Technical Papers
Jul 28, 2021

Remaining Service Life Prediction of Aging Concrete Bridges Based on Multiple Relevant Explanatory Variables

Publication: Practice Periodical on Structural Design and Construction
Volume 26, Issue 4

Abstract

Concrete highway bridge remaining service life has been at the forefront of bridge owners’ concerns for several years in terms of growing bridge maintenance needs. Distresses in concrete bridge components occur due to physical, chemical, and mechanical factors that manifest as observable symptoms of deterioration. Deterioration models realistically link the observable defects to the several explanatory variables affecting the deterioration that aid in the planning of appropriate corrective actions. Only a limited number of explanatory variables have been considered in the published literature in the development of bridge component deterioration models. This study investigates the effect of multiple relevant explanatory variables affecting the bridge component condition including aging, loads and environmental conditions, and design characteristics using a multivariate regression analysis approach. Deterioration models for both superstructure and substructure of reinforced and prestressed concrete bridges are developed and validated in the present study. The proposed models will aid the bridge engineers to predict the concrete bridge component conditions based on bridge characteristics for planning preventive maintenance.

Get full access to this article

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

Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors would like to acknowledge the support and facilities provided by the Department of Civil, Environmental and Geomatics Engineering at Florida Atlantic University to carry out the research. The senior author would like to thank the partial financial support from the sponsored research project from the Transportation Research Board, IDEA Program, Contract No. Rail Safety 35. The authors would like to express their sincere appreciation to the reviewers for their very constructive comments.

References

AASHTO. 2007. AASHTO LRFD bridge design specifications. Washington, DC: AASHTO.
Abed-Al-Rahim, I. J., and D. W. Johnston. 1995. “Bridge element deterioration rates.” Transp. Res. Rec. 1490 (1): 9–18.
Agrawal, A. K., A. Kawaguchi, and Z. Chen. 2008. Bridge element deterioration rates. New York: New York State DOT, City College of New York.
Al-Barqawi, H., and T. Zayed. 2006. “Condition rating model for underground infrastructure sustainable water mains.” J. Perform. Constr. Facil. 20 (2): 126–135. https://doi.org/10.1061/(ASCE)0887-3828(2006)20:2(126).
ASCE. 2017. Infrastructure report card. Reston, VA: ASCE.
Baber, T. T., D. C. Simons, and J. Gomez. 2007. The impact of the AASHTO LRFD design code on bridge stiffness and strength: Part 1: Methods and design comparisons. Charlottesville, VA: Virginia Transportation Research Council.
Barker, R. M., and J. A. Puckett. 2013. Design of highway bridges: An LRFD approach. New York: Wiley.
Bolukbasi, M., J. Mohammadi, and D. Arditi. 2004. “Estimating the future condition of highway bridge components using national bridge inventory data.” Pract. Period. Struct. Des. Constr. 9 (1): 16–25. https://doi.org/10.1061/(ASCE)1084-0680(2004)9:1(16).
Bulusu, S., and K. C. Sinha. 1997. “Comparison of methodologies to predict bridge deterioration.” Transp. Res. Rec. 1597 (1): 34–42. https://doi.org/10.3141/1597-05.
Fares, H., K. Shahata, E. Elwakil, A. Eweda, T. Zayed, M. Abdelrahman, and I. Basha. 2012. “Modelling the performance of pavement marking in cold weather conditions.” Struct. Infrastruct. Eng. 8 (11): 1067–1079.
FDOT (Florida Department of Transportation). 2018. FDOT structures design guidelines. Tallahassee, FL: FDOT.
FHWA (Federal Highway Administration). 1979. Recording and coding guide for structure inventory and appraisal of the nation’s bridges. Washington, DC: FHWA.
FHWA (Federal Highway Administration). 1995. Recording and coding guide for the structure inventory and appraisal of the nation’s bridges. Washington, DC: FHWA.
Goyal, R. 2015. “Development of a survival based framework for bridge deterioration modeling with large-scale application to the North Carolina bridge management system.” Ph.D. dissertation, Dept. of Civil and Environmental Engineering, Univ. of North Carolina at Charlotte.
Goyal, R., M. Whelan, and T. L. Cavalline. 2016. “Multivariate regression modeling of bridge deterioration: Identifying factors influencing deterioration over the life-cycle.” In Maintenance, monitoring, safety, risk and resilience of bridges and bridge networks, edited by T. N. Bittencourt, D. M. Frangopol, and A. Beck. London: Taylor & Francis.
Hasan, S., and E. Elwakil. 2020. “National bridge inventory data-based stochastic modeling for deck condition rating of prestressed concrete bridges.” Pract. Period. Struct. Des. Constr. 25 (3): 04020022. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000505.
Hatami, A., and G. Morcous. 2011. Developing deterioration models for Nebraska bridges. Lincoln, NE: Univ. of Nebraska-Lincoln.
Ilbeigi, M. E. M. M., and M. Ebrahimi Meimand. 2020. “Statistical forecasting of bridge deterioration conditions.” J. Perform. Constr. Facil. 34 (1): 04019104.
Jiang, Y., and K. C. Sinha. 1989. “Bridge service life prediction model using the Markov chain.” Transp. Res. Rec. 1223 (1): 24–30.
Li, Z. 2011. Advanced concrete technology. New York: Wiley.
Madanat, S., and W. H. W. Ibrahim. 1995. “Poisson regression models of infrastructure transition probabilities.” J. Transp. Eng. 121 (3): 267–272. https://doi.org/10.1061/(ASCE)0733-947X(1995)121:3(267).
Moomen, M., T. U. Saeed, A. Ahmed, C. Fang, and S. Labi. 2016. “Empirical analysis of concrete bridge superstructure condition: Influential factors and deterioration prediction.” In Proc., Transportation Research Board 95th Annual Meeting, Washington, DC: Transportation Research Board, National Academies of Sciences, Engineering, and Medicine.
PCA (Portland Cement Association). 2002. Causes of concrete deterioration. Skokie, IL: PCA.
Pierce, P. C. 2015. “Evolution of structural design specifications in the United States.” Structure Magazine, December 1, 2020.
Saeed, T. U., M. Moomen, A. Ahmed, J. Murillo-Hoyos, M. Volovski, and S. Labi. 2017. “Performance evaluation and life prediction of highway concrete bridge superstructure across design types.” J. Perform. Constr. Facil. 31 (5): 04017052. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001051.
Schober, P., C. Boer, and L. A. Schwarte. 2018. “Correlation coefficients: Appropriate use and interpretation.” Anesthesia Analg. 126 (5): 1763–1768. https://doi.org/10.1213/ANE.0000000000002864.
Srikanth, I., and M. Arockiasamy. 2020. “Deterioration models for prediction of remaining useful life of timber and concrete bridges: A review.” J. Traffic Transp. Eng. 7 (2): 152–173. https://doi.org/10.1016/j.jtte.2019.09.005.
Taly, N. 1998. Design of modern highway bridges. New York: McGraw-Hill.
Tolliver, D., and P. Lu. 2012. “Analysis of bridge deterioration rates: A case study of the northern plains region.” J. Transp. Res. Forum 50 (2): 47–56. https://doi.org/10.1.1.308.7597&rep=rep1&type=pdf.
Xanthakos, P. P. 1994. Theory and design of bridges. New York: Wiley.

Information & Authors

Information

Published In

Go to Practice Periodical on Structural Design and Construction
Practice Periodical on Structural Design and Construction
Volume 26Issue 4November 2021

History

Received: Dec 21, 2020
Accepted: Apr 20, 2021
Published online: Jul 28, 2021
Published in print: Nov 1, 2021
Discussion open until: Dec 28, 2021

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Candidate, Dept. of Civil, Environmental and Geomatics Engineering, Florida Atlantic Univ., 777 Glades Rd., FL 33431 (corresponding author). ORCID: https://orcid.org/0000-0003-3144-319X. Email: [email protected]
Madasamy Arockiasamy, F.ASCE
P.E.
P.Eng.
Professor and Director, Center for Infrastructure and Constructed Facilities, Dept. of Civil, Environmental and Geomatics Engineering, Florida Atlantic Univ., 777 Glades Rd., FL 33431.

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

  • Imaging and Laser Scanning–Based Noncontact Deflection Monitoring Technique for Timber Railroad Bridges, Practice Periodical on Structural Design and Construction, 10.1061/PPSCFX.SCENG-1188, 28, 1, (2023).
  • Comparison of Markovian-Based Bridge Deterioration Model Approaches, Journal of Bridge Engineering, 10.1061/JBENF2.BEENG-5920, 28, 8, (2023).
  • Performance of Aging Timber Bridges based on Field Tests and Deterioration Models, Transportation Research Record: Journal of the Transportation Research Board, 10.1177/03611981221089297, 2676, 10, (315-327), (2022).
  • Development of Non-Parametric Deterioration Models for Risk and Reliability Assessments of Concrete and Timber Bridges, Journal of Performance of Constructed Facilities, 10.1061/(ASCE)CF.1943-5509.0001692, 36, 1, (2022).

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