review. Journal of Structural Engineering, 142(9), F4016001, 1–17.
   Web of Science ®Google Scholar
• Bocchini, P., & Frangopol, D.M. (2012). Optimal resilience- and cost-based postdisaster intervention prioritization for bridges along a highway segment. Journal of Bridge Engineering, 17, 117–129.10.1061/(ASCE)BE.1943-5592.0000201
   Web of Science ®Google Scholar
• Bocchini, P., & Frangopol, D.M. (2013). Connectivity-based optimal scheduling for maintenance of bridge networks. Journal of Engineering Mechanics, 139, 170–769.
   Web of Science ®Google Scholar
• Bocchini, P., Frangopol, D.M., Ummenhofer, T., & Zinke, T. (2014). Resilience and sustainability of the civil infrastructure: Towards a unified approach. Journal of Infrastructure Systems, 20, 0414004.
   Web of Science ®Google Scholar
• Briaud, J.L., Ting, F.C.K., Chen, H.C., Gudavalli, R., Perugu, S., & Wei, G. (1999). SRICOS: Prediction of scour rate in cohesive soils at bridge piers. Journal of Geotechnical and Geoenvironmental Engineering, 125, 237–246.10.1061/(ASCE)1090-0241(1999)125:4(237)
   Web of Science ®Google Scholar
• Briaud, J.L., Chen, H.C., Li, Y., Nurtjahyo, P., & Wang, J. (2004). Pier and contraction scour in cohesive soils ( NCHRP Report 516). Washington, DC: National Cooperative Highway Research Program.
   Google Scholar
• Bruneau, M., Chang, S.E., Eguchi, R.T., Lee, G.C., O’Rourke, T.D., Reinhorn, A.M., Shinozuka, M., Tierney, K., Wallace, W.A., & Winterfeldt, D.V. (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 19, 733–752.10.1193/1.1623497
   Web of Science ®Google Scholar
• Bucher, C., & Frangopol, D.M. (2006). Optimization of lifetime maintenance strategies for deteriorating structures considering probabilities of violating safety, condition, and cost thresholds. Probabilistic Engineering Mechanics, 21(1), 1–8.10.1016/j.probengmech.2005.06.002
   Web of Science ®Google Scholar
• Budelmann, H., & Hariri, K. (2006). A structural monitoring system for RC/PC structures. In H.-N. Cho, D.M. Frangopol, & A.H.-S. Ang (Eds.), Life-cycle cost and performance of civil infrastructure systems (pp. 3–17). London: Taylor & Francis.
   Google Scholar
• Budelmann, H., Holst, A., & Wichmann, H. (2014). Non-destructive measurement toolkit for corrosion monitoring and fracture detection of bridge tendons. Structure and Infrastructure Engineering, 10, 492–507.10.1080/15732479.2013.769009
   Web of Science ®Google Scholar
• Bush, S., Omenzetter, P., Henning, T., & McCarten, P. (2013). A risk and criticality-based approach to bridge performance data collection and monitoring. Structure and Infrastructure Engineering, 9, 329–339.10.1080/15732479.2011.638143
   Web of Science ®Google Scholar
• Campbell, K.W., & Bozorgnia, Y. (2008). NGA ground motion model for the geometric mean horizontal component of PGA, PGV, PGD and 5% damped linear elastic response spectra for periods ranging from 0.01 to 10 s. Earthquake Spectra, 24, 139–171.10.1193/1.2857546
   Web of Science ®Google Scholar
• Catbas, F.N., Susoy, M., & Frangopol, D.M. (2008). Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data. Engineering Structures, 30, 2347–2359.10.1016/j.engstruct.2008.01.013
   Web of Science ®Google Scholar
• Cavaco, E.S., Casas, J.R., Neves, L.A.C., & Huespe, A.E. (2013). Robustness of corroded reinforced concrete structures – A structural performance approach. Structure and Infrastructure Engineering, 9, 42–58.
   Web of Science ®Google Scholar
• Cesare, M., Santamarina, J.C., Turkstra, C.J., & Vanmarcke, E. (1993). Risk‐based Bridge management. Journal of Transportation Engineering, 119, 742–750.10.1061/(ASCE)0733-947X(1993)119:5(742)
   Web of Science ®Google Scholar
• Chang, S.E., & Shinozuka, M. (1996). Life-cycle cost analysis with natural hazard risk. Journal of Infrastructure Systems, 2, 118–126.10.1061/(ASCE)1076-0342(1996)2:3(118)
   Google Scholar
• Chang, S.E., Shinozuka, M., & Moore, J.E. (2000). Probabilistic earthquake scenarios: extending risk analysis methodologies to spatially distributed systems. Earthquake Spectra, 16, 557–572.10.1193/1.1586127
   Google Scholar
• Chao, S., & Loh, C. (2013). Application of singular spectrum analysis to structural monitoring and damage diagnosis of bridges. Structure and Infrastructure Engineering, 10, 708–727.
   Web of Science ®Google Scholar
• Chen, N.-Z., Sun, H.-H., & Guedes Soares, C. (2003). Reliability analysis of a ship hull in composite material. Composite Structures, 62, 59–66.10.1016/S0263-8223(03)00084-9
   Web of Science ®Google Scholar
• Church, J.A., & White, N.J. (2006). A 20th century acceleration in global sea-level rise. Geophysics Research Letters, 33, L01602.
   Web of Science ®Google Scholar
• Church, J.A., & White, N.J. (2011). Sea-level rise from the late 19th to the early 21st century. Surveys in Geophysics, 32, 585–602.10.1007/s10712-011-9119-1
   Web of Science ®Google Scholar
• CIB. (2001). Risk assessment and risk communication in civil engineering. TG 32 (Report 259). Rotterdam: Council for Research and Innovation in Building and Construction.
   Google Scholar
• Cimellaro, G.P., Reinhorn, A.M., & Bruneau, M. (2010). Framework for analytical quantification of disaster resilience. Engineering Structures, 32, 3639–3649.10.1016/j.engstruct.2010.08.008
   Web of Science ®Google Scholar
• Cimellaro, G.P., Reinhorn, A.M., & Bruneau, M. (2011). Performance-based metamodel for healthcare facilities. Earthquake Engineering and Structural Dynamics, 40, 1197–1217.10.1002/eqe.v40.11
   Web of Science ®Google Scholar
• Cohen, H., Fu, G., Dekelbab, W., & Moses, F. (2003). Predicting truck load spectra under weight limit changes and its application to steel bridge fatigue assessment. Journal of Bridge Engineering, 8, 312–322.10.1061/(ASCE)1084-0702(2003)8:5(312)
   Web of Science ®Google Scholar
• Committee on Adaptation to a Changing Climate. (2015). In J.R. Olsen (Ed.). Adapting infrastructure and civil engineering practice to a changing climate. Reston, VA: American Society of Civil Engineers. doi:10.1061/9780784479193
   Google Scholar
• Deb, K. (2001). Multi-objective optimization using evolutionary algorithms. Chichester: John Wiley and Sons.
   Google Scholar
• Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182–197.10.1109/4235.996017
   Web of Science ®Google Scholar
• Decò, A., & Frangopol, D.M. (2011). Risk assessment of highway bridges under multiple hazards. Journal of Risk Research, 14, 1057–1089.10.1080/13669877.2011.571789
   Web of Science ®Google Scholar
• Decò, A., & Frangopol, D.M. (2013). Life-cycle risk assessment of spatially distributed aging bridges under seismic and traffic hazards. Earthquake Spectra, 29, 127–153.10.1193/1.4000094
   Web of Science ®Google Scholar
• Decò, A., Bocchini, P., & Frangopol, D.M. (2013). A probabilistic approach for the prediction of seismic resilience of bridges. Earthquake Engineering and Structural Dynamics, 42, 1469–1487.10.1002/eqe.v42.10
   Web of Science ®Google Scholar
• Ditlevsen, O., & Bjerager, P. (1986). Methods of structural systems reliability. Structural Safety, 3, 195–229.10.1016/0167-4730(86)90004-4
   Web of Science ®Google Scholar
• Dong, Y., & Frangopol, D.M. (2015). Risk and resilience assessment of bridges under mainshock and aftershocks incorporating uncertainties. Engineering Structures, 83, 198–208.10.1016/j.engstruct.2014.10.050
   Web of Science ®Google Scholar
• Dong, Y., & Frangopol, D.M. (2016a). Incorporation of risk and updating in inspection of fatigue-sensitive details of ship structures. International Journal of Fatigue, 82, 676–688.10.1016/j.ijfatigue.2015.09.026
   Web of Science ®Google Scholar
• Dong, Y., & Frangopol, D.M. (2016b). Probabilistic time-dependent multihazard life-cycle assessment and resilience of bridges considering climate change. Journal of Performance of Constructed Facilities, 30, 04016034, 1–12.
   Web of Science ®Google Scholar
• Dong, Y., & Frangopol, D.M. (2016c). Performance-based seismic assessment of conventional and base-isolated steel buildings including environmental impact and resilience. Earthquake Engineering and Structural Dynamics, 45, 739–756.10.1002/eqe.v45.5
   Web of Science ®Google Scholar
• Dong, Y., & Frangopol, D.M. (2017). Probabilistic assessment of an interdependent healthcare–bridge network system under seismic hazard. Structure and Infrastructure Engineering, 13, 160–170.10.1080/15732479.2016.1198399
   Web of Science ®Google Scholar
• Dong, Y., Frangopol, D.M., & Sabatino, S. (2015). Optimizing bridge network retrofit planning based on cost-benefit evaluation and multi-attribute utility associated with sustainability. Earthquake Spectra, 31, 2255–2280.10.1193/012214EQS015M
   Web of Science ®Google Scholar
• Dong, Y., Frangopol, D.M., & Saydam, D. (2013). Time-variant sustainability assessment of seismically vulnerable bridges subjected to multiple hazards. Earthquake Engineering and Structural Dynamics, 42, 1451–1467.10.1002/eqe.v42.10
   Web of Science ®Google Scholar
• Dong, Y., Frangopol, D.M., & Saydam, D. (2014a). Sustainability of highway bridge networks under seismic hazard. Journal of Earthquake Engineering, 18, 41–66.10.1080/13632469.2013.841600
   Web of Science ®Google Scholar
• Dong, Y., Frangopol, D.M., & Saydam, D. (2014b). Pre-earthquake multi-objective probabilistic retrofit optimization of bridge networks based on sustainability. Journal of Bridge Engineering, 19, 04014004.
   Web of Science ®Google Scholar
• Dong, Y., Frangopol, D.M., & Sabatino, S. (2014c). Risk-informed decision making for disaster recovery incorporating sustainability and resilience. Proceedings of the 3rd International Conference on Urban Disaster Reduction (3ICUDR). Boulder, Colorado: EERI. September 28–October 1, 2014, 4 pages.
   Google Scholar
• Dong, Y., Frangopol, D.M., & Sabatino, S. (2016). A decision support system for mission-based ship routing considering multiple performance criteria. Reliability Engineering & System Safety, 150, 190–201.10.1016/j.ress.2016.02.002
   Web of Science ®Google Scholar
• Dueñas-Osorio, L., Craig, James I., Goodno, Barry J., & Goodno, B. (2007). Seismic response of critical interdependent networks. Earthquake Engineering & Structural Dynamics, 36, 285–306.10.1002/(ISSN)1096-9845
   Web of Science ®Google Scholar
• Elkington, J. (2004). Enter the triple bottom line. In A. Henriques & J. Richardson (Eds.), The triple bottom line: does it all add up (pp. 1–16) Sterling, VA: Earthscan.
   Google Scholar
• Ellingwood, B.R. (1998). Issues related to structural aging in probabilistic risk assessment of nuclear power plants. Reliability Engineering and System Safety, 62, 171–183.10.1016/S0951-8320(98)00018-0
   Web of Science ®Google Scholar
• Ellingwood, B.R. (2005). Risk-informed condition assessment of civil infrastructure: State of practice and research issues. Structure and Infrastructure Engineering, 1, 7–18.10.1080/15732470412331289341
   Web of Science ®Google Scholar
• Ellingwood, B.R. (2006). Mitigating risk from abnormal loads and progressive collapse. Journal of Performance of Constructed Facilities, 20, 315–323.10.1061/(ASCE)0887-3828(2006)20:4(315)
   Web of Science ®Google Scholar
• Ellingwood, B.R., & Frangopol, D.M. (2016). Introduction to the state of the art collection: Risk-based lifecycle performance of structural systems. Journal of Structural Engineering, 142(9), F2016001, 1.10.1061/(ASCE)ST.1943-541X.0001522
   Web of Science ®Google Scholar
• Ellingwood, B.R., & Mori, Y. (1993). Probabilistic methods for condition assessment and life prediction of concrete structures in nuclear power plants. Nuclear Engineering and Design, 142, 155–166.10.1016/0029-5493(93)90199-J
   Web of Science ®Google Scholar
• Enright, M., & Frangopol, D.M. (2000). RELTSYS: A computer program for life prediction of deteriorating systems. Structural Engineering and Mechanics, 9, 557–568.10.12989/sem.2000.9.6.557
   Web of Science ®Google Scholar
• Enright, M.P., & Frangopol, D.M. (1999a). Reliability-based condition assessment of deteriorating concrete bridges considering load redistribution. Structural Safety, 21, 159–195.10.1016/S0167-4730(99)00015-6
   Web of Science ®Google Scholar
• Enright, M.P., & Frangopol, D.M. (1999b). Condition prediction of deteriorating concrete bridges using bayesian updating. Journal of Structural Engineering, 125, 1118–1125.10.1061/(ASCE)0733-9445(1999)125:10(1118)
   Web of Science ®Google Scholar
• Estes, A.C., & Frangopol, D.M. (1999). Repair optimization of highway bridges using system reliability approach. Journal of Structural Engineering, 125, 766–775.10.1061/(ASCE)0733-9445(1999)125:7(766)
   Web of Science ®Google Scholar
• Estes, A.C., & Frangopol, D.M. (2001). Bridge lifetime system reliability under multiple limit states. Journal of Bridge Engineering, 6, 523–528.10.1061/(ASCE)1084-0702(2001)6:6(523)
   Google Scholar
• Estes, A.C., & Frangopol, D.M. (2005). Life-cycle evaluation and condition assessment of structures. In W-F. Chen and E. M. Lui (Eds.), Chapter 36 Structural Engineering Handbook (2nd ed., pp. pp. 36–51). CRC Press.
   Google Scholar
• Estes, A.C., Frangopol, D.M., & Foltz, S.D. (2004). Updating reliability of steel miter gates on locks and dams using visual inspection results. Engineering Structures, 26, 319–333.10.1016/j.engstruct.2003.10.007
   Web of Science ®Google Scholar
• Ferris, E., & Petz, D. (2011). The year that shook the rich: A review of natural disaster in 2011. Project on Internal Displacement: The Brookings Institution-London School of Economics.
   Google Scholar
• FHWA. (2013). Deficient bridges by state and highway system 2013. Washington, DC: Federal Highway Administration. Retrieved from http://www.fhwa.dot.gov/bridge/nbi/no10/defbr13.cfm
   Google Scholar
• Franchin, P. (2014). A computational framework for systemic seismic risk analysis of civil infrastructural systems. Geotechnical, Geological and Earthquake Engineering, 31, 23–56.10.1007/978-94-017-8835-9
   Google Scholar
• Frangopol, D.M. (1985). Sensitivity of reliability‐based optimum design. Journal of Structural Engineering, 111, 1703–1721.10.1061/(ASCE)0733-9445(1985)111:8(1703)
   Web of Science ®Google Scholar
• Frangopol, D.M. (1997). Application of life-cycle reliability based criteria to bridge assessment and design. In P.C. Das (Ed.), Safety of bridges (pp. 151–157). London: Thomas Telford.
   Google Scholar
• Frangopol, D.M. (1998). A probabilistic model based on eight random variables for preventive maintenance of bridges. Presented at the progress meeting on optimum maintenance strategies for different bridge types. London: Highways Agency.
   Google Scholar
• Frangopol, D.M. (1999). Life-cycle cost analysis for bridges. In D.M. Frangopol (Ed.), Chapter 9 Bridge Safety and Reliability (pp. 210–236). Reston: ASCE.
   Google Scholar
• Frangopol, D.M. (2011). Life-cycle performance, management, and optimization of structural systems under uncertainty: accomplishments and challenges. Structure and Infrastructure Engineering, 7, 389–413.10.1080/15732471003594427
   Web of Science ®Google Scholar
• Frangopol, D.M., & Bocchini, P. (2011, April 14–16). Resilience as optimization criterion for the rehabilitation of bridges belonging to a transportation network subject to earthquake. Proceedings of SEI-ASCE 2011 Structures Congress, Las Vegas, NV.
   Google Scholar
• Frangopol, D.M., & Bocchini, P. (2012). Bridge network performance, maintenance and optimisation under uncertainty: accomplishments and challenges. Structure and Infrastructure Engineering, 8, 341–356.10.1080/15732479.2011.563089
   Web of Science ®Google Scholar
• Frangopol, D.M., & Curley, J.P. (1987). Effects of damage and redundancy on structural reliability. Journal of Structural Engineering, 113, 1533–1549.10.1061/(ASCE)0733-9445(1987)113:7(1533)
   Web of Science ®Google Scholar
• Frangopol, D.M., & Estes, A.C. (1997). Lifetime bridge maintenance strategies based on system reliability. Structural Engineering International, 7, 193–198.10.2749/101686697780494662
   Google Scholar
• Frangopol, D.M., & Furuta, H. (Eds.). (2001). Life-cycle cost analysis and design of civil infrastructure systems. Reston: ASCE.
   Google Scholar
• Frangopol, D.M., Kallen, M.-J., & van Noortwijk, J. (2004). Probabilistic models for life-cycle performance of deteriorating structures: Review and future directions. Progress in Structural Engineering and Materials, 6, 197–212.10.1002/(ISSN)1528-2716
   Google Scholar
• Frangopol, D.M., Kim, S. (2011). Service life, reliability and maintenance of civil structures. In L.S. Lee & V. Karbari (Eds.), Chapter 5 Service Life Estimation and Extension of Civil Engineering Structures (pp. 145–178). Cambridge: Woodhead Publishing Ltd.
   Google Scholar
• Frangopol, D.M., Kim, S. (2014a). Life-cycle analysis and optimization. In W-F. Chen & L. Duan, (Eds.), Chapter 18 Bridge engineering handbook – Second edition, Vol. 5 Construction and Maintenance (pp. 537–566). Boca Raton: CRC Press.
   Google Scholar
• Frangopol, D.M., Kim, S. (2014b). Bridge health monitoring. In W-F. Chen & L. Duan, (Eds.), Chapter 10 in Bridge engineering handbook – Second edition, Vol. 5 Construction and maintenance (pp. 247–268). Boca Raton: CRC Press.
   Google Scholar
• Frangopol, D.M., Kong, J.S., & Gharaibeh, E.S. (2001). Reliability-based life-cycle management of highway bridges. Journal of Computing in Civil Engineering, 15, 27–34.10.1061/(ASCE)0887-3801(2001)15:1(27)
   Web of Science ®Google Scholar
• Frangopol, D.M., Lin, K.-Y., & Estes, A.C. (1997). Life-cycle cost design of deteriorating structures. Journal of Structural Engineering, 123, 1390–1401.10.1061/(ASCE)0733-9445(1997)123:10(1390)
   Web of Science ®Google Scholar
• Frangopol, D.M., & Liu, M. (2007). Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost. Structure and Infrastructure Engineering, 3, 29–41.10.1080/15732470500253164
   Web of Science ®Google Scholar
• Frangopol, D.M., & Messervey, T.B. (2007). Lifetime oriented assessment and design optimization concepts under uncertainty: Role of structural health monitoring. In F. Stangenberg, O.T. Bruhns, D. Hartmann, & G. Meschke (Eds.), Lifetime oriented design concepts (pp. 133–145). Freiburg: Aedificatio Publishers.
   Google Scholar
• Frangopol, D.M., & Messervey, T.B. (2008, October 24–25). Life-cycle cost and performance prediction: Role of structural health monitoring. Proceedings of the International Workshop on Frontier Technologies for Infrastructures Engineering. In S-S. Chen & A.H-S. Ang (Eds.) Taipei: Taiwan Building Technology Center, National TaiwanUniversity of Science and Technology, pp. 323–342.
   Google Scholar
• Frangopol, D.M., & Nakib, R. (1991). Redundancy in highway bridges. Engineering Journal, 28, 45–50.
   Google Scholar
• Frangopol, D.M., & Okasha, N.M. (2009). Lifetime-oriented multi-objective optimization of structural maintenance considering system reliability, redundancy and life-cycle cost using GA. Structural Safety, 31, 460–474.
   Web of Science ®Google Scholar
• Frangopol, D.M., & Saydam, D. (2014). Structural performance indicators for bridges. In W.-F. Chen & L. Duan (eds.), Chapter 9 Bridge engineering handbook – Second edition, Vol. 1 Fundamentals (pp. 185-205). Boca Raton: CRC Press.
   Google Scholar
• Frangopol, D.M., & Soliman, M. (2013). Application of genetic algorithms to the life-cycle management optimization of civil and marine infrastructure systems. In Y. Tsompanakis, P. Iványi, & B.H.V. Topping (Eds.), Chapter 6 Civil and structural engineering computational methods (pp. 117–128). Stirlingshire: Saxe-Coburg Publications.
   Google Scholar
• Frangopol, D.M., & Soliman, M. (2015). Application of soft computing techniques in life-cycle optimization of civil and marine structures. In J. Kruis, Y. Tsompanakis, & B.H.V. Topping (Eds.), Chapter 2 Computational techniques for civil and structural engineering (pp. 43–58). Stirlingshire: Saxe-Coburg Publications.
   Google Scholar
• Frangopol, D.M., & Soliman, M. (2016). Life-cycle of structural systems: Recent achievements and future directions. Structure and Infrastructure Engineering, 12(1), 1–20.10.1080/15732479.2014.999794
   Web of Science ®Google Scholar
• Frangopol, D.M., Strauss, A., & Kim, S. (2008). Bridge reliability assessment based on monitoring. Journal of Bridge Engineering, 13, 258–270.10.1061/(ASCE)1084-0702(2008)13:3(258)
   Web of Science ®Google Scholar
• Garbatov, Y., & Guedes Soares, C.G. (2001). Cost and reliability based strategies for fatigue maintenance planning of floating structures. Reliability Engineering & System Safety, 73, 293–301.10.1016/S0951-8320(01)00059-X
   Web of Science ®Google Scholar
• Ghosn, M. (2000). Development of truck weight regulations using bridge reliability model. Journal of Bridge Engineering, 5, 293–303.10.1061/(ASCE)1084-0702(2000)5:4(293)
   Google Scholar
• Ghosn, M., Dueñas-Osorio, L., Frangopol, D. M., McAllister, T., Bocchini, P., Manuel, L., Biondini, F., Hernandez, S., and Tsiatas, G. (2016a). Performance indicators for structural systems and infrastructure networks. Journal of Structural Engineering, F4016003, 142, 1–18.
   Google Scholar
• Ghosn, M., Frangopol, D. M., McAllister, T., Shah, M., Diniz, S., Ellingwood, B., Manuel, L., Biondini, F., Catbas, N., Strauss, A., & Zhao, X. (2016b). Reliability-based performance indicators for structural members. Journal of Structural Engineering, 142(9), f4016002, 1–13.
   Web of Science ®Google Scholar
• Ghosn, M., & Frangopol, D.M. (2007). Redundancy of structures: A retrospective. In D.M. Frangopol, M. Kawatani, & C.-W. Kim (Eds.), Reliability and optimization of structural systems: Assessment, design, and life-cycle performance (pp. 91–100). London: Taylor & Francis Group. ISBN: 978-0-415-40655-0.
   Google Scholar
• Ghosn, M., & Moses, F. (1998). Redundancy in highway bridge superstructures (National Academy Press, National Cooperative Highway Research Program, NCHRP Report 406), Transportation Research Board.
   Google Scholar
• Ghosn, M., Moses, F., & Wang, J. (2003). Design of highway bridges for extreme events (nchrp trb report 489), Washington, DC.
   Google Scholar
• Glaser, S.D., Li, H., Wang, M.L., Ou, J., & Lynch, J. (2007). Sensor technology innovation for the advancement of structural health monitoring: A strategic program of US-China research for the next decade. Smart Structures and Systems, 3, 221–244.10.12989/sss.2007.3.2.221
   Web of Science ®Google Scholar
• Goldberg, D.E. (1989). Genetic algorithms in search, optimization and machine learning. MA: Addison-Wesley.
   Google Scholar
• Gul, M., & Catbas, F.N. (2011). Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering. Journal of Sound and Vibration, 330, 1196–1210.10.1016/j.jsv.2010.09.024
   Web of Science ®Google Scholar
• Hawk, H., & Small, E.P. (1998). The BRIDGIT bridge management system. Structural Engineering International, 8, 309–314.10.2749/101686698780488712
   Google Scholar
• Hendawi, S., & Frangopol, D.M. (1994). System reliability and redundancy in structural design and evaluation. Structural Safety, 16, 47–71.10.1016/0167-4730(94)00027-N
   Web of Science ®Google Scholar
• Huang, W., & Garbatov, Y. (2013). Fatigue reliability assessment of a complex welded structure subjected to multiple cracks. Engineering Structures, 56, 868–879.10.1016/j.engstruct.2013.06.011
   Web of Science ®Google Scholar
• Huston, D., Cui, J., Burns, D., & Hurley, D. (2011). Concrete bridge deck condition assessment with automated multisensor techniques. Structure and Infrastructure Engineering, 7, 613–623.10.1080/15732479.2010.501542
   Web of Science ®Google Scholar
• Imai, K., & Frangopol, D.M. (2002). System reliability of suspension bridges. Structural Safety, 24, 219–259, Elsevier.10.1016/S0167-4730(02)00027-9
   Web of Science ®Google Scholar
• IPCC. (2007). Fourth assessment report of the intergovernmental panel in climate change. Intergovernmental Panel on Climate Change, UK: Cambridge University Press.
   Google Scholar
• IPCC. (2014). Climate Change 2014, Synthesis Report, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the IPCC, Intergovernmental Panel on Climate Change, Geneva, Switzerland.
   Google Scholar
• Jiménez, A., Rı́os-Insua, S., & Mateos, A. (2003). A decision support system for multiattribute utility evaluation based on imprecise assignments. Decision Support Systems, 36, 65–79.10.1016/S0167-9236(02)00137-9
   Web of Science ®Google Scholar
• Keeney, R.L., & Raiffa, H. (1993). Decisions with multiple objectives. Cambridge: Cambridge University Press.10.1017/CBO9781139174084
   Google Scholar
• Kendall, A., Keoleian, G.A., & Helfand, G.E. (2008). Integrated life-cycle assessment and life-cycle cost analysis model for concrete bridge deck applications. Journal of Infrastructure Systems, 14, 214–222.10.1061/(ASCE)1076-0342(2008)14:3(214)
   Web of Science ®Google Scholar
• Kim, S., & Frangopol, D.M. (2011a). Cost-based optimum scheduling of inspection and monitoring for fatigue-sensitive structures under uncertainty. Journal of Structural Engineering, 137, 1319–1331.10.1061/(ASCE)ST.1943-541X.0000365
   Web of Science ®Google Scholar
• Kim, S., & Frangopol, D.M. (2011b). Inspection and monitoring planning for RC structures based on minimization of expected damage detection delay. Probabilistic Engineering Mechanics, 26, 308–320.10.1016/j.probengmech.2010.08.009
   Web of Science ®Google Scholar
• Kim, S., & Frangopol, D.M. (2017). Efficient multi-objective optimisation of probabilistic service life management. Structure and Infrastructure Engineering, 13, 147–159.10.1080/15732479.2016.1198405
   Web of Science ®Google Scholar
• Klinzmann, C., Schnetgöke, R., & Hosser, D. (2006). A framework for reliability-based system assessment based on structural health monitoring. Proceedings of the 3rd European Workshop on Structural Health Monitoring, Granada, Spain.
   Google Scholar
• Ko, C., Pan, N., & Chiou, C. (2013). Web-based radio frequency identification facility management systems. Structure and Infrastructure Engineering, 9, 465–480.10.1080/15732479.2010.546804
   Web of Science ®Google Scholar
• Koh, H.-M., & Frangopol, D.M. (Eds.) (2008). Bridge maintenance, safety, management, health monitoring and informatics, Set of Book and CD-ROM. Boca Raton, London, New York, Leiden: A Balkema Book and CD-ROM, CRC Press, Taylor & Francis Group.
   Google Scholar
• Kong, J.S., Ababneh, A.N., Frangopol, D.M., & Xi, Y. (2002). Reliability analysis of chloride penetration in saturated concrete. Probabilistic Engineering Mechanics, 17, 305–315.10.1016/S0266-8920(02)00014-0
   Web of Science ®Google Scholar
• Kong, J.S., & Frangopol, D.M. (2003). Life-cycle reliability-based maintenance cost optimization of deteriorating structures with emphasis on bridges. Journal of Structural Engineering, 129, 818–828.10.1061/(ASCE)0733-9445(2003)129:6(818)
   Web of Science ®Google Scholar
• Kong, J.S., & Frangopol, D.M. (2005). Sensitivity analysis in reliability-based lifetime performance prediction using simulation. Journal of Materials in Civil Engineering, 17, 296–306.10.1061/(ASCE)0899-1561(2005)17:3(296)
   Web of Science ®Google Scholar
• Kwok, R., & Rothrock, D.A. (2009). Decline in Arctic sea ice thickness from submarine and ICESAT records: 1958-2008. Geophysical Research Letters, 36, L15501.
   Web of Science ®Google Scholar
• Kwon, K., & Frangopol, D.M. (2010). Bridge fatigue reliability assessment using probability density functions of equivalent stress range based on field monitoring data. International Journal of Fatigue, 32, 1221–1232.10.1016/j.ijfatigue.2010.01.002
   Web of Science ®Google Scholar
• Kwon, K., & Frangopol, D.M. (2011). Bridge fatigue assessment and management using reliability-based crack growth and probability of detection models. Probabilistic Engineering Mechanics, 26, 471–480.10.1016/j.probengmech.2011.02.001
   Web of Science ®Google Scholar
• Lagasse, P.F., Clopper, P.E., Pagán-Ortiz, J.E., Zevenbergen, L.W., Arneson, L.A., Schall, J.D., & Girar, L.G. (2009). Bridge scour and stream instability countermeasures: Experience, selection, and design guidance – third edition. Hydraul. Des. Ser. No. 23, FHWA Pub. No. FHWA-NHI-09-111, FHWANHI-09-112, Federal Highway Administration, Washington, DC.
   Google Scholar
• Leemis, L.M. (1995). Reliability, probabilistic models and statistical methods. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Levitus, S., Antonov, J.I., Boyer, T.P., Locarnini, R.A., Garcia, H.E., & Mishonov, A.V. (2009). Global ocean heat content 1955–2008 in light of recently revealed instrumentation problems. Geophysics Research Letters, 36, L07608.
   Web of Science ®Google Scholar
• Lim, S., Akiyama, M., & Frangopol, D.M. (2016). Assessment of the structural performance of corrosion-affected RC members based on experimental study and probabilistic modeling. Engineering Structures, 127, 189–205.10.1016/j.engstruct.2016.08.040
   Web of Science ®Google Scholar
• Liu, C., Hammad, A., & Itoh, Y. (1997). Multiobjective optimization of bridge deck rehabilitation using a genetic algorithm. Computer-Aided Civil and Infrastructure Engineering, 12, 431–443.10.1111/mice.1997.12.issue-6
   Google Scholar
• Liu, D., Ghosn, M., Moses, F., & Neuenhoffer, A. (2001). Redundancy in highway bridge substructures (National Cooperative Highway Research Program, NCHRP Report 458), Washington, DC: Transportation Research Board, National Academy Press.
   Google Scholar
• Liu, M., & Frangopol, D.M. (2005a). Time-dependent bridge network reliability: Novel approach. Journal of Structural Engineering, 131, 329–337.10.1061/(ASCE)0733-9445(2005)131:2(329)
   Web of Science ®Google Scholar
• Liu, M., & Frangopol, D.M. (2005b). Bridge annual maintenance prioritization under uncertainty by multiobjective combinatorial optimization. Computer Aided Civil and Infrastructure Engineering, 20, 343–353.10.1111/mice.2005.20.issue-5
   Web of Science ®Google Scholar
• Liu, M., & Frangopol, D.M. (2006a). Optimizing bridge network maintenance management under uncertainty with conflicting criteria: Life-cycle maintenance, failure, and user costs. Journal of Structural Engineering, 132, 1835–1845.10.1061/(ASCE)0733-9445(2006)132:11(1835)
   Web of Science ®Google Scholar
• Liu, M., & Frangopol, D.M. (2006b). Probability-based bridge network performance evaluation. Journal of Bridge Engineering, 11, 633–641.10.1061/(ASCE)1084-0702(2006)11:5(633)
   Web of Science ®Google Scholar
• Lounis, Z. (2004). Risk-based maintenance optimization of bridge structures. Retrieved from http://irc.nrc-cnrc.gc.ca/fulltext/nrcc47063/nrcc47063.pdf
   Google Scholar
• Lounis, Z., & McAllister, T. (2016). Risk-based decision making for sustainable and resilient infrastructure systems. Journal of Structural Engineering, 142(9), F4016005, 1–14.
   Google Scholar
• Lundie, S., Peters, G.M., & Beavis, P.C. (2004). Life cycle assessment for sustainable metropolitan water systems planning. Environmental Science and Technology, 38, 3465–3473.10.1021/es034206m
   PubMed Web of Science ®Google Scholar
• Maekawa, K., & Fujiyama, C. (2013). Crack water interaction and fatigue life assessment of rc bridge decks. Poromechanics V. Proceedings of the Fifth Biot Conference on Poromechanics, pp. 2280–2289.
   Google Scholar
• Maljaars, J., & Vrouwenvelder, A.C.W.M. (2014). Probabilistic fatigue life updating accounting for inspections of multiple critical locations. International Journal of Fatigue, 68, 24–37.10.1016/j.ijfatigue.2014.06.011
   Web of Science ®Google Scholar
• Marsh, P.S., & Frangopol, D.M. (2007). Lifetime multiobjective optimization of cost and spacing of corrosion rate sensors embedded in a deteriorating reinforced concrete bridge deck. Journal of Structural Engineering, 133, 777–787.10.1061/(ASCE)0733-9445(2007)133:6(777)
   Web of Science ®Google Scholar
• Marsh, P.S., & Frangopol, D.M. (2008). Reinforced concrete bridge deck reliability model incorporating temporal and spatial variations of probabilistic corrosion rate sensor data. Reliability Engineering and System Safety, 93, 394–409.10.1016/j.ress.2006.12.011
   Web of Science ®Google Scholar
• Melville, B.W. (1997). Pier and abutment scour: Integrated approach. Journal of Hydraulic Engineering, 123, 125–136.10.1061/(ASCE)0733-9429(1997)123:2(125)
   Web of Science ®Google Scholar
• Miyamoto, A., Kawamura, K., & Nakamura, H. (2000). Bridge management system and maintenance optimization for existing bridges. Computer-Aided Civil and Infrastructure Engineering, 15, 45–55.10.1111/mice.2000.15.issue-1
   Web of Science ®Google Scholar
• Moan, T., & Song, R. (2000). Implications of inspection updating on system fatigue reliability of offshore structures. Journal of Offshore Mechanics and Arctic Engineering, 122, 173–180.10.1115/1.1286601
   Web of Science ®Google Scholar
• Morcous, G., & Lounis, Z. (2005). Maintenance optimization of infrastructure networks using genetic algorithms. Automation in Construction, 14, 129–142.10.1016/j.autcon.2004.08.014
   Web of Science ®Google Scholar
• Morcous, G., Lounis, Z., & Cho, Y. (2010). An integrated system for bridge management using probabilistic and mechanistic deterioration models: Application to bridge decks. KSCE Journal of Civil Engineering, 14, 527–537.10.1007/s12205-010-0527-4
   Web of Science ®Google Scholar
• Mori, Y., & Ellingwood, B.R. (1993). Reliability‐based service‐life assessment of aging concrete structures. Journal of Structural Engineering, 119, 1600–1621.10.1061/(ASCE)0733-9445(1993)119:5(1600)
   Web of Science ®Google Scholar
• Moses, F. (1982). System reliability developments in structural engineering. Structural Safety, 1, 3–13.10.1016/0167-4730(82)90011-X
   Web of Science ®Google Scholar
• Myrtle, R.C., Masri, S.E., Nigbor, R.L., & Caffrey, J.P. (2005). Classification and prioritization of essential systems in hospitals under extreme events. Earthquake Spectra, 21, 779–802.10.1193/1.1988338
   Web of Science ®Google Scholar
• Nagy, W., De Backer, H., & Van Bogaert, P. (2013). Fracture mechanics as an improvement of fatigue life assessment orthotropic bridge decks. Research and application: Structural engineering, mechanics and computation. Proceeding of 5th International Conference on Structure Engineering, Mechanics and Computation, SEMC 2013, pp. 579–584.
   Google Scholar
• NASA. (2015). Climate change: How do we know? National Aeronautics and Space Administration. Retrieved October 9, 2015, from http://climate.nasa.gov/evidence/
   Google Scholar
• Neves, L.C., & Frangopol, D.M. (2005). Condition, safety and cost profiles for deteriorating structures with emphasis on bridges. Reliability Engineering & System Safety, 89, 185–198.10.1016/j.ress.2004.08.018
   Web of Science ®Google Scholar
• Neves, L.C., Frangopol, D.M., & Cruz, P.J.S. (2004). Cost of life extension of deteriorating structures under reliability-based maintenance. Computers & Structures, 82, 1077–1089.10.1016/j.compstruc.2004.03.012
   Web of Science ®Google Scholar
• Neves, L.C., Frangopol, D.M., & Cruz, P.J. (2006). Probabilistic lifetime-oriented multiobjective optimization of bridge maintenance: Single maintenance type. Journal of Structural Engineering, 132, 991–1005.10.1061/(ASCE)0733-9445(2006)132:6(991)
   Web of Science ®Google Scholar
• Newhook, J.P., & Edalatmanesh, R. (2013). Integrating reliability and structural health monitoring in the fatigue assessment of concrete bridge decks. Structure and Infrastructure Engineering, 9, 619–633.10.1080/15732479.2011.601745
   Web of Science ®Google Scholar
• O’Connor, A., & O’Brien, E.J. (2005). Traffic load modelling and factors influencing the accuracy of predicted extremes. Canadian Journal of Civil Engineering, 32, 270–278, NRC Research Press. 10.1139/l04-092
   Web of Science ®Google Scholar
• Okasha, N.M., & Frangopol, D.M. (2009). Lifetime-oriented multi-objective optimization of structural maintenance considering system reliability, redundancy and life-cycle cost using GA. Structural Safety, 31, 460–474.10.1016/j.strusafe.2009.06.005
   Web of Science ®Google Scholar
• Okasha, N.M., & Frangopol, D.M. (2010a). Time-variant redundancy of structural systems. Structure and Infrastructure Engineering, 6, 279–301.10.1080/15732470802664514
   Web of Science ®Google Scholar
• Okasha, N.M., & Frangopol, D.M. (2010b). Novel Approach for multicriteria optimization of life-cycle preventive and essential maintenance of deteriorating structures. Journal of Structural Engineering, 136, 1009–1022.10.1061/(ASCE)ST.1943-541X.0000198
   Web of Science ®Google Scholar
• Onoufriou, T., & Frangopol, D.M. (2002). Reliability-based inspection optimization of complex structures: a brief retrospective. Computers & Structures, 80, 1133–1144.10.1016/S0045-7949(02)00071-8
   Web of Science ®Google Scholar
• Paliou, C., Shinozuka, M., & Chen, Y.-N. (1990). Reliability and redundancy of offshore structures. Journal of Engineering Mechanics, 116, 359–378.10.1061/(ASCE)0733-9399(1990)116:2(359)
   Web of Science ®Google Scholar
• Peterson, T.C., & Baringer, M.O. (Eds). (2009). State of the climate in 2008. Special Supplement to the Bulletin of the American Meteorological Society, 90, S17–S18.
   Google Scholar
• Pipinato, A. (2014, July 7–11). Orthotropic steel deck design to extend the lifetime of plate and box girder bridge and viaducts. IABMAS 2014 – Bridge Maintenance, Safety, Management, Resilience and Sustainability – Proceedings of the Seventh International Conference on Bridge Maintenance, Safety and Management. Shangai, China.
   Google Scholar
• Polyak, L., Alley, R.B., Andrews, J.T., Brigham-Grette, J., Cronin, T.M., Darby, D.A., Dyke, A.S., Fitzpatrick, J.J., Funder, S., Holland, M., Jennings, A.E., Miller, G.H., O’Regan, M., Savelle, J., Serreze, M., St. John, K., White, J.W.C., & Wolff, E. (2010). History of sea ice in the arctic. Quaternary Science Reviews, 29, 1757–1778.
   Google Scholar
• PPD. (2013). Critical infrastructure security and resilience. Presidential Policy Directive PPD 21. Retrieved February 12, from http://www.whitehouse.gov/the-pressoffice/2013/02/12/presidential-policy-directive-critical-infrastructure-security-and-resil
   Google Scholar
• Rashedi, R., & Moses, F. (1988). Identification of failure modes in system reliability. Journal of Structural Engineering, 114, 292–313.10.1061/(ASCE)0733-9445(1988)114:2(292)
   Web of Science ®Google Scholar
• Rausand, M., & Hoyland, A. (2004). System reliability theory: Models and statistical methods. (2nd ed.). Hoboken, NJ: Wiley Series in Probability and Statistics.
   Google Scholar
• Richardson, E.V., & Davis, S.R. (2001). Evaluating scour at bridges, 4th ed. FHWA NHI 01- 001 (HEC 18), Washington, DC: Federal Highway Administration.
   Google Scholar
• Ross, S.M. (2000). Introduction to probability models. (7th ed.). Academic Press.
   Google Scholar
• Sabatino, S., Frangopol, D.M., & Dong, Y. (2015a). Sustainability-informed maintenance optimization of highway bridges considering multi-attribute utility and risk attitude. Engineering Structures, 102, 310–321.10.1016/j.engstruct.2015.07.030
   Web of Science ®Google Scholar
• Sabatino, S., Frangopol, D.M., & Dong, Y. (2015b). Life-cycle utility-informed maintenance planning based on lifetime functions: Optimum balancing of cost, failure consequences, and performance benefit. Structure and Infrastructure Engineering, 12, 830–847.
   Web of Science ®Google Scholar
• Sánchez-Silva, M., Frangopol, D., Padgett, J., & Soliman, M. (2016). Maintenance and operation of infrastructure systems: review. Journal of Structural Engineering, 142(9), F4016004, 1–16.
   Google Scholar
• Saydam, D., & Frangopol, D.M. (2011). Time-dependent performance indicators of damaged bridge superstructures. Engineering Structures, 33, 2458–2471.10.1016/j.engstruct.2011.04.019
   Web of Science ®Google Scholar
• Saydam, D., & Frangopol, D.M. (2014). Risk-based maintenance optimization of deteriorating bridges. Journal of Structural Engineering, 141(4), 04014120, 1–10.
   Google Scholar
• Saydam, D., Frangopol, D.M., & Dong, Y. (2013). Assessment of risk using bridge element condition ratings. Journal of Infrastructure Systems, 19, 252–265.10.1061/(ASCE)IS.1943-555X.0000131
   Web of Science ®Google Scholar
• Schwartz, H.G., Meyer, M., Burbank, C.J., Kuby, M., Oster, Posey, C.J., Russo, E.J. & Rypinski, A. (2014). Ch. 5: Transportation. Climate Change Impacts in the United States: The Third National Climate Assessment. Global Change Research Program, 130–149.
   Google Scholar
• Shinozuka, M. (2008, October 24–25). Resilience and sustainability of infrastructure systems. In S-S. Chen & A.H-S. Ang (Eds.), Proceedings of the International Workshop on Frontier Technologies for Infrastructures Engineering, Taipei: Taiwan Building Technology Center, National Taiwan University of Science and Technology, pp. 225–244.
   Google Scholar
• Shiraki, N., Shinozuka, M., Moore, J.E., Chang, S.E., Kameda, H., & Tanaka, S. (2007). System risk curves: Probabilistic performance scenarios for highway networks subject to earthquake damage. Journal of Infrastructure Systems, 13, 43–54.10.1061/(ASCE)1076-0342(2007)13:1(43)
   Web of Science ®Google Scholar
• Soliman, S.M., & Frangopol, D.M. (2014). Life-cycle management of fatigue-sensitive structures integrating inspection information. Journal of Infrastructure Systems, 20, 04014001.10.1061/(ASCE)IS.1943-555X.0000169
   Web of Science ®Google Scholar
• Soliman, M., Frangopol, D.M., & Kim, S. (2013). Probabilistic optimum inspection planning of steel bridges with multiple fatigue sensitive details. Engineering Structures, 49, 996–1006.10.1016/j.engstruct.2012.12.044
   Web of Science ®Google Scholar
• Sousa, H., Sousa, C., Neves, A.S., Bento, J., & Figueiras, J. (2013). Long-term monitoring and assessment of a precast continuous viaduct. Structure and Infrastructure Engineering, 9, 777–793.10.1080/15732479.2011.614260
   Web of Science ®Google Scholar
• Stamatopoulos, G.N. (2013). Fatigue assessment and strengthening measures to upgrade a steel railway bridge. Journal of Constructional Steel Research, 80, 346–354.10.1016/j.jcsr.2012.10.004
   Web of Science ®Google Scholar
• Stein, S., & Sedmera, K. (2006). Risk-based management guidelines for scour at bridges with unknown foundations. Final Report for NCHRP Project, 24–25.
   Google Scholar
• Stein, S.M., Young, G.K., Trent, R.E., & Pearson, D.R. (1999). Prioritizing scour vulnerable bridges using risk. Journal of Infrastructure Systems, 5, 95–101.10.1061/(ASCE)1076-0342(1999)5:3(95)
   Google Scholar
• Stewart, M.G. (2012). Spatial and time-dependent reliability modelling of corrosion damage, safety and maintenance for reinforced concrete structures. Structure and Infrastructure Engineering, 8, 607–619.10.1080/15732479.2010.505379
   Web of Science ®Google Scholar
• Stewart, M.G., & Rosowsky, D.V. (1998). Time-dependent reliability of deteriorating reinforced concrete bridge decks. Structural Safety, 20, 91–109.10.1016/S0167-4730(97)00021-0
   Web of Science ®Google Scholar
• Stewart, M.G., Wang, X., & Nguyen, M.N. (2011). Climate change impact and risks of concrete infrastructure deterioration. Engineering Structures, 33, 1326–1337.10.1016/j.engstruct.2011.01.010
   Web of Science ®Google Scholar
• Stewart, M.G., Wang, X., & Nguyen, M.N. (2012). Climate change adaptation for corrosion control of concrete infrastructure. Structural Safety, 35, 29–39.10.1016/j.strusafe.2011.10.002
   Web of Science ®Google Scholar
• Sumi, Y. (1998). Fatigue crack propagation and computational remaining life assessment of ship structures. Journal of Marine Science and Technology, 3, 102–112.10.1007/BF02492565
   Google Scholar
• Thanapol, Y., Akiyama, M., & Frangopol, D.M. (2016). Updating the seismic reliability of existing RC structures in a marine environment by incorporating the spatial steel corrosion distribution: Application to bridge piers. Journal of Bridge Engineering, 21(7), 04016031, 1–17.
   Google Scholar
• Thoft-Christensen, P., & Murotsu, Y. (1986). Application of structural systems reliability theory. Berlin: Springer.10.1007/978-3-642-82764-8
   Google Scholar
• Thompson, P.D., Small, E.P., Johnson, M., & Marshall, A.R. (1998). The Pontis bridge management system. Structural Engineering International, 8, 303–308.10.2749/101686698780488758
   Google Scholar
• Titi, A., & Biondini, F. (2013, June 16–20). Resilience of concrete frame structures under corrosion. In G. Deodatis, B.R. Ellingwood, & D.M. Frangopol (Eds.), 11th International Conference on Structural, Safety & Reliability (ICOSSAR 2013), New York, NY, Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, Balkema, London: CRC Press, Taylor & Francis Group.
   Google Scholar
• Titi, A., Biondini, F., & Frangopol, D.M. (2014, July 7–11). Lifetime resilience of aging concrete bridges under corrosion. In A. Chen, D.M. Frangopol, & X. Ruan (Eds.), Proceedings of the Seventh International Conference on Bridge Maintenance, Safety, and Management, IABMAS2014, Shanghai, China, in Bridge Maintenance, Safety, Management and Life Extension (pp. 1691–1698). Balkema, London: CRC Press, Taylor & Francis Group plc, and full paper on DVD, 426.
   Google Scholar
• Titi, A., Biondini, F., & Frangopol, D.M. (2015, April 23–25). Seismic resilience of deteriorating concrete structures. In N. Ingraffea & N. Libby (Eds.), Proceedings of the 2015 Structures Congress (pp. 1649–1660), Portland, OR.
   Google Scholar
• TRB. (2008). Potential impacts of climate change on U.S. transportation, Transportation Research Board Special Report 290, Transportation Research Board, Washington, DC.
   Google Scholar
• TRB. (2014). Strategic issues facing transportation, Volume 2: Climate change, extreme weather events and the highway system: Practitioner’s guide and research report, National Cooperative Highway Research Program, Transportation Research Board, Washington, DC.
   Google Scholar
• USGCRP. (2008). Global climate change impacts in the 634 United States. U.S. Global Change Research Program. Retrieved from http://www.globalchange.gov/publications/reports/scientific-assessments/us-635 impacts/full-report/national-climate-change
   Google Scholar
• Val, D.V., & Chernin, L. (2012). Cover cracking in reinforced concrete elements due to corrosion. Structure and Infrastructure Engineering, 8, 569–581.10.1080/15732479.2010.505376
   Web of Science ®Google Scholar
• Val, D.V., Stewart, M.G., & Melchers, R.E. (1998). Effect of reinforcement corrosion on reliability of highway bridges. Engineering Structures, 20, 1010–1019.10.1016/S0141-0296(97)00197-1
   Web of Science ®Google Scholar
• Vu, K., & Stewart, M.G. (2000). Structural reliability of concrete bridges including improved chloride-induced corrosion models. Structural Safety, 22, 313–333.10.1016/S0167-4730(00)00018-7
   Web of Science ®Google Scholar
• Wen, Y.K., & Kang, Y.J. (2001). Minimum building life-cycle cost design criteria. I: Methodology. Journal of Structural Engineering, 127, 330–337.10.1061/(ASCE)0733-9445(2001)127:3(330)
   Web of Science ®Google Scholar
• Westgate, R., Koo, K., Brownjohn, J., & List, D. (2013). Suspension bridge response due to extreme vehicle loads. Structure and Infrastructure Engineering, 10, 821–838.
   Web of Science ®Google Scholar
• Yang, S.-I., Frangopol, D.M., & Neves, L.C. (2004). Service life prediction of structural systems using lifetime functions with emphasis on bridges. Reliability Engineering & System Safety, 86, 39–51.10.1016/j.ress.2003.12.009
   Web of Science ®Google Scholar
• Yang, S.-I., Frangopol, D.M., & Neves, L.C. (2006a). Optimum maintenance strategy for deteriorating bridge structures based on lifetime functions. Engineering Structures, 28, 196–206.10.1016/j.engstruct.2005.06.024
   Web of Science ®Google Scholar
• Yang, S.-I., Frangopol, D.M., Kawakami, Y., & Neves, L.C. (2006b). The use of lifetime functions in the optimization of interventions on existing bridges considering maintenance and failure costs. Reliability Engineering & System Safety, 91, 698–705.10.1016/j.ress.2005.06.001
   Web of Science ®Google Scholar
• Yavari, S., Chang, S., & Elwood, K.J. (2010). Modeling post-earthquake functionality of regional health care facilities. Earthquake Spectra, 26, 869–892.10.1193/1.3460359
   Web of Science ®Google Scholar
• Yeo, G.L., & Cornell, C.A. (2005). Stochastic characterization and decision bases under time-dependent aftershock risk in performance-based earthquake engineering. PEER Report, University of California, Berkeley, CA.
   Google Scholar
• Zhang, L., Silva, F., & Grismala, R. (2005). Ultimate lateral resistance to piles in cohesionless soils. Journal of Geotechnical and Geoenvironmental Engineering, 131, 78–83.10.1061/(ASCE)1090-0241(2005)131:1(78)
   Web of Science ®Google Scholar
• Zhu, B., & Frangopol, D.M. (2013a). Reliability, redundancy and risk as performance indicators of structural systems during their life-cycle. Engineering Structures, 41, 34–49.
   Web of Science ®Google Scholar
• Zhu, B., & Frangopol, D.M. (2013b). Risk-based approach for optimum maintenance of bridges under traffic and earthquake loads. Journal of Structural Engineering, 139, 422–434.10.1061/(ASCE)ST.1943-541X.0000671
   Web of Science ®Google Scholar
• Zhu, B., & Frangopol, D.M. (2016a). Time-variant risk assessment of bridges with partially and full closed lanes due to traffic loading and scour. Journal of Bridge Engineering, 21(6), 04016021, 1–15.
   Google Scholar
• Zhu, B., & Frangopol, D.M. (2016b). Time-dependent risk assessment of bridges based on cumulative-time failure probability. Journal of Bridge Engineering, 06016009, 1–7. doi:10.1061/(ASCE)BE.1943-5592.0000977
   Web of Science ®Google Scholar