OTHER TECHNICAL PAPERS
Aug 2, 2010

Life-Cycle Optimization of Pavement Overlay Systems

Publication: Journal of Infrastructure Systems
Volume 16, Issue 4

Abstract

Preservation (maintenance and rehabilitation) strategy is the critical factor controlling pavement performance. A life-cycle optimization (LCO) model was developed to determine an optimal preservation strategy for a pavement overlay system and to minimize the total life-cycle energy consumption, greenhouse gas (GHG) emissions, and costs within an analysis period. Using dynamic programming optimization techniques, the LCO model integrates dynamic life-cycle assessment and life-cycle cost analysis models with an autoregressive pavement overlay deterioration model. To improve sustainability in pavement design, a promising alternative material for pavement overlays, engineered cementitious composites (ECCs), was studied. The LCO model was applied to an ECC overlay system, a concrete overlay system, and a hot mixed asphalt (HMA) overlay system. The LCO results show that the optimal preservation strategies will reduce the total life-cycle energy consumption by 5–30%, GHG emissions by 4–40%, and costs by 0.4–12% for the concrete, ECC, and HMA overlay systems compared to the current Michigan Department of Transportation preservation strategies, respectively. The impact of traffic growth on the optimal preservation strategies was also explored.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This research was funded through an NSF Materials Use: Science, Engineering, and Society (MUSES) Biocomplexity Program Grant (Grant Nos. UNSPECIFIEDCMS-0223971 and UNSPECIFIEDCMS-0329416). MUSES supports projects that study the reduction of adverse human impact on the total interactive system of resource use, the design and synthesis of new materials with environmentally benign impacts on biocomplex systems, as well as the maximization of efficient use of materials throughout their life cycles.

References

Ahmed, K., Abu-Lebdeh, G., and Lyles, R. W. (2006). “Prediction of pavement distress index with limited data on causal factors: An auto-regression approach.” Int. J. Pavement Eng., 7(1), 23–35.
ASCE. (2005). “2005 report card for America's infrastructure.” ⟨http://www.asce.org/reportcard/2005/index2005.cfm⟩ (May 17, 2010).
ASCE. (2006). Road to infrastructure renewal—A voter’s guide, Reston, Va.
Azapagic, A., and Clift, R. (1999). “The application of life cycle assessment to process optimisation.” Comput. Chem. Eng., 23, 1509–1526.
Banzhaf, H. S., Desvousges, W. H., and Johnson, F. R. (1996). “Assessing the externalities of electricity generation in the Midwest.” Resource Energ. Econ., 18, 395–421.
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., 113(5), 554–572.
Chan, A., Keoleian, G., and Gabler, E. (2008). “Evaluation of life-cycle cost analysis practices used by the Michigan Department of Transportation.” J. Transp. Eng., 134(6), 236–245.
Consumer Price Index (CPI). (2006). “CPI database.” ⟨http://www.bls.gov/cpi/⟩ (May 17, 2010).
Delucchi, M. A. (1998). “Summary of theory, data, methods, and results.” UCD-ITS-RR-96-3 (1), Institute of Transportation Studies, Univ. of California–Davis, Calif.
de Melo e Silva, F., Van Dam, T. J., Bulleit, W. M., and Ylitalo, R. (2000). “Proposed pavement performance models for local government agencies in Michigan.” Transportation Research Record 1699, Transportation Research Board (TRB), Washington, D.C., 81–86.
Dreyfus, S. F., and Law, A. M. (1977). The art and theory of dynamic programming, Academic Press, New York.
Durango, P., and Madanat, S. (2002). “Optimal maintenance and repair policies in infrastructure management under uncertain facility deterioration rates: An adaptive control approach.” Transp. Res., Part A: Policy Pract., 36A(6), 768–769.
Durango-Cohen, P. (2004). “Maintenance and repair decision making for infrastructure facilities without a deterioration model.” J. Infrastruct. Syst., 10(1), 1–8.
Epps, J. A., Leahy, R. B., Mitchell, T., Ashmore, C., Seeds, S., Alavi, S., and Monismith, C. L. (1999). “The road to performance-related specifications.” WesTrack Interim Rep., Reno, Nev.
ExternE. (2001). “ExternE: Overview.” ⟨http://externe.jrc.es/overview.html⟩ (Nov. 10, 2006).
Federal Highway Administration (FHWA). (2004). RealCost: User’s manual, Office of Asset Management, Washington, D.C.
Federal Highway Administration (FHWA). (2008). “Pavement management systems: The Washington State experience.” FHWA-IF-08-010, Washington, D.C.
Feighan, K. J., Shahlin, M. Y., Sinha, K. C., and White, T. D. (1988). “Application of dynamic programming and other mathematical techniques to pavement management systems.” Transportation Research Record 1200, Transportation Research Board, Washington, D.C., 90–98.
Ferregut, C., and Abdullah, I. (1998). “Artificial neural network-based methodologies for rational assessment of remaining life of existing pavement.” Research Project No. 0-1711, Dept. of Transportation, Austin, Tex.
Furuta, H., and Frangopol, D. M. (2008). “Life-cycle cost of civil infrastructure with emphasis on bridges.” Proc., 1st Int. Symp. on Life-Cycle Civil Engineering, Varenna, Italy, 47–58.
Fwa, T. F., Chan, W. T., and Tan, C. T. (1996). “Genetic-algorithm programming of road maintenance and rehabilitation.” J. Transp. Eng., 122(3), 246–253.
Golabi, K., Kulkarni, R., and Way, G. (1982). “A statewide pavement management system.” Interfaces, 12(6), 5–21.
Golabi, K., and Separd, R. (1997). “Pontis: A system for maintenance optimization and improvement of U.S. bridge networks.” Interfaces, 27(1), 71–88.
Guignier, F., and Madanat, S. (1999). “Optimization of infrastructure systems maintenance and improvement policies.” J. Infrastruct. Syst., 5(4), 124–134.
Horvath, A., and Hendrickson, C. (1998). “Comparison of environmental implications of asphalt and steel-reinforced pavements.” Transp. Res. Rec., 1626, 105–113.
Horvath, A., Pacca, S., Masanet, E., and Canapa, R. (2004). “Pavement life-cycle assessment tool for environmental and economic effects: User’s manual.” ⟨http://www.ce.berkeley.edu/~horvath/palate.html⟩ (May 17, 2010).
Huang, Y. H. (2004). Pavement analysis and design, Univ. of Kentucky, Upper Saddle River, N.J.
Jiang, Y., Saito, M., and Sinha, K. C. (1989). “Bridge performance prediction model using the Markov chain.” Transportation Research Record 1268, Transportation Research Board, Washington, D.C., 68–74.
Kendall, A., Keoleian, G. A., and Helfand, G. E. (2008). “An integrated life cycle assessment and life cycle cost analysis model for concrete bridge deck applications.” J. Infrastruct. Syst., 14(3), 214–222.
Kennedy, P. (1998). A guide to econometrics, MIT Press, Cambridge, Mass.
Kentucky Transportation Center (KTC). (2002). “The costs of construction delays and traffic control for life-cycle cost analysis of pavements.” KTC-02-07/SPR197-99 and SPR218-00-1F, Lexington, Ky.
Keoleian, G. A., Kendall, A., Dettling, J. E., Smith, V. M., and Chandler, R. F. (2005). “Life cycle modeling of concrete bridge design: Comparison of engineered cementitious composite link slabs and conventional steel expansion joints.” J. Infrastruct. Syst., 11(1), 51–60.
Keoleian, G. A., and Spitzley, D. V. (2006). “Life cycle based sustainability metrics.” Chapter 7 in sustainability science and engineering: Defining principles (sustainability science and engineering), Vol. 1, M. A. Abraham, ed., Elsevier, New York, 127–159.
Lepech, M. D. (2006). “A paradigm for integrated structures and materials design for sustainable transportation infrastructure.” Ph.D. thesis, Univ. of Michigan, Ann Arbor, Mich.
Li, V. C. (2003). “Durable overlay systems with engineered cementitious composites (ECC).” Int. J. Restor. Build. Monuments, 9(2), 1–20.
Li, V. C. (2005). “Engineered cementitious composites.” Proc., ConMat’05, Vancouver, Canada.
Li, V. C., Qian, S., Zhang, H., and Keoleian, G. A. (2008). “Sustainable infrastructure with durable fibre concrete materials.” Keynote Paper for Congress 2008—Concrete: Construction’s Sustainable Option, Dundee, Scotland, U.K.
Lim, Y. M., and Li, V. C. (1997). “Durable repair of aged infrastructures using trapping mechanism of engineered cementitious composites.” Cem. Concr. Compos., 19, 373–385.
Madanat, S., and Ben-Akiva, M. (1994). “Optimal inspection and repair policies for infrastructure facilities.” Transp. Sci., 28(1), 55–62.
Madanat, S., Karlaftis, M., and McCarth, P. (1997). “Development of probabilistic infrastructure deterioration models with panel data.” J. Infrastruct. Syst., 3(1), 4–9.
Madanat, S., Mishalani, R., and Wan Ibrahim, W. H. (1995). “Estimation of infrastructure transition probabilities from condition rating data.” J. Infrastruct. Syst., 1(2), 120–125.
Madanat, S., Park, S., and Kuhn, K. (2006). “Adaptive optimization and systematic probing of infrastructure system maintenance policies under model uncertainty.” J. Infrastruct. Syst., 12(3), 192–198.
Mamlouk, M. S., Zaniewski, J. P., and He, W. (2000). “Analysis and design optimization of flexible pavement.” J. Transp. Eng., 126(2), 161–167.
Matthews, H. S., and Lave, L. B. (2000). “Applications of environmental valuation for determining externality costs.” Environ. Sci. Technol., 34(8), 1390–1395.
Michigan Department of Transportation (MDOT). (1997). 1997 noninterstate freeway segments: Deficient segments—URBAN, Ann Arbor, Mich.
Michigan Department of Transportation (MDOT). (2002). Michigan transportation facts and figures 2001 highways, Lansing, Mich.
Michigan Department of Transportation (MDOT). (2005). Pavement design and selection manual, Ann Arbor, Mich.
Mishalani, R., and Madanat, S. (2002). “Computation of Infrastructure transition probabilities using stochastic duration models.” J. Infrastruct. Syst., 8(4), 139–148.
PIARC. (2002). Highway development and management model, HDM-4. International study of highway development and management, World Road Association, Paris.
Qian, S. (2007). “Influence of concrete material ductility on the behavior of high stress concentration zones.” Ph.D. thesis, Univ. of Michigan, Ann Arbor, Mich.
Ravirala, V., and Grivas, D. A. (1995). “State increment method of life-cycle cost analysis for highway management.” J. Infrastruct. Syst., 1(3), 151–159.
Robelin, C., and Madanat, S. (2007). “History-dependent bridge deck maintenance and replacement optimization with Markov decision processes.” J. Infrastruct. Syst., 13(3), 195–201.
Sayers, M. W., and Gillespie, T. D. (1986). “The international road roughness experiment.” World Bank Technical Paper No. 45, Washington, D.C., 453.
Shahin, Y. M. (1994). Pavement management for airports, roads, and parking lots, Chapman and Hall, Inc., New York.
Sher, E. (1998). Handbook of air pollution from internal combustion engines, Academic Press, Boston.
Southeast Michigan Council of Governments (SEMCOG). (2006). Ozone and carbon monoxide conformity analysis for the proposed amendment of the 2030 regional transportation plan for Southeast Michigan, Detroit.
Tol, R. S. J. (1999). “The marginal costs of greenhouse gas emissions.” Energy J., 20(1), 61–81.
Tol, R. S. J. (2005). “The marginal damage costs of carbon dioxide emissions: an assessment of uncertainties.” Energy Policy, 33(16), 2064–2074.
U.S. Office of Management and Budget (OMB). (2005). Discount rates for cost-effectiveness, lease, purchase and related analyses. Appendix C to guidelines and discount rates for benefit-cost analysis of federal programs, Washington, D.C.
Walls, J., III, and Smith, M. R. (1998). Pavement Division Interim Technical Bulletin: Life-Cycle Cost Analysis in Pavement Design—Interim Technical Bulletin. FHWA-SA-98–079 U.S. Dept. of Transportation, Federal Highway Administration, Washington, D.C.
Weitzman, M. L. (2001). “Gamma discounting.” Am. Econ. Rev., 91(1), 260–271.
Wilde, W. J., Waalkes, S., and Harrison, R. (2001). Life cycle cost analysis of Portland cement concrete pavement, Univ. of Texas at Austin, Austin, Tex.
Zhang, H., Keoleian, G. A., and Lepech, M. D. (2008). “An integrated life cycle assessment and life cycle analysis model for pavement overlay systems.” Proc., 1st Int. Symp. on Life-Cycle Civil Engineering, Varenna, Italy, 907–915.
Zhang, H., Lepech, M. D., Keoleian, G. A., Qian, S., and Li, V. C. (2010). “Dynamic life cycle modeling of pavement overlay systems: Capturing the impacts of users, construction, and roadway deterioration.” J. Infrastruct. Syst., 16(4), 229–309.

Information & Authors

Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 16Issue 4December 2010
Pages: 310 - 322

History

Received: Apr 15, 2009
Accepted: Jul 26, 2010
Published online: Aug 2, 2010
Published in print: Dec 2010

Permissions

Request permissions for this article.

Authors

Affiliations

Han Zhang, Ph.D.
Research Assistant, Center for Sustainable Systems, School of Natural Resources and Environment, Univ. of Michigan, 440 Church St., Dana Building, Ann Arbor, MI 48109.
Gregory A. Keoleian [email protected]
Co-Director, Center for Sustainable Systems, Professor, School of Natural Resources and Environment, and Professor, Civil and Environmental Engineering, Univ. of Michigan, 440 Church St., Dana Building, Ann Arbor, MI 48109 (corresponding author). E-mail: [email protected]
Michael D. Lepech
Assistant Professor, Dept. of Civil and Environmental Engineering, Stanford Univ., 285B 473 Via Ortega, Stanford, CA 94305.
Alissa Kendall
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of California, 1 Shields Ave., Davis, CA 95616.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share