An Online Monitoring Method of Bridge Displacement under Wind Action

Abstract

The invention relates to an online monitoring method for bridge displacement under the action of wind, comprising: determining the average wind speed and fluctuating wind speed of the wind acting on the bridge; determining the static wind load of the average wind acting on the bridge based on the average wind speed; The fluctuating wind speed determines the buffeting force spectrum that the fluctuating wind acts on the bridge; the static wind load and the buffeting force spectrum are input into a machine learning algorithm model to obtain the displacement of the bridge under the action of wind.

Description

technical field [0001] The present disclosure relates to the technical field of intelligent monitoring, in particular to an online monitoring method, device, system, computer equipment and storage medium for bridge displacement under wind action. Background technique [0002] Bridges are a key component of traffic arteries and an important guarantee for the development of the national economy. Bridges, especially long-span bridges, are very sensitive to wind loads due to their great flexibility, and will produce large deformation and vibration under the dynamic action of wind. When building cross-mountain, river-cross, and sea-cross bridges in mountainous areas, along the river, and along the coast where the wind speed is relatively high, the effect of wind load on the bridge must be comprehensively considered to ensure the safety of the bridge structure. Therefore, it is very important to monitor the state of the bridge in order to take timely measures to ensure the safety...

AI Technical Summary

Problems solved by technology

However, in the current monitoring method, the state of the bridge cannot be accurately and effectively monitored.

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