基于改进NSGA-Ⅱ算法的桥梁维护策略优化研究
Research on Optimization of Bridge Maintenance Strategy Based on NSGA-Ⅱ Algorithm
杨志明1
作者信息
- 1. 广东交科检测有限公司,广东 广州 510440
- 折叠
摘要
针对钢筋混凝土桥梁在运营周期内的检测维护策略优化问题,提出了一种改进的非支配排序遗传算法(NSGA-Ⅱ)进行桥梁维护策略优化分析,克服原有算法的缺陷,提高其在桥梁检测与维护策略优化中的应用效能.以桥梁可靠度指标、检测维护成本为优化目标,建立桥梁检测维护策略优化模型,依托国内某钢筋混凝土桥梁,求解得到了最优维护策略方案.结果表明:实质性检测维护可以提高桥梁结构的可靠度指标,使其安全性能得到保障;预防性检测维护可显著降低桥梁可靠性能退化速率,减少维护成本,但检测维护次数会明显增加.
Abstract
This paper proposes an improved non-dominated sorting genetic algorithm(NSGA-Ⅱ)for optimizing the inspection and maintenance strategy of reinforced concrete bridges during their operational cycle.The algorithm overcomes the shortcomings of the original algorithm and improves its application efficiency in bridge inspection and maintenance strategy optimization.A bridge inspection and maintenance strategy optimization model was established with bridge reliability indicators and inspection and maintenance costs as the optimization objectives.Based on a reinforced concrete bridge in China,the optimal maintenance strategy scheme was solved.The results indicate that substantive inspection and maintenance can improve the reliability index of bridge structures,ensuring their safety performance.Moreover,preventive testing and maintenance can significantly reduce the rate of reliability degradation of bridges and reduce maintenance costs,but the frequency of testing and maintenance will increase significantly.
关键词
钢筋混凝土桥梁/检测维护策略/改进NSGA-Ⅱ算法/可靠度/维护成本Key words
reinforced concrete bridge/testing and maintenance strategy/improved NSGA-Ⅱ algorithm/reliability/maintenance cost引用本文复制引用
出版年
2024
NETL
NSTL
万方数据