An improved pca damage detection method under the space-time window

A spatio-temporal window and damage detection technology, applied in the field of structural damage identification, can solve the problems of reducing damage measurement accuracy and delaying the time to find damage, and achieve the effects of high damage measurement accuracy, simple and efficient method, and strong robustness.

Active Publication Date: 2020-04-28
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

However, this method uses the PCA method to analyze the data of all measuring points uniformly, ignoring the fact that the response of measuring points far away from the damaged area is not sensitive to damage.
Therefore, the time to detect damage is delayed in the data analysis process and the accuracy of damage measurement is reduced

Method used

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  • An improved pca damage detection method under the space-time window
  • An improved pca damage detection method under the space-time window
  • An improved pca damage detection method under the space-time window

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with specific examples.

[0051] Such as figure 1 As shown, the improved PCA damage detection method under the space-time window provided by this example includes the following steps:

[0052] 1) Determine the spatial window used in PCA analysis

[0053] 1.1) Determine the damage-affected area of ​​the structure. The model in this example is a simply supported beam model. The size of the model is: 4m*0.2m*0.4m. 50 grids are divided in the length direction, and 10 grids are divided in the height direction. The unit size is: 0.04m*0.04m. Models and sensor locations such as figure 2 shown. In the temperature load, the bottom plate Tb obeys T b =20+10 sin(πn / 730), n=1,2,...,5840. The temperature is collected at 6:00, 12:00, 18:00, and 24:00 in one day, and the total number of samples is 5840, corresponding to a sampling period of four years. Top plate temperature T t =T b +10, the internal tem...

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Abstract

The invention discloses an improved PCA damage detection method under a space-time window. First, numerical simulation or experimental means are used to determine the spatial influence ranges corresponding to the damage at different positions under various working conditions where the damage is at different spatial positions. Then determine the structural space area sensitive to damage, that is, the space window; secondly, determine the time window related to the external load cycle according to the PCA principle; finally, after determining the time window and space window, use the PCA method for all measuring point data in the space window , using eigenvectors as monitoring indicators, real-time damage monitoring and damage location. The method of the invention performs PCA analysis on the structural response within a limited time and space window, thereby improving the accuracy and sensitivity of damage identification, and can use long-term structural monitoring data to perform damage identification on long-span solid bridges or other structures.

Description

technical field [0001] The invention relates to the technical field of structural damage identification, in particular to an improved PCA damage detection method under a time-space window. Background technique [0002] The goal of structural health monitoring is to correctly assess the safety status of the structure by obtaining the response information of the structure in real time. Under the action of long-term environmental factors, traffic loads, and natural disasters, the structure may be damaged to varying degrees, which will cause changes in the mechanical response of the structure, such as natural frequency, strain, and displacement. However, when the damage degree is small or the damage location is far away from the sensor, the response information obtained directly through the monitoring system sometimes does not change significantly, so the original data cannot be directly used to correctly diagnose the health status of the structure. In this case, it is necessar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06F30/20
CPCG06F30/20G06F18/22G06F18/2135
Inventor 张舸刘泽佳周立成汤立群刘逸平蒋震宇董守斌陈溢涛蒋雍建程楠涂成枫朱亚伟
Owner SOUTH CHINA UNIV OF TECH
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