Network Deterioration Prediction for Reinforced Concrete Pipe and Box Culverts Using Markov Model: Case Study

Tran, Huu and Lokuge, Weena ORCID: https://orcid.org/0000-0003-1370-1976 and Setunge, Sujeeva and Karunasena, Warna ORCID: https://orcid.org/0000-0003-3636-3068 (2022) Network Deterioration Prediction for Reinforced Concrete Pipe and Box Culverts Using Markov Model: Case Study. Journal of Performance of Constructed Facilities, 36 (6):04022047. pp. 1-12. ISSN 0887-3828


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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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Future Materials (1 Jan 2017 -)
Date Deposited: 30 Aug 2022 01:09
Last Modified: 26 Sep 2022 00:42
Uncontrolled Keywords: Culverts; Rehabilitation; Markov deterioration; Failure; Inspection
Fields of Research (2020): 40 ENGINEERING > 4005 Civil engineering > 400508 Infrastructure engineering and asset management
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering
Funding Details:
Identification Number or DOI: https://doi.org/10.1061/(ASCE)CF.1943-5509.0001766
URI: http://eprints.usq.edu.au/id/eprint/51063

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