Dynamic optimization of maintenance strategy for bridges in regional transportation network through semi-Markov processes

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-04-02 DOI:10.1016/j.autcon.2025.106175

Xiaoling Liu , Ying Liu , Zhe Sun , Bing Wang , Yinfei Zhao

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引用次数: 0

Abstract

Aging bridges within regional transportation networks often suffer from structural deficiencies, requiring effective maintenance strategies under budget constraints. This paper aims to determine optimal maintenance strategies at the system level using a semi-Markov process-based dynamic optimization approach. The proposed method models bridge condition evolution with a semi-Markov matrix and integrates a probabilistic deterioration model to simulate structural aging. An optimization model is formulated to identify the best maintenance strategies considering budget limitations. Case studies on a Chinese regional transportation network demonstrate that the method can maintain 76.45 % of bridges in level A condition with only four interventions over ten years. These findings provide a practical decision-aid tool for transportation agencies to enhance bridge network sustainability. Future research can extend this approach by incorporating real-time monitoring data for adaptive maintenance planning.

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基于半马尔可夫过程的区域交通网络桥梁养护策略动态优化

区域交通网络中老化的桥梁经常遭受结构缺陷，需要在预算限制下采取有效的维护策略。本文旨在利用基于半马尔可夫过程的动态优化方法确定系统级的最优维护策略。该方法采用半马尔可夫矩阵对桥梁状态演化进行建模，并结合概率退化模型对结构老化进行模拟。建立了一个优化模型，以确定考虑预算限制的最佳维护策略。对中国区域交通网络的实例研究表明，该方法在10年内仅进行4次干预，就能使76.45%的桥梁保持在a级状态。这些发现为交通运输机构提高桥梁网络的可持续性提供了实用的决策辅助工具。未来的研究可以通过将实时监测数据纳入适应性维护计划来扩展这种方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.