Probabilistic Design of Environmentally Sustainable Reinforced-Concrete Transportation Infrastructure Incorporating Maintenance Optimization
Publication: Journal of Infrastructure Systems
Volume 23, Issue 3
Abstract
This paper presents a framework for probabilistic sustainability design of reinforced-concrete transportation infrastructure incorporating optimization of maintenance. The framework contains three components: (1) stochastic service life models predicting the deterioration of structural components and repair timing; (2) stochastic lifecycle impact assessment (LCIA) models that estimate the sustainability impacts from construction and maintenance activities; and (3) a lifecycle optimization model (LCO) automating the repair and limit-state selection process to minimize the sustainability impact. In this study, the LCO model is constructed by using a dynamic programming method along with Monte Carlo simulation. A case study is presented in which the authors compute the probability that a maintenance scheme allowing more degradation will meet the equivalent () emission reduction target of the United Nations Intergovernmental Panel on Climate Change (IPCC) by 2050. By integrating lifecycle optimization with sustainability design, the proposed framework removes the arbitrary nature of repair and limit-state selection. It also provides a formal method to evaluate and compare different maintenance designs of reinforced-concrete transportation infrastructure toward a higher degree of sustainable development.
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References
Andrade, C., Alonso, C., and Molina, F. J. (1993). “Cover cracking as a function of bar corrosion. Part I: Experimental test.” Mater. Struct., 26(8), 453–464.
Angst, U. (2011). “Chloride induced reinforcement corrosion in concrete: Concept of critical chloride content—Methods and mechanisms.” Ph.D. thesis, Norwegian Univ. of Science and Technology, Trondheim, Norway.
ASCE. (2013). “ASCE report card for America’s infrastructure.” ⟨http://www.infrastructurereportcard.org⟩ (Mar. 15, 2014).
Bellman, R. (1956). “On a routing problem.” No. RAND-P-1000, Research and Development Corp., Santa Monica, CA.
Bellman, R. E. (1957). Dynamic programming, Princeton University Press, Princeton, NJ.
Bellman, R. E., and Dreyfus, S. E. (1962). Applied dynamic programming, Princeton University Press, Princeton, NJ.
Bertolini, L., Elsener, B., Pedeferri, P., Redaelli, E., and Polder, R. B. (2013). Corrosion of steel in concrete, Wiley, Weinheim, Germany.
Bertsekas, D. P., and Tsitsiklis, J. N. (1995). “Neuro-dynamic programming: An overview.” Proc., 34th IEEE Conf., IEEE, New York, 560–564.
Boden, T. A., Marland, G., and Andres, R. J. (2013). “Global, regional, and national fossil-fuel emissions.” Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, DOE, Oak Ridge, TN.
Camahan, J. V., Davis, W. J., Shahin, M. Y., Keane, P. L., and Wu, M. I. (1987). “Optimal maintenance decisions for pavement management.” J. Transp. Eng., 554–572.
Chan, W. T., Fwa, T. F., and Tan, C. Y. (1994). “Road-maintenance planning using genetic algorithms. I: Formulation.” J. Transp. Eng., 693–709.
Chicago DOT. (2013). “Sustainable urban infrastructure.” ⟨https://www.cityofchicago.org/content/dam/city/depts/cdot/Sustainable%20Transportation/SUIGv1.pdf⟩ (Nov. 4, 2014).
Concrete Thinking. (2014). “Concrete paving green specification guidelines.” ⟨http://www.concretethinker.com/specifications/Concrete-Paving-Guidelines.aspx⟩ (Oct. 20, 2014).
Dahal, K. P., Aldridge, C. J., and McDonald, J. R. (1999). “Generator maintenance scheduling using a genetic algorithm with a fuzzy evaluation function.” Fuzzy Sets Syst., 102(1), 21–29.
DOT. (2012). “Budget highlights fiscal year 2013.” Washington, DC.
DOT. (2015). “Beyond traffic.” Washington, DC.
Durango, P. L., and Madanat, S. M. (2002). “Optimal maintenance and repair policies in infrastructure management under uncertain facility deterioration rates: An adaptive control approach.” Transp. Res. Part A: Policy Pract., 36(9), 763–778.
EPA. (2012). “Inventory of U.S. greenhouse gas emissions and sinks.” Washington, DC.
fib (International Federation for Structural Concrete). (2006). “Model code for service life design.” Bulletin 34, Lausanne, Switzerland.
fib (International Federation for Structural Concrete). (2010). “2010 model code.”, Lausanne, Switzerland.
Flint, M., Baker, J., and Billington, S. (2013). “A probabilistic framework for performance-based durability engineering.” Durability of building materials and components, Springer, Berlin, 1–33.
Frangopol, D. M., and Liu, M. (2007). “Bridge network maintenance optimization using stochastic dynamic programming.” J. Struct. Eng., 1772–1782.
Golabi, K., Kulkarni, R. B., and Way, G. B. (1982). “A statewide pavement management system.” Interfaces, 12(6), 5–21.
Gowri, K. (2005). “Desktop tools for sustainable design.” ASHRAE J., 47(1), 42–46.
IPCC (United Nations Intergovernmental Panel on Climate Change). (2007). “Climate change 2007: Synthesis report.” 4th Assessment Rep., New York.
ISO. (2006). “Environmental management—Life cycle assessment—Principles and framework.” ISO 14040, Geneva.
Jaakkola, T., Jordan, M. I., and Singh, S. P. (1994). “On the convergence of stochastic iterative dynamic programming algorithms.” Neural Comput., 6(6), 1185–1201.
Kendall, A. (2007). “Concrete infrastructure sustainability.” Ph.D. thesis, Univ. of Michigan, Ann Arbor, MI.
Keoleian, G. A., et al. (2005). “Life cycle modeling of concrete bridge design: Comparison of ECC link slabs and conventional steel expansion joints.” J. Infrastruct. Syst., 51–60.
Lepech, M., Geiker, M. R., and Stang, H. (2012). “Probabilistic design framework for sustainable repair and rehabilitation of civil infrastructure.” fib Symp. 2011, Ernst & Sohn, Berlin, 1029–1032.
Lepech, M. D., Geiker, M., and Stang, H. (2014). “Probabilistic design and management of environmentally sustainable repair and rehabilitation of reinforced concrete structures.” Cem. Concr. Compos., 47, 19–31.
Lepech, M. D., Geiker, M. R., and Stang, H. (2013). “Assessing the role of limit state selection in the design and maintenance of sustainable concrete structures.” Proc., 1st Int. Conf. on Concrete Sustainability, Japan Concrete Institute, Tokyo.
Lidicker, J., Sathaye, N., Madanat, S., and Horvath, A. (2013). “Pavement resurfacing policy for minimization of life-cycle costs and greenhouse gas emissions.” J. Infrastruct. Syst., 129–137.
Liu, Y. P., and Weyers, R. E. (1998). “Modeling the time-to-corrosion cracking in chloride contaminated reinforced concrete structures.” ACI Mater. J., 95(6), 675–681.
Madanat, S., and Ben-Akiva, M. (1994). “Optimal inspection and repair policies for infrastructure facilities.” Transp. Sci., 28(1), 55–62.
Markow, M. J. (1995). “Highway management systems: State of the art.” J. Infrastruct. Syst., 186–191.
Marseguerra, M., Zio, E., and Podofillini, L. (2002). “Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation.” Reliab. Eng. Syst. Saf., 77(2), 151–165.
Rao, A., Lepech, M., and Kiremidjian, A. S. (2011). “Modeling of pitting corrosion in reinforced concrete bridge columns for time-varying seismic risk assessment.” Proc., 8th Int. Conf. on Urban Earthquake Engineering, Tokyo.
Ravirala, V., and Grivas, D. A. (1995). “Goal-programming methodology for integrating pavement and bridge programs.” J. Transp. Eng., 345–351.
Robelin, C. A., and Madanat, S. M. (2007). “History-dependent bridge deck maintenance and replacement optimization with Markov decision processes.” J. Infrastruct. Syst., 195–201.
Robelin, C. A., and Madanat, S. M. (2008). “Reliability-based system-level optimization of bridge maintenance and replacement decisions.” Transp. Sci., 42(4), 508–513.
Russell-Smith, S. V., Lepech, M. D., Fruchter, R., and Meyer, Y. B. (2015). “Sustainable target value design: Integrating life cycle assessment and target value design to improve building energy and environmental performance.” J. Clean. Prod., 88, 43–51.
Thoft-Christensen, P. (2000). “Modeling of the deterioration of reinforced concrete structures.” Int. Federation for Information Processing Conf. on Optimization and Reliability of Structural Systems, Dept. of Building Technology and Structural Engineering, Aalborg Univ., Aalborg, Denmark, 15–26.
Turner, C., and Frankel, M. (2008). “Energy performance of LEED for new construction buildings.” New Buildings Institute, Vancouver, WA.
Tuuti, K. (1982). “Corrosion of steel in concrete.” Ph.D. dissertation, Swedish Cement and Concrete Research Institute, Stockholm, Sweden.
Volkanovski, A., Mavko, B., Boševski, T., Čauševski, A., and Čepin, M. (2008). “Genetic algorithm optimisation of the maintenance scheduling of generating units in a power system.” Reliab. Eng. Syst. Saf., 93(6), 779–789.
Watkins, C. J., and Dayan, P. (1992). “Q-learning.” Mach. Learn., 8(3–4), 279–292.
Zapata, P., and Gambatese, J. (2005). “Energy consumption of asphalt and reinforced concrete pavement materials and construction.” J. Infrastruct. Syst., 9–20.
Zhang, H., Keoleian, G. A., Lepech, M. D., and Kendall, A. (2010). “Life-cycle optimization of pavement overlay systems.” J. Infrastruct. Syst., 310–322.
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Information
Published In
Journal of Infrastructure Systems
Volume 23 • Issue 3 • September 2017
Copyright
©2016 American Society of Civil Engineers.
History
Received: Jan 29, 2016
Accepted: Sep 2, 2016
Published online: Oct 20, 2016
Discussion open until: Mar 20, 2017
Published in print: Sep 1, 2017
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