Bridge digital twin model updating method and device based on finite element simulation

Abstract

The invention discloses a bridge digital twin model updating method and device based on finite element simulation, and the method comprises the steps: obtaining a bridge deck vehicle load distribution model through a bridge deck vehicle video monitoring system and a weighing system, and inputting the vehicle load distribution model as a real-time load into a bridge digital twin model, obtaining frequency characteristic value parameters simulated by the bridge digital twin model; obtaining structural vibration response parameters, measured by the sensor, of the bridge under the real-time traffic flow load, and generating actually-measured frequency characteristic value parameters of the bridge according to the structural vibration response parameters; and constructing an objective function based on a difference value between the simulated frequency characteristic value parameter and the actually measured frequency characteristic value parameter, and carrying out iterative correction on the bridge overall rigidity of the bridge digital twin model according to the objective function until a result of the objective function meets a preset iteration termination condition. According to the method, the accuracy of the bridge digital twin model and the updating timeliness and automation can be ensured.

Description

technical field [0001] The invention relates to the technical field of digital twins, in particular to a method and device for updating a bridge digital twin model based on finite element simulation. Background technique [0002] With the increasing number of bridges and the increasing traffic flow, the maintenance and supervision of bridges has become more and more important. The bridge facility safety management and maintenance platform is used for the safety management and maintenance of bridge facilities. Usually, the digital twin model of the bridge is built on the bridge facility safety management platform, and then the actual bridge vehicle test is carried out. After the test obtains the response data, the digital twin model of the bridge is analyzed. The twin model is corrected. However, this method needs to close the bridge, so it needs to choose a specific time period to interrupt the traffic, which will have a bad impact on the traffic, and it cannot be corrected...

AI Technical Summary

Problems solved by technology

[0003] The problem solved by the present invention is that the existing model correction method needs to interrupt the traffic, which has a bad influence on the traffic, and cannot achieve real-time correction

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