A Bridge Damage Intersection Location Method Based on Cluster Structure Similarity

Abstract

The invention belongs to the field of bridge structure damage positioning in an operation environment, and particularly relates to a bridge damage cross positioning method based on cluster structure similarity. The bridge damage cross positioning method comprises the steps: utilizing static strain monitoring data at the same positions of any two bridges in a cluster to construct damage indexes foreliminating environment temperature loads and vehicle loads; judging the similarity degree of all bridges in the cluster; constructing a damage feature vector sensitive to structural damage; establishing a damage positioning factor sequence based on a null space theory; judging damage conditions of any two bridge monitoring sections of the cluster; and completing damage cross positioning of all bridge monitoring sections in the cluster. According to the bridge damage cross positioning method, the problem that accurate positioning of bridge structure damage under the influence of an operationenvironment is difficult to realize due to the fact that actual bridge cluster structure response monitoring data is influenced by the coupling effect of various environmental factors is solved.

Description

technical field [0001] The invention belongs to the field of damage location of bridge structures in an operating environment, and in particular relates to a method for cross-location of bridge damage based on cluster structure similarity. Background technique [0002] The safety of bridge structures plays an important role in the safety and smoothness of highway traffic. The previous detection and evaluation methods based on non-destructive testing and manual inspection are far from meeting the requirements of bridge structure damage location. With the rapid development of sensor technology and numerical simulation technology, the health monitoring of bridge structures has been greatly developed. The bridge structure health monitoring system can obtain the structural status information of bridges in real time for a long time, and effectively identify hidden dangers in bridge structures. Provides overload and damage warning information to structural operations and maintenanc...

AI Technical Summary

Problems solved by technology

Although the bridge health monitoring technology is becoming more and more mature, the damage status information of the structure can often be concealed due to the influence of operating environment factors.

Therefore, it is still challenging to accurately locate bridge damage under the consideration of environmental influences.

[0003] When locating the damage of a single bridge under the influence of the operating environment, it is often necessary to establish a relationship model for the output response of the monitoring structure. However, the traffic volume of each bridge is increasing every year, and the degree of shrinkage and creep changes with time. Therefore, only through Establishing a relationship model between parameters will not be able to effectively locate structural damage

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