Technical Papers
Nov 18, 2021

Development of Non-Parametric Deterioration Models for Risk and Reliability Assessments of Concrete and Timber Bridges

Publication: Journal of Performance of Constructed Facilities
Volume 36, Issue 1

Abstract

Distresses in concrete and timber bridge components occur due to physical, chemical and mechanical factors that manifest as observable symptoms of deterioration. Deterioration models relate the observable defects to the several factors affecting the deterioration. Only limited studies exist on the development of non-parametric (NP) models for bridge management, which have the unique advantage of not requiring any assumption on the functional form of the models. To address this research gap, this paper develops non-parametric deterioration models for risk and reliability assessments of concrete and timber bridges based on two methods: (1) average time in condition rating (ATICR), and (2) Kaplan-Meier (K-M) estimates. This study proposes relative deterioration rates based on the ATICR of various concrete and timber bridge components. The methodology for developing NP deterioration models based on K-M estimates for probabilistic prediction of bridge safety while accounting for the partial information from the incomplete bridge condition observations is explained. This study also investigates the effect of multiple factors affecting the bridge component condition, including aging, traffic loads, environmental conditions, and design characteristics, and estimates the median survival years for reinforced concrete decks.

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 time and constructive comments.

References

AASHTO. 2007. AASHTO LRFD bridge design specifications. 4th ed. Washington, DC: AASHTO.
ASCE. 2017. Infrastructure report card. Reston, VA: ASCE.
Beng, S. S., and T. Matsumoto. 2012. “Survival analysis on bridges for modeling bridge replacement and evaluating bridge performance.” Struct. Infrastruct. Eng. 8 (3): 251–268. https://doi.org/10.1080/15732471003594393.
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).
Bradley, A. P. 1997. “The use of the area under the ROC curve in the evaluation of machine learning algorithms.” Pattern Recognit. 30 (7): 1145–1159. https://doi.org/10.1016/S0031-3203(96)00142-2.
Fang, J., T. Ishida, and T. Yamazaki. 2018. “Quantitative evaluation of risk factors affecting the deterioration of RC deck slab components in East Japan and Tokyo regions using survival analysis.” Appl. Sci. 8 (9): 1470. https://doi.org/10.3390/app8091470.
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., M. Whelan, and T. L. Cavalline. 2016. “Multivariate regression modeling of bridge deterioration: Identifying factors influencing deterioration over the life-cycle.” In Proc., Conf. Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks, 1–20. Milton Park, UK: Taylor & Francis.
Goyal, R., M. J. Whelan, and T. L. Cavalline. 2020. “Multivariable proportional hazards-based probabilistic model for bridge deterioration forecasting.” J. Infrastruct. Syst. 26 (2): 04020007. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000534.
Hanley, J. A., and B. J. McNeil. 1982. “The meaning and use of the area under a receiver operating characteristic (ROC) curve.” Radiology 143 (1): 29–36. https://doi.org/10.1148/radiology.143.1.7063747.
López-Ratón, M., M. X. Rodríguez-Álvarez, C. M. Cadarso-Suárez, and F. Gude-Sampedro. 2014. “OptimalCutpoints: An R package for selecting optimal cutpoints in diagnostic tests.” J Stat. Software 61 (8): 1–36. https://doi.org/10.18637/jss.v061.i08.
Ma, Z., and A. W. Krings. 2008. “Survival analysis approach to reliability, survivability and prognostics and health management (PHM).” In Proc., 2008 IEEE Aerospace Conf., 1–20. New York: IEEE.
NBI (National Bridge Inventory). n.d. “The National bridge inventory database.” Accessed February 28, 2021. https://www.fhwa.dot.gov/bridge/nbi.cfm.
Pierce, P. C. 2015. “Evolution of structural design specifications in the U.S.” Structure Magazine, Accessed December 1, 2020. https://www.structuremag.org/?p=9086.
Schober, P., C. Boer, and L. A. Schwarte. 2018. “Correlation coefficients: Appropriate use and interpretation.” Anesth. Analg. 126 (5): 1763–1768. https://doi.org/10.1213/ANE.0000000000002864.
Schober, P., and T. R. Vetter. 2018. “Survival analysis and interpretation of time-to-event data: The tortoise and the hare.” Anesth. Analg. 127 (3): 792-798. https://doi.org/10.1213/ANE.0000000000003653.
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. (English Ed.) 7 (2): 152–173. https://doi.org/10.1016/j.jtte.2019.09.005.
Srikanth, I., and M. Arockiasamy. 2021. “Remaining service life prediction of aging concrete bridges based on multiple relevant explanatory variables.” Pract. Period. Struct. Des. Constr. 26 (4): 04021036. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000604.
Stevens, N.-A., M. Lydon, A. H. Marshall, and S. Taylor. 2020. “Identification of bridge key performance indicators using survival analysis for future network-wide structural health monitoring.” Sensors 20 (23): 6894. https://doi.org/10.3390/s20236894.
Watt, D. C., T. C. Aitchison, R. M. MacKie, and J. M. Sirel. 1996. “Survival analysis: The importance of censored observations.” Melanoma Res. 6 (5): 379–385. https://doi.org/10.1097/00008390-199610000-00005.
Wettach-Glosser, J. 2019. “Concrete bridge deck performance data and metrics for the State of Oregon.” M.S. thesis, Dept. of Civil and Environmental Engineering, Portland State Univ.
Youden, W. J. 1950. “Index for rating diagnostic tests.” Cancer 3 (1): 32–35. https://doi.org/10.1002/1097-0142(1950)3:1%3C32::AID-CNCR2820030106%3E3.0.CO;2-3.

Information & Authors

Information

Published In

Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 36Issue 1February 2022

History

Received: Jun 14, 2021
Accepted: Oct 1, 2021
Published online: Nov 18, 2021
Published in print: Feb 1, 2022
Discussion open until: Apr 18, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Candidate, Dept. of Civil, Environmental and Geomatics Engineering, Florida Atlantic Univ., 777 Glades Rd., Boca Raton, FL 33431 (corresponding author). ORCID: https://orcid.org/0000-0003-3144-319X. Email: [email protected]
Madasamy Arockiasamy, Ph.D., F.ASCE [email protected]
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., Boca Raton, FL 33431. Email: [email protected]

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).
  • Stochastic Prediction of Road Network Degradation Based on Field Monitoring Data, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-13293, 149, 10, (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).
  • Network Deterioration Prediction for Reinforced Concrete Pipe and Box Culverts Using Markov Model: Case Study, Journal of Performance of Constructed Facilities, 10.1061/(ASCE)CF.1943-5509.0001766, 36, 6, (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