Network Deterioration Prediction for Reinforced Concrete Pipe and Box Culverts Using Markov Model: Case Study
Publication: Journal of Performance of Constructed Facilities
Volume 36, Issue 6
Abstract
Reinforced concrete (RC) pipe and box culverts are widely used as an alternative to bridge structures in road transport networks around the world. The deterioration of the RC culverts is a complex problem caused by combined humanmade and natural processes with various influential factors. Visual inspection is often used to monitor the deterioration of culverts, and the inspection results are used to rate condition of culverts by using a discrete condition rating system. The objective of this case study was to investigate the deterioration of RC culverts at the network and cohort levels by using a Markov model and culverts’ influential factors and inspected condition data. The Markov deterioration model can forecast the future deterioration of a culvert network, which can be used for asset management planning of the culvert network. A real case study with a regional local government in Australia was used to demonstrate the application of this study. The results of network deterioration modeling showed that the deterioration rates of culverts varied with culvert type (pipe and box culvert), built year, demographic location, and pipe size. However, annual average daily traffic (AADT) affected only box culverts. Deterioration prediction was found to be sensitive to the time length of evidence data, which highlights the importance of keeping records of maintenance and rehabilitation activities for producing accurate modeling data.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to acknowledge the support of the Commonwealth of Australia through the Cooperative Research Centre program; Bushfire and Natural Hazard CRC. Support provided by Mr Prushi Gajaweera Arachchige and Lockyer Valley Regional Council (LVRC) in Australia is gratefully acknowledged.
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Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 36 • Issue 6 • December 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jan 31, 2022
Accepted: Jun 15, 2022
Published online: Aug 25, 2022
Published in print: Dec 1, 2022
Discussion open until: Jan 25, 2023
ASCE Technical Topics:
- Bridge engineering
- Bridges
- Bridges (by material)
- Case studies
- Concrete
- Concrete bridges
- Concrete pipes
- Culverts
- Deterioration
- Engineering fundamentals
- Engineering materials (by type)
- Infrastructure
- Markov process
- Materials characterization
- Materials engineering
- Mathematics
- Methodology (by type)
- Pipe networks
- Pipeline systems
- Pipes
- Probability
- Reinforced concrete
- Research methods (by type)
- Stochastic processes
- Structural engineering
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