Sensitivity-based method to recognize overall damage of bridge

Abstract

The invention discloses a sensitivity-based method to recognize overall damage of a bridge; the method comprises the steps of 1, calculating a cross-correlation function of a node between healthy-state response and actual response; 2, giving a damage factor and simulating response of the node of a bridge structure; 3, calculating a cross-correlation function of the node between the simulated response and the healthy-state response and its sensitivity; 4, constructing a sensitivity formula to solve damage factor increment; 5, judging whether convergence occurs; if not, correcting the damage factor, and repeating the steps 2 to 4; 6, if yes, ending iteration to obtain a damage vector of the bridge structure. The method of the invention has the advantages that damage recognition is performedon the bridge structure, a complete sensitivity-based damage recognition process is established, monitoring data are analyzed directly, information loss during data processing is decreased, and the monitoring data is worthier of practical application.

Description

technical field [0001] The invention relates to the technical field of bridge damage identification, in particular to a sensitivity-based overall bridge damage identification method. Background technique [0002] Bridges play a vital role in railway operations. Once damaged, traffic safety will be endangered. Bridge damage identification based on long-term monitoring data has always been a difficult point. Scholars at home and abroad have done a lot of research on it, and have achieved certain results, and put forward a series of methods. For example, structural frequency is used for damage identification of structures, and based on the relationship between eigenvalues ​​and structural physical parameters, the damage identification of structures is realized by observing the changes of eigenvalues; for example, using mode shape information to conduct systematic research on the location of structural damage; Using the structural finite element model, the change of mode shape ...

AI Technical Summary

Problems solved by technology

In summary, there are mainly the following deficiencies: (1) Existing bridge health monitoring systems seldom involve damage identification and early warning of bridges. When the structure is damaged, the value of long-term monitoring data cannot be fully exploited, and the degree of damage to the bridge structure cannot be quantitatively analyzed, resulting in a waste of a large amount of monitoring data; (2) the existing damage identification methods and theories are more or less The monitoring data is rarely processed, and "information" will inevitably be lost during the processing process, resulting in low analysis accuracy, which may cause miscalculation of bridge damage and affect the evaluation results

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