Evaluation of Bridge Wind Barrier Parameter Optimization System Based on Ant Colony Algorithm

The wind barrier is a complex structure, and the design of its parameters would have an impact on driving safety and the static wind response of bridge beams. This study proposed an ant colony algorithm based optimization system for bridge wind barrier parameters, aiming to improve the design quality and performance of bridge wind protection systems. This article mainly applied experimental simulation and data comparison to conduct relevant analysis on bridge wind barriers. The experimental data showed that the critical wind speed of the vehicle observed under a 3.6 meter wind barrier at a 20% ventilation rate was 85 meters per second. By analyzing the optimization problem and designing an optimization model of the bridge wind barrier system, this paper optimized it based on ant colony algorithm, and adjusted the parameters through experimental verification. Ultimately, the optimized system can effectively improve the performance and stability of bridge wind protection.