Sustainability-Oriented Maintenance Management of Highway Bridge Networks based on Q-learning
Current bridge management systems provide maintenance strategies that balance costs and structural safety of bridge networks. However, they are cost-oriented rather than sustainability-oriented. Moreover, the existing literature lacks research on reducing the environmental impacts of a bridge network during operation and maintenance periods. This paper develops a condition-based maintenance approach for highway bridges, aiming to minimize the total carbon emissions of bridge networks subject to maintenance budget constraints. A two-dimensional Markov chain model is applied to predict the deterioration processes of bridges, and a Q-learning algorithm is proposed to determine the maintenance strategy for a single bridge. Then, integer programming optimizes the budget allocation process for a bridge network. The proposed method is demonstrated using the concrete bridges in New York state. Sensitivity analyses indicate the impacts of budget levels on maintenance plans and total carbon emissions. 10% drop in budget level results in 30 additional bridge repairs delayed as well as 39 tonne extra annual carbon emissions. The proposed optimization framework would contribute to intelligent infrastructure asset management and sustainable society.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Xu, Gaowei
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0000-0003-0708-211X
- Guo, Fengdi
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Maps; References; Tables;
- Pagination: 103855
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Serial:
- Sustainable Cities and Society
- Volume: 81
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2210-6707
- Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2
Subject/Index Terms
- TRT Terms: Bridge management systems; Greenhouse gases; Highway bridges; Machine learning; Markov chains; Sustainable development
- Geographic Terms: New York (State)
- Subject Areas: Bridges and other structures; Environment; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 01845674
- Record Type: Publication
- Files: TRIS
- Created Date: May 19 2022 10:41AM