Multi-objective Maintenance Optimization Strategy for Bridge Networks Oriented to Low-carbon

被引：0
|
作者：
Wang L. [1 ]
Chen R. [1 ]
Dai L.-Z. [1 ]
Tu R.-H. [2 ]
机构：
[1] School of Civil Engineering, Changsha University of Science and - Technology, Hunan, Changsha
[2] Zhejiang Traffic Engineering Management Center, Zhejiang, Hangzhou
来源：
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2024年 / 37卷 / 04期
基金：
中国国家自然科学基金;
关键词：
bridge engineering; bridge network; carbon emission; improved NSGA-M algorithm; maintenance strategy;
D O I：
10.19721/j.cnki.1001-7372.2024.04.015
中图分类号：
学科分类号：
摘要：
A calculation framework for multi-objective maintenance strategies based on the improved non-dominated sorting genetic algorithm-[[I (NSGA-IE) is proposed to address the formulation maintenance strategies for bridge networks oriented toward the low-carbon principle. First, a carbon-emission calculation method for bridge networks in the maintenance stage was developed based on the theory of carbon-emission factors. Three carbon emission sources were considered: production of reinforced raw materials, vehicle traffic, and auxiliary facilities. Based on the connectivity reliability of individual bridges and nodes, a multi-objective maintenance optimization model that integrates carbon emissions and comprehensive maintenance costs was established. Second, the multi-objective maintenance optimization model of the bridge network considering the preferences of decision makers was quickly and accurately solved using an improved NSGA-M algorithm and the combined weight technique for the order of preference by similarity to the ideal solution. The improved NSGA- M algorithm was developed using optimal cluster centers generated using the Genetic K-means clustering method instead of the original reference points. It also incorporates a dynamic crossover and mutation mechanism based on genetic parameters to enhance population diversity. Finally, a maintenance strategy considering the preferences of decision makers was analyzed, and the influence of different objective combinations on the maintenance strategy was compared through a case study of a regional bridge network. The results show that different weight distributions and objective combinations can lead to different maintenance strategies for bridge networks. Compared to the strategy focusing on economic benefits, the strategy focusing on environmental impact has a 23. 93% increase in cost and a 28. 74% reduction in carbon emissions. For the maintenance decision-making of bridge networks, the refinement of decision objectives contributes to the comprehensive elucidation of the decision problem and results in the attainment of a more balanced maintenance strategy. © 2024 Chang'an University. All rights reserved.
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页码：188 / 200
页数：12
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