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首页> 外文期刊>Journal of Infrastructure Systems >History-Dependent Bridge Deck Maintenance and Replacement Optimization with Markov Decision Processes
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History-Dependent Bridge Deck Maintenance and Replacement Optimization with Markov Decision Processes

机译：历史相关的桥面维护和马尔可夫决策过程的优化替换

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Bridge maintenance and replacement optimization methods use deterioration models to predict the future condition of bridge components. The purpose of this paper is to develop a framework for bridge maintenance optimization using a deterioration model that takes into account aspects of the history of the bridge condition and maintenance, while allowing the use of efficient optimization techniques. Markovian models are widely used to represent bridge component deterioration. In existing Markovian models, the state is the bridge component condition, and the history of the condition is not taken into account, which is seen as a limitation. This paper describes a method to formulate a realistic history-dependent model of bridge deck deterioration as a Markov chain, while retaining aspects of the history of deterioration and maintenance as part of the model. This model is then used to formulate and solve a reliability-based bridge maintenance optimization problem as a Markov decision process. A parametric study is conducted to compare the policies obtained in this research with policies derived using a simpler Markovian model.
机译：桥梁维护和更换优化方法使用劣化模型来预测桥梁组件的未来状况。本文的目的是开发一种使用劣化模型的桥梁维护优化框架，该模型考虑了桥梁状况和维护历史的各个方面，同时允许使用有效的优化技术。马尔可夫模型被广泛用于代表桥梁构件的退化。在现有的马尔可夫模型中，状态是桥梁构件条件，并且不考虑条件的历史，这被视为限制。本文描述了一种方法，该模型将现实的与历史相关的桥面板劣化模型公式化为马尔可夫链，同时保留了劣化和维护历史的某些方面作为模型的一部分。然后将此模型用于制定和解决基于可靠性的桥梁维修优化问题，作为马尔可夫决策过程。进行了参数研究，以比较该研究中获得的政策与使用简单马尔可夫模型得出的政策。

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