Analysis of the impact of large-span bridge height on driving safety in crosswind environments

Clarifying the impact of different heights of bridges on driving safety in crosswinds can provide key basis for bridge design, and propose an analysis method of the impact of large-span bridge height on driving safety in crosswind environments. Firstly, establish a vehicle bridge coupled vibration model under crosswind conditions, Then, the Newmark-β algorithm is introduced to solve the model and recognition dynamic response parameters such as displacement, velocity, and acceleration, Finally, the identified vehicle dynamic response parameters are input into the GA-BP neural network model to determine the driving safety assessment values for different large-span bridge heights, and to complete the analysis of the impact of bridge height on driving safety in crosswind environments. Experimental results show that the proposed method has an average recognition accuracy of 95.98% for dynamic response parameters, an average accuracy of 97.17% for driving safety assessment, and an average analysis time of 5.96s.