基于NSGA-II算法的桥梁拆除方案多目标优化
Multi-Objective Optimization of Bridge Demolition Plan Based on the NSGA-II Algorithm
DOI: 10.12677/mos.2026.156098, PDF,   
作者: 彭展生, 李勇泉:广东省路桥建设发展有限公司,广东 广州;彭 石, 彭建新*:长沙理工大学,湖南 长沙
关键词: 桥梁拆除NSGA-II多目标优化施工风险碳排放Bridge Demolition NSGA-II Multi-Objective Optimization Construction Risk Carbon Emissions
摘要: 针对既有桥梁拆除过程中经济成本、碳排放与施工安全难以协同优化的问题,提出一种基于NSGA-II算法的桥梁拆除方案多目标优化方法。构建以桥梁拆除总成本、碳排放量和综合风险指数为目标函数、以拆除全过程最小可靠度指标为安全约束的多目标优化模型,采用NSGA-II算法进行求解,获得满足安全底线的Pareto最优解集。以一座带挂梁预应力T构桥为工程对象,对钢筋混凝土结构采取切割、人工/机械及静态爆破拆除三类方案进行优化比较。结果表明:成本、碳排放与风险之间存在显著冲突,难以通过单一方案同时实现最优;在可靠度约束条件下,钢筋混凝土切割拆除更易形成低风险、成本可控、碳排适中的可行解带。推荐方案总成本为176.22万元,碳排放为128.48 tCO2,综合风险指数为4.9,最小可靠度指标为4.21,满足安全控制要求。该方法可为桥梁拆除方案比选提供量化、可比和可追溯的决策依据。
Abstract: To address the difficulty of synergistically optimizing economic cost, carbon emissions, and construction safety during the demolition of existing bridges, a multi-objective optimization method for bridge demolition schemes based on the NSGA-II algorithm is proposed. A multi-objective optimization model is established, incorporating total cost, carbon emissions, and a comprehensive risk index as objective functions, and employing the minimum reliability index throughout the demolition process as a safety constraint. The model is solved using NSGA-II to obtain a Pareto optimal solution set that satisfies the safety requirements. Taking a prestressed T-frame bridge with suspended spans as a case study, three types of demolition schemes—reinforced concrete cutting demolition, manual/mechanical demolition, and static blasting demolition—are optimized and compared. The results indicate significant trade-offs among cost, carbon emissions, and risk, making it impossible to achieve optimality simultaneously with any single scheme. Under the reliability constraints, the reinforced concrete cutting demolition method is more likely to yield a feasible solution zone characterized by low risk, controllable cost, and moderate carbon emissions. The recommended scheme has a total cost of 1.7622 million yuan, carbon emissions of 128.48 tCO₂, a comprehensive risk index of 4.9, and a minimum reliability index of 4.21, all meeting safety control requirements. This method can provide a quantitative, comparable, and traceable decision-making basis for the comparison and selection of bridge demolition schemes.
文章引用:彭展生, 李勇泉, 彭石, 彭建新. 基于NSGA-II算法的桥梁拆除方案多目标优化[J]. 建模与仿真, 2026, 15(6): 114-127. https://doi.org/10.12677/mos.2026.156098

参考文献

[1] Miettinen, K. (1999) Nonlinear Multi-Objective Optimization. Kluwer Academic Publishers.
[2] Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T. (2002) A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182-197. [Google Scholar] [CrossRef
[3] Zitzler, E., Laumanns, M. and Thiele, L. (2001) SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Swiss Federal Institute of Technology (ETH Zurich).
[4] Hawk, H. (2003) Bridge Life-Cycle Cost Analysis. Transportation Research Board, National Research Council.
[5] Adams, T.M., et al. (2007) Multi-Objective Optimization for Bridge Management Systems. Transportation Research Board, National Research Council.
[6] Frangopol, D.M. (1999) Life-Cycle Cost Analysis for Bridges. In: Frangopol, D.M., Ed., Bridge Safety and Reliability, ASCE, 210-236.
[7] Du, G., Safi, M., Pettersson, L. and Karoumi, R. (2014) Life Cycle Assessment as a Decision Support Tool for Bridge Procurement: Environmental Impact Comparison among Five Bridge Designs. The International Journal of Life Cycle Assessment, 19, 1948-1964. [Google Scholar] [CrossRef
[8] Penadés-Plà, V., García-Segura, T., Martí, J. and Yepes, V. (2016) A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design. Sustainability, 8, Article 1295. [Google Scholar] [CrossRef
[9] Navarro, I.J., Penadés-Plà, V., Martínez-Muñoz, D., Rempling, R. and Yepes, V. (2020) Life Cycle Sustainability Assessment for Multi-Criteria Decision Making in Bridge Design: A Review. Journal of Civil Engineering and Management, 26, 690-704. [Google Scholar] [CrossRef
[10] Queheille, E., Taillandier, F. and Saiyouri, N. (2019) Optimization of Strategy Planning for Building Deconstruction. Automation in Construction, 98, 236-247. [Google Scholar] [CrossRef
[11] Aidonis, D. (2019) Multiobjective Mathematical Programming Model for the Optimization of End-Of-Life Buildings’ Deconstruction and Demolition Processes. Sustainability, 11, Article 1426. [Google Scholar] [CrossRef
[12] Nikmehr, B., Hosseini, M.R., Wang, J., Chileshe, N. and Rameezdeen, R. (2021) BIM-Based Tools for Managing Construction and Demolition Waste (CDW): A Scoping Review. Sustainability, 13, Article 8427. [Google Scholar] [CrossRef
[13] 蔡雪峰, 李林, 朱嬿. 灰色关联在桥梁施工组织设计评审中的应用研究[J]. 公路交通科技, 2004(10): 73-75.
[14] 杨永清, 杨灯, 余取. 基于不确定AHP的桥梁加固方案模糊综合评价[J]. 西南交通大学学报, 2019, 54(2): 219-226, 216.
[15] 邢健. 惠州市龙桥东江大桥旧桥改造方案比选[J]. 交通世界, 2021(Z2): 161-162.