Markov-based deterioration prediction and asset management of floodway structures

Tran, Huu and Lokuge, Weena ORCID: https://orcid.org/0000-0003-1370-1976 and Karunasena, Warna ORCID: https://orcid.org/0000-0003-3636-3068 and Setunge, Sujeeva (2022) Markov-based deterioration prediction and asset management of floodway structures. Sustainable and Resilient Infrastructure. pp. 1-14. ISSN 2378-9689

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Abstract

Floodway structures are sections of roads that have been designed to be overtopped by floodwater and to fully return to serviceable level after the flood water recedes. They are an alternative cost-effective solution to bridges and culverts while they play a significant role in the economy of a country by connecting regional communities, farmlands and agricultural areas to urban cities. To support proactive asset management of floodway structures, this study developed a Markov deterioration model to predict the rate of deterioration for a network of floodway structures by using their visual inspection data. A computational algorithm has also been developed for estimating the lowest-cost inspection interval for floodway structures. A case study with real floodway structures is used to demonstrate its practical application. Effects of maintenance assumption, traffic count and underneath drainage culverts on deterioration rate of floodway network together with a budget estimation are the outcomes of this study.


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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 - Institute for Advanced Engineering and Space Sciences - Centre for Future Materials (1 Jan 2017 -)
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Date Deposited: 11 May 2022 01:38
Last Modified: 11 May 2022 01:38
Uncontrolled Keywords: Floodways; Rehabilitation; Markov deterioration; Failure; Inspection
Fields of Research (2020): 40 ENGINEERING > 4005 Civil engineering > 400508 Infrastructure engineering and asset management
40 ENGINEERING > 4005 Civil engineering > 400510 Structural engineering
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering
Funding Details:
Identification Number or DOI: https://doi.org/10.1080/23789689.2022.2067950
URI: http://eprints.usq.edu.au/id/eprint/48440

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