Bridge damage positioning method based on normalized vehicle axle load time history monitoring

Abstract

The invention belongs to the field of structural safety detection, and discloses a bridge damage positioning method based on normalized vehicle axle load time history monitoring. The method comprises the steps: (1) acquiring corner response data at a bridge support and vehicle wheelbase and vehicle speed information when a plurality of double-axle vehicles with the same wheelbase independently run across a bridge in an operation state; (2) using a least square QR decomposition recursive algorithm to calculate an average normalized axle load time history according to the actually measured corner response and a calibration influence line; and (3) carrying out damage positioning according to the sudden change of the axle load time history caused when the front axle of the vehicle is damaged. According to the method, the average normalized axle load time history is calculated by using a plurality of random double-axle vehicles with the same axle distance in the operation state to carry out bridge damage positioning, and the robustness and the damage positioning precision of the method are relatively high. Meanwhile, traffic interruption is not needed, and the method can be used for long-term health monitoring of a bridge structure and has good engineering application prospects and great development potential.

Description

technical field [0001] The invention belongs to the field of structural safety detection, and in particular relates to a bridge damage location method based on normalized vehicle axle load time history monitoring. [0002] technical background [0003] In recent years, the number of bridges has been increasing, and bridge health accidents caused by overloading have occurred frequently. Therefore, how to accurately locate bridge damage and perform damage monitoring is of great significance for the assessment of bridge health status and operation and maintenance management. [0004] The current bridge damage identification methods are mainly divided into two types based on structural dynamic performance indicators and based on structural static response. The former is mainly based on the damage detection method of natural frequency, mode shape, damping and frequency response function changes. It has achieved certain practical application effects, but it has the disadvantages of...

AI Technical Summary

Problems solved by technology

[0007] The traditional damage identification methods based on influence lines all need to obtain the influence lines after damage, which are obtained by back-calculating the measured responses of the test vehicles passing through the bridge with known axle loads. It is greatly affected by random errors, which is not conducive to the monitoring of bridge damage

The damage identification method based on BWIM generally conducts statistical analysis on the BWIM data. Since the BWIM data is usually the identified vehicle load, it reflects the overall structural information of the bridge and cannot reflect the local structural information. Therefore, these methods can generally determine whether the bridge is Injury occurs, but localized damage is difficult to pinpoint

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