Statistical Data Analysis of the Aging Effect on Time-Dependent Corrosion Rate for Steel Girder Bridges with Concrete Decks
Publication: Journal of Infrastructure Systems
Volume 28, Issue 2
Abstract
Significant research has been conducted on the practice of bridge asset management (BAM). Although bridge site inspections yield observations on current conditions, their usefulness in a bridge asset management strategy requires a sound historical and statistical basis. Therefore, the present practice of bridge site inspection can only support a reactive mode in bridge asset life cycle management and is raising a critical need for a risk analysis methodology that will effectively support decision making in a forecasting mode. This research addressed that challenge by employing a series of relatively simple, well-established statistical techniques as a precursor to a forecasting methodology. A knowledge-based risk assessment method (RAM) is recommended for optimizing BAM of the New York City Department of Transportation (NYCDOT) bridge database. The limitations of the current practice of bridge condition rating are reactive in nature. Reactive approaches do not provide analytical tools for forecasting the aging effect on the time-dependent bridge infrastructure deterioration for the prioritization of BAM. The development of statistical data analysis can be done by using the aging effect on the corrosion rate as a health monitoring parameter of the girder. The results of this research provide bridge asset managers with a statistical data-driven analysis approach to the time-dependent aging effect as a decision support tool for preemptive prioritization and a prespecified vulnerability level in BAM planning. The infrastructure base selected for this study was 92 steel girder bridges with concrete decks (single-span/multispan) managed by NYCDOT, which were clustered into eight major age groups. There were multiple primary member degradation indicators, e.g., corrosion, section loss, cracks, and others. This research analyzed the corrosion rate of primary members. It illustrated the application of statistical data analysis for the development and application of RAM for forecasting the effect of aging on the corrosion rate as a structural degradation indicator for the preemptive planning of a BAM strategy.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Data for this research is made available through the data sharing agreement between NYCDOT (New York City Department of Transportation) and NYU (New York University). These data are not available in the public domain.
Acknowledgments
The authors acknowledge and thank Robert Collyer, P.E., Retired Deputy Commissioner, NYCDOT, and NYCDOT experts for their support and effective cooperation in providing access to data and productive discussions.
References
Agrawal, A. K., A. Kawaguchi, and Z. Chen. 2010. “Deterioration rates of typical bridge elements in New York.” J. Bridge Eng. 15 (4): 419–429. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000123.
Alampalli, S. 2009. “National and New York state highway bridge inspections.” Accessed September 23, 2020. http://wwwcourses.sens.buffalo.edu/cie500a/Sreenivas%20Alampalli%20presentation%2011-23-09.
ASCE. 2021a. A comprehensive assessment of America’s infrastructure. Reston, VA: ASCE.
ASCE. 2021b. 2021 report card for America’s infrastructure. Reston, VA: ASCE.
Brown, J. 2007. “Structural health monitoring of civil infrastructure.” Accessed July 10, 2020. http://rsta.royalsocietypublishing.org/content/365/1851/589.
Cantos, W. P., and I. Juran. 2019. “Infrastructure aging risk assessment for water distribution systems.” Water Supply 19 (3): 899–907. https://doi.org/10.2166/ws.2018.139.
Chang, M., M. Maguire, and Y. Sun. 2017. “Framework for mitigating human bias in selection of explanatory variables for bridge deterioration modeling.” J. Infrastruct. Syst. 23 (3): 04017002. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000352.
Daghash, S. M., and O. E. Ozbulut. 2017. “Mechanical evaluation of corrosion-resistant steel plates for bridge girder fabrication.” Struct. Congress 2017 (1): 494–505. https://doi.org/10.1061/9780784480403.042.
Dubin, E. E., and B. S. Yanev. 2001. “Managing the East River bridges in New York City.” In Proc., SPIE, 60–74. Newport Beach, CA: International Society for Optical Engineering.
Fan, X. P., and Y. F. Liu. 2018. “New dynamic prediction approach for the reliability indexes of bridge members based on SHM data.” J. Bridge Eng. 23 (12): 06018004. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001321.
Frangopol, D. M., and Y. Tsompanakis. 2014. Maintenance and safety of aging infrastructure. 1st ed. Boca Raton, FL: CRC Press.
Gheitasi, A., and D. K. Harris. 2015. “Failure characteristics and ultimate load-carrying capacity of redundant composite steel girder bridges: Case study.” J. Bridge Eng. 20 (3): 05014012. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000667.
Gocál, J., and J. Odrobiňák. 2020. “On the influence of corrosion on the load-carrying capacity of old riveted bridges.” Materials 13 (3): 717. https://doi.org/10.3390/ma13030717.
Hatami, A., and G. Morcous. 2011. Developing deterioration models for Nebraska Bridges. Final Rep. Technical Briefs. New York: Mid-America Transportation Center.
Jang, S., J. Li, and B. F. Spencer. 2013. “Corrosion estimation of a historic truss bridge using model updating.” J. Bridge Eng. 18 (7): 678–689. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000403.
Kayser, J. R., and A. S. Nowak. 1989. “Capacity loss due to corrosion in steel-girder bridges.” J. Struct. Eng. 115 (6): 1525–1537. https://doi.org/10.1061/(ASCE)0733-9445(1989)115:6(1525).
Kelton, W. 2020. “Sensitivity analysis.” Accessed September 1, 2021. https://www.investopedia.com/terms/s/sensitivityanalysis.asp.
Kere, K. J., and Q. Huang. 2019. “Life-cycle cost comparison of corrosion management strategies for steel bridges.” J. Bridge Eng. 24 (4): 04019007. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001361.
Marchione, R., et al. 2017. “Bridge inspection manual.” Accessed June 5, 2021. https://www.dot.ny.gov/divisions/engineering/structures/manuals/bridgeinspection.
Nickless, K., and R. A. Atadero. 2018. “Mechanistic deterioration modeling for bridge design and management.” J. Bridge Eng. 23 (5): 04018018. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001223.
Nowak, A. S., and M. M. Szerszen. 2001. “Life-time reliability profiles for fatigue and corrosion.” In Proc., 1st US-Japan Workshop on Life Cycle Cost Analysis and Design of Civil Infrastructure Systems. Reston, VA: ASCE.
NYC (New York City).gov. 2019. “NYC DOT—Annual bridge report.” Accessed July 9, 2020. http://www.nyc.gov/html/dot/html/infrastructure/annualbridgereport.shtml.
Pichery, C. 2014. “Sensitivity analysis.” Accessed September 1, 2021. https://www.sciencedirect.com/topics/medicine-and-dentistry/sensitivity-analysis.asp.
Prasad, A. 2013. “Suspension bridges: Concepts and various innovative techniques of structural evaluation.” Accessed March 12, 2020. http://www.rtands.com/index.php/track-structure/bridge-retaining-walls/suspension-bridges-concepts-and-various-innovative-techniques-of-structural-evaluation.html.
Saad, T., and C. Fu. 2015. “Determining remaining strength capacity of deteriorating RC bridge substructures.” J. Perform. Constr. Facil. 29 (5): 04014122. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000467.
Saad-Eldeen, S., Y. Garbatov, and C. Guedes Soares. 2013. “Experimental assessment of corroded steel box-girders subjected to uniform bending.” Ships Offshore Struct. 8 (6): 653–662. https://doi.org/10.1080/17445302.2012.718171.
Shafei, B., and A. Alipour. 2013. “Assessment of extent of capacity loss in deteriorated highway bridges.” In Proc., Structures Congress 2013. Reston, VA: ASCE.
Tom, D., et al. 2004. “National bridge inspection standards: Bridges and structures—Federal Highway Administration.” Accessed September 1, 2021. https://www.fhwa.dot.gov/bridge/nbis.cfm.
Yanev, B. 1994. Bridge management. Hoboken, NJ: Wiley.
Yanev, B. 2007. Bridge management, 630–637. New York: Wiley.
Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 28 • Issue 2 • June 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Feb 7, 2021
Accepted: Nov 26, 2021
Published online: Jan 31, 2022
Published in print: Jun 1, 2022
Discussion open until: Jun 30, 2022
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.
Cited by
- Avinash Prasad, Ilan Juran, Bojidar Yanev, Risk Assessment Method for Forecasting Time-Dependent Aging Effects on Corrosion Rate: Preemptive Bridge Assets Management, Journal of Infrastructure Systems, 10.1061/JITSE4.ISENG-2184, 30, 3, (2024).
- Stephen M. Stark, Ilan Juran, Statistical Data Analysis for Trackway Asset Management Using Low-Level Nonconformance Rates, Journal of Infrastructure Systems, 10.1061/JITSE4.ISENG-1891, 29, 1, (2023).