Performance Evaluation and Life Prediction of Highway Concrete Bridge Superstructure across Design Types
Publication: Journal of Performance of Constructed Facilities
Volume 31, Issue 5
Abstract
Managers of highway bridge infrastructure constantly seek to improve their predictions of the physical performance of their facilities at any future time and also to identify the influential factors of bridge deterioration. In addressing this subject for concrete superstructures in particular, this paper uses empirical data from Indiana spanning 1992–2014. The superstructure design types considered are cast-in-place concrete (slab, stringer, and arch-deck) and prestressed concrete (stringer, T-beam, box-beam multiple, and box-beam single). Exponential and polynomial functional forms are investigated as part of the modeling process. A number of factors are found to have statistically significant influence on the deterioration of the concrete superstructures’ physical condition consistently across all design types, and other factors are found to be significant only for some design types. The paper also carries out sensitivity and marginal effects analyses to quantify the strength of effect of the influential factors on superstructure deterioration. Using the developed models, the paper establishes service lives for each concrete superstructure design type and compares the findings with those of past studies. The developed models can help highway agencies to carry out condition-based scheduling of bridge superstructure rehabilitation and reconstruction and to identify the materials and designs that are best suited to specific climates. This is useful for a number of agency processes including work programming and scheduling, and for feedback to bridge designers and maintenance personnel.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This work was supported by the Joint Transportation Research Program administered by the Indiana Department of Transportation and Purdue University. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the Federal Highway Administration and the Indiana Department of Transportation, nor do the contents constitute a standard, specification, or regulation. One of the authors is funded by the Bureau of Educational and Cultural Affairs of the United States Department of State.
References
Adams, T. M., and Sianipar, P. R. (1995). “Project and network level bridge management.” Proc., Transportation Congress, ASCE, Reston, VA, 1670–1681.
Agrawal, A., and Kawaguchi, A. (2009). “Bridge element deterioration rates.”, New York State DOT, City College of New York, New York.
Bolukbasi, M., Mohammadi, J., and Arditi, D. (2004). “Estimating the future condition of highway bridge components using national bridge inventory data.” ASCE Pract. Period. Struct. Des. Constr., 16–25.
Bu, G. P., Lee, J. H., Guan, H., Blumenstein, M., and Loo, Y. C. (2013). “Development of an integrated method for probabilistic bridge deterioration modeling.” J. Perform. Constr. Facil., 330–340.
Bu, G. P., Lee, J. H., Guan, H., Loo, Y. C., and Blumenstein, M. (2014). “Prediction of long-term bridge performance: Integrated deterioration approach with case studies.” J. Perform. Constr. Facil., 29–35.
Bulusu, S., and Sinha, K. C. (1997). “Comparison of methodologies to predict bridge deterioration.” Transp. Res. Rec., 1597, 34–42.
Busa, G., Cassella, M., Gazda, S., and Hom, R. (1985). “A national bridge deterioration model.” Transportation Systems Center (SS-42-05-26), Cambridge, MA.
DeStefano, P. D., and Grivas, D. A. (1998). “Method for estimating transition probability in bridge deterioration models.” J. Infrastruct. Syst., 56–62.
FHWA (Federal Highway Administration). (1995). “Recording and coding guide for the structure inventory and appraisal of the nation’s bridges.” Federal Highway Administration, U.S. DOT, Washington, DC.
FHWA (Federal Highway Administration). (2015). “The national bridge inventory database, 2015.” ⟨http://www.fhwa.dot.gov/bridge/nbi.cfm⟩ (Oct. 10, 2015).
Ford, K. M., et al. (2012). “Estimating life expectancies of highway assets.”, Transportation Research Board, Washington, DC.
Hatami, A., and Morcous, G. (2011). “Developing deterioration models for Nebraska bridges.”, Univ. of Nebraska-Lincoln, Lincoln, NE.
Huang, Y. (2010). “Artificial neural network model of bridge deterioration.” J. Perform. Constr. Facil., 597–602.
Jiang, Y., and Sinha, K. C. (1989). “The development of optimal strategies for maintenance, rehabilitation, and replacement of highway bridges.”, Purdue Univ., Indiana Dept. of Transportation, Indianapolis, IN.
Kleywegt, A. J., and Sinha, K. C. (1994). “Tools for bridge management data analysis.” Transp. Res. Circ., 423, 16–26.
Lavrenz, S., Murillo-Hoyos, J., Saeed, T. U., Volovski, M., and Labi, S. (2016). “Service life and condition rating prediction of steel bridges: New evidence using three-stage least squares modeling.” Transportation Research Board 95th Annual Meeting, Transportation Research Board, Washington, DC.
Lavrenz, S., Murillo-Hoyos, J., Volovski, M. J., Saeed, T. U., and Labi, S. (2015). “Service life and condition rating prediction of steel bridges.” Proc., 8th Int. Symp. on Steel Bridges: Innovation & New Challenges 2015 (SBIC-2015), Turkish Constructional Steelwork Association (TUCSA), Istanbul, Turkey, 667–674.
Markow, M., and Hyman, W. (2009). “Bridge management systems for transportation agency decision making.”, Transp. Research Board, Washington, DC.
Moomen, M. (2016). “Deterioration modeling of highway bridge components using deterministic and stochastic methods.” M.S. thesis, Purdue, Univ., West Lafayette, IN.
Moomen, M., Saeed, T. U., Ahmed, A., Fang, C., and Labi, S. (2016). “Empirical analysis of concrete bridge superstructure condition: Influential factors and deterioration prediction.” Transportation Research Board 95th Annual Meeting, Transportation Research Board of the National Academies of Sciences, Engineering, and Medicine, Washington, DC.
Moore, M., Phares, B., Graybeal, B., Rolander, D., and Washer, G. (2001). “Reliability of visual inspection for highway bridges.”, U.S. Dept. of Transportation, Federal Highway Administration, McLean, VA.
NOAA (National Oceanic and Atmospheric Administration). (2015). “National climate data center.” ⟨http://www.ncdc.noaa.gov/cdo-web/search⟩ (Oct. 10, 2015).
Qiao, Y., Moomen, M., Zhang, Z., Agbelie, B., Labi, S., and Sinha, K. C. (2016a). “Modeling deterioration of bridge components with binary probit techniques with random effects.” Transp. Res. Rec., 2550, 96–105.
Qiao, Y., Moomen, M., Zhang, Z., Saeed, T. U., Agbelie, B., and Labi, S. (2016b). “Accounting for observation-specific correlation in deterioration modeling of bridge components using binary probit models with random effects.” Proc., 8th Int. Conf., on Bridge Maintenance, Safety and Management, CRC Press/A.A. Balkema, Leiden, Netherlands, 379.
Rodriguez, M., Gkritza, K., and Labi, S. (2005). “Factors affecting bridge deck deterioration in Indiana.” Transportation Research Board 84th Annual Meeting, Transportation Research Board of the National Academies of Sciences, Engineering, and Medicine, Washington, DC.
Saeed, T. U., Qiao, Y., Moomen, M., Ahmed, A., and Labi, S (2016). “Discrete-outcome modeling of bridge component deterioration: Accounting for the effects of maintenance and observation-specific correlation using random effects.” Proc., 8th Int. Conf., on Bridge Maintenance, Safety and Management, CRC Press/A.A. Balkema, Leiden, Netherlands, 380.
Stukhart, G., James, R. W., Garcia-Diaz, A., Bligh, R. P., Sobanjo, J., and McFarland, W. F. (1991). “Study for a comprehensive bridge management system for Texas.”, Texas Transportation Institute, College Station, TX.
Tee, A. B., Bowman, M. D., and Sinha, K. C. (1988). “A fuzzy-mathematical approach for bridge condition evaluation.” Civ. Eng. Syst., 5(1), 17–24.
Veshosky, D., Beidleman, C., Buetow, G., and Demir, M. (1994). “Comparative analysis of bridge superstructure deterioration.” J. Struct. Eng., 2123–2136.
Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 31 • Issue 5 • October 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Apr 6, 2016
Accepted: Jan 17, 2017
Published online: Mar 28, 2017
Discussion open until: Aug 28, 2017
Published in print: Oct 1, 2017
Authors
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.