Maintenance and Safety Analysis of Road Network Bridges Based on Genetic Algorithm
With the development of transportation networks and the aging of bridge structures,maintenance work has become increasing-ly crucial.Traditional maintenance decision-making processes suffer from the challenges of complexity and low efficiency.Therefore,this study proposes the establishment of a bridge safety risk analysis system and utilizes a non-dominated sorting genetic algorithm with an elite strategy for road network-level bridge maintenance decision-making.Experimental results indicate that the proposed method converges after 150 iterations,yielding 100 decision alternatives for the maintenance of the Zhubu Port Xiangjiang Bridge.A-mong these,representative decisions were selected for analysis.When considering secondary structures,the optimal decision incurs a cost of 2.52 million yuan with a benefit-cost ratio of 0.99.Without considering secondary structures,the optimal decision incurs a cost of 1.29 million yuan with a benefit-cost ratio of 1.60.Additionally,post-maintenance,the impact force decreased by 44.91%,and the absorbed impact energy increased by 38.13%.The study provides a systematic and scientific approach for road network bridge maintenance and safety risk analysis,with practical implications for enhancing maintenance efficiency,reducing costs,and ensuring structural safety.
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