Abstract
The objective of this paper is to present an integrated multi-year rehabilitation planning model (IMRPM) for a bridge network. A multi-year capital program can provide an explicit, steady vision for financial and expenditure strategies as well as improve the efficiency of the allocation of limited resources. Estimating the precise annual rehabilitation needs for sound bridge management is essential to achieving the goals of a multi-year capital program; however, the current rehabilitation planning techniques tend to underestimate the annual rehabilitation costs by overlooking the potential rehabilitation needs which can arise by delaying of Maintenance/Repair (M/R) projects due to insufficient annual funding. The presented model integrates a multi-year rehabilitation capital program into an M/R program within the same multi-year period. The model engages a genetic algorithm for a project-level analysis process to identify M/R and rehabilitation projects over a defined multi-year analysis period (e.g., three, five, or ten years) for each M/R program and rehabilitation program. As a result of this process, the annual rehabilitation costs during a multi-year period initially can be estimated. Then, the initial annual rehabilitation costs can be finalized by including newly-identified rehabilitation needs, which are developed through the annual reanalysis process resulting from the delay of M/R projects in prior years. The annual reanalysis process considers the concept of time floats for M/R projects. The presented model is expected to be useful to efficiently control delayed M/R projects and to provide more reliable estimation for annual rehabilitation needs.
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Aarts, E. H. L. and Lenstra, J. K. (1997). Local search in combinatorial optimization, Wiley, Chichester; New York, N.Y.
American Association of State Highway and Transportation Officcials (1993). Guidelines for Bridge Management Systems, Washington, D.C.
American Society of Civil Engineers (2013). Report card for america’s infrastructure, American Society of Civil Engineers, Washington, D.C.
Boex, L. F. J., Martinez-Vazquez, J., and McNab, R. M. (2000). “Multiyear budgeting: A review of international practices and lessons for developing and transitional economies.” Public Budgeting & Finance, Vol. 20, No. 2, pp. 91–112, DOI: 10.1111/0275-1100.00013.
Connecticut Department of Transportation (2001). Bridge Inspection Manual, www.ct.gov/dot/lib/dot/documents/dpublications/Inspection_ Manual_061905.pdf. (Accessed November 21, 2014).
Federal Highway Administration (1995). Recording and coding guide for the structure inventory and appraisal of the nation’s bridges, Report No. FHWA-PD-96-001, Washington, D.C.
Federal Highway Administration (2007). Rehabilitation and replacement of bridge decks, www.fhwa.dot.gov/bridge/071101.cfm. (Accessed May 18, 2014).
Gokey, J., Klein, N., Mackey, C., Santos, J., Pillutla, A., and Tucker, S. (2009). “Development a prioritization methodology for maintaining georgia’s bridge infrastructure systems.” Proc., Systems and Information Engineering Design Symposium 2009, Atlanta, GA, pp. 252–257.
Ham, D. and Lockwood, S. (2002). National needs assessment for ensuring transportation infrastructure security, American Association of State Highway and Transportation Officials, Washington, D.C.
Hegazy, T., Elbeltagi, E., and El-Behairy, H. (2004). “Bridge deck management system with integrated life cycle cost optimization.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 1866, pp. 44–50, DOI: 10.3141/1866-06.
Hong, T. (2003). Evaluation of maintenance. repair, and rehabilitation (MR&R) strategy in concrete bridge deck, Master Thesis, Purdue University, West Lafayette, IN.
Labi, S., Hwee, K. S., Lamptey, G., and Nunoo, C. (2006). “Long-term benefits of microsurfacing applications in Indiana-methodology and case study.” Proceedings of the 85th Annual Meeting of the Transportation Research Board, Washington, DC.
Li, N., Haas, R., and Huot, M. (1998). “Integer programming of maintenance and rehabilitation treatments for pavement networks.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 1629, pp. 242–248, DOI: 10.3141/1629-27.
Li, Z., Madanu, S., Zhou, B., Wang, Y., and Abbas, M. (2010). “A heuristic approach for selecting highway investment alternatives.” Computer-Aided Civil and Infrastructure Engineering, Vol. 25, No. 6, pp. 427–439, DOI: 10.1111/j.1467-8667.2010.00653.x.
Liu, M. and Frangopol, D. (2005). “Maintenance planning of deteriorating bridges by using multiobjective optimization.” Transportation Research Record: Journal of the Transportation Research Board, CD11-S, pp. 491–500.
Marinakis, Y. and Marinaki, M. (2010). “A hybrid genetic–Particle Swarm Optimization Algorithm for the vehicle routing problem.” Expert Systems with Applications, Vol. 37, No. 2, pp. 1446–1455.
Missouri Department of Transportation (2000). Critical inspection findings missouri bridge and culvert rating guidelines figures, <http://www.modot.org/business/manuals/documents/bridgesection_ 2.pdf>. (Accessed February 27, 2015).
Neves, L. C. and Frangopol, D. M. (2005). “Condition, safety and cost profiles for deteriorating structures with emphasis on bridges.” Reliability Engineering and System Safety, Vol. 89, No. 2, pp. 185–198, DOI: 10.1016/j.ress.2004.08.018.
New York State Department of Transportation (2008). Fundamental of Bridge Maintenance and Inspection, Albany, NY.
Patidar, V., Labi, S., Sinha, K. C., and Thompson, P. (2007). Multiobjective optimization for bridge management systems, NCHRP Report 590, Transportation Research Board, Washington, D.C.
Petcherdchoo, A., Neves, L. A. C., and Frangopol, D. M. (2008). “Optimizing lifetime condition and reliability of deteriorating structures with emphasis on bridges.” Journal of Structural Engineering, Vol. 134, No. 4, pp. 544–552, DOI: 10.1061/(ASCE)0733-9445 (2008)134:4(544).
Radomski, W. (2002). Bridge rehabilitation, Imperial College Press, London.
Russell, H. G. (2004). Concrete bridge deck performance, NCHRP Synthesis Report 333, Transportation Research Board, Washington, D.C.
Sinha, K., Labi, S., McCullouch, B., Bhargava, A., and Bai, Q. (2010). Updating and enhancing the indiana bridge management system (IBMS). FHWA/IN/JTRP-2008/30, Joint Transportation Research Program, Indiana Department of Transportation and Purdue University, West Lafayette, IN.
Sprinkel, M., Brown, M., and Thompson, P. (2006). Preventative maintenance for concrete bridge decks, Presented at 2006 Virginia Concrete Conference, Richmond, VA.
Tarighat, A. and Miyamoto, A. (2009). “Fuzzy concrete bridge deck condition rating method for practical bridge management system.” Expert Systems with Applications, Vol. 36, No. 10, pp. 12077–12085, DOI: 10.1016/j.eswa.2009.04.043.
Tsai, Y., Gao, B., and Lai, J. (2004). “Multi-year pavement-rehabilitation planning enabled by geographic information system: Network analyses linked to Projects.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 1889, pp. 21–30, DOI: 10.3141/1889-03.
Wang, F., Zhang, Z., and Machemehl, R. (2003). “Decision-making problem for managing pavement maintenance and rehabilitation Projects.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 1853, pp. 21–28, DOI: 10.3141/1853-03.
Williamson, G. (2007). Service life modeling of virginia bridge decks, PhD Thesis, Virginia Polytechnic Institute and State University, Blacksburg, VA.
Yoon, Y. and Hastak, M. (2012). “Multiyear infrastructure rehabilitation strategy within the context of MR&R.” Proc., Third International Symposium on Life-Cycle Civil Engineering: Life-Cycle and Sustainability of Civil Infrastructure Systems, Vienna, Austria, pp. 1203–1210.
Yoon, Y. (2012). Planning of optimal rehabilitation strategies for infrastructure using Time Float and Multiyear Prioritization Approach, Ph.D. Dissertation, Purdue University, West Lafayette, IN.
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Yoon, Y., Hastak, M. Annual rehabilitation costs estimation for a bridge network. KSCE J Civ Eng 21, 27–36 (2017). https://doi.org/10.1007/s12205-016-1175-0
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DOI: https://doi.org/10.1007/s12205-016-1175-0