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Framework for rational decision-making in bridge maintenance
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DOI：10.1080/15732479.2024.2371607.png)
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Bridges are deteriorating, and their safety must be continuously assessed. Efficient management of bridges is essentially about making decisions on maintenance activities in line with the decision maker’s preferences. In other words, structural safety should be ensured while optimally allocating resources. In theory, methods are available for solving this complex task; however, they have not yet been implemented by bridge owners. In this study, the implementation into practice is facilitated by presenting a consistent framework for rational decision-making. It is argued that structural assessment is a decision problem that infrastructure owners are obliged to take responsibility for. Bayesian decision theory is presented as the theoretically ideal decision-making framework. The main components of the framework—representations of structural reliability and failure consequences—are discussed in detail, and human safety constraints are integrated. For demonstration purposes, the decision-making framework is applied to two case studies. In addition, it is parameterised by the relative cost of the intervention to failure and the current failure probability to be applicable for any assessment situation. In that way, this study contributes to more efficient maintenance of single bridges and the development of generally applicable structural codes for assessing existing structures.
Keyword:
Bayesian decision-making
bridge maintenance
existing structures
human safety
structural assessment
期刊
IF:
2.6
论文数:
489
被引数:
5.3K
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引用论文
Mendoza, J., Bismut, E., Straub, D., & Köhler, J. (2022). Optimal life-cycle mitigation of fatigue failure risk for structural systems. Reliability Engineering & System Safety, 222, 108390. doi:10.1016/j.ress.2022.108390 (Open in a new window)Web of Science ®(Open in a new window)Google ScholarMendoza, J., Bismut, E., Straub, D., & Köhler, J. (2022). 结构系统疲劳失效风险的优化全生命周期缓解。可靠性工程与系统安全, 222, 108390. doi:10.1016/j.ress.2022.108390 (在新窗口中打开)Web of Science ®(在新窗口中打开)Google Scholar.png)
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分享收藏Morato, P., Papakonstantinou, K., Andriotis, C., Nielsen, J., & Rigo, P. (2022). Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes. Structural Safety, 94, 102140. doi:10.1016/j.strusafe.2021.102140 (Open in a new window)Web of Science ®(Open in a new window)Google ScholarMorato, P., Papakonstantinou, K., Andriotis, C., Nielsen, J., & Rigo, P. (2022). 基于动态贝叶斯网络和马尔可夫决策过程的劣化结构构件最优检测与维护规划。结构安全, 94, 102140. doi:10.1016/j.strusafe.2021.102140 (在新窗口中打开)Web of Science ®(在新窗口中打开)Google Scholar
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分享收藏Zhang, H., & Marsh, D. W. R. (2021). Managing infrastructure asset: Bayesian networks for inspection and maintenance decisions reasoning and planning. Reliability Engineering & System Safety, 207, 107328. doi:10.1016/j.ress.2020.107328 (Open in a new window)Web of Science ®(Open in a new window)Google Scholar张, H., & Marsh, D. W. R. (2021). 管理基础设施资产：贝叶斯网络用于检验和维护决策推理与规划。可靠性工程与系统安全, 207, 107328. doi:10.1016/j.ress.2020.107328 (在新窗口中打开) Web of Science ®(在新窗口中打开)Google Scholar
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OAAI分享收藏分享收藏Rackwitz, R. (2002). Optimization and risk acceptability based on the life quality index. Structural Safety, 24(2–4), 297–331. doi:10.1016/S0167-4730(02)00029-2 (Open in a new window)Web of Science ®(Open in a new window)Google ScholarRackwitz, R. (2002). 基于生命质量指数的优化和风险可接受性。结构安全, 24(2–4), 297–331. doi:10.1016/S0167-4730(02)00029-2 (在新窗口中打开)Web of Science ®(在新窗口中打开)Google Scholar
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