Detection method for damage of random vibration structure based on correlation function amplitude vector

A cross-correlation function, random vibration technology, applied in electrical digital data processing, special data processing applications, processing response signals of detection, etc., can solve problems such as damage

Inactive Publication Date: 2006-07-19
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem existing in the prior art when the narrow-band random excitation received by the structure is approximately regarded as white noise excitation, when identifying the structural modal parameter

Method used

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  • Detection method for damage of random vibration structure based on correlation function amplitude vector
  • Detection method for damage of random vibration structure based on correlation function amplitude vector
  • Detection method for damage of random vibration structure based on correlation function amplitude vector

Examples

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Embodiment 1

[0029] Embodiment 1: Using the strain response to perform damage detection on a simply supported beam, the two ends of the beam are subjected to transverse random excitation.

[0030] a. Step 1: Establish and test the magnitude vector of the cross-correlation function of the intact beam

[0031] 8 measuring points are evenly arranged on the beam, each measuring point is equipped with a strain sensor, and these 8 strain sensors are numbered sequentially from one end of the beam: 1, 2, ..., 8. Denote the response signals of sensors 1 to 8 as X 1 (t), x 2 (t), Λ, x 8 (t). The signal of sensor 5 is stronger and the signal-to-noise ratio is higher, so point 5 is selected as the reference point. Calculate x separately 5 (t) and x 1 (t), x 2 (t), Λ, x 8 (t) cross-correlation function, and respectively recorded as: R 51 (τ), R 52 (τ), Λ, R 58 (τ), and their values ​​at the point of maximum absolute value are r 51 , r 52 , Λ, r 58 , compose it into a vector, recorded as C...

Embodiment 2

[0051] Embodiment 2: Using the acceleration response to perform damage detection on a simply supported beam, the two ends of the beam are randomly excited in the transverse direction.

[0052] a. Step 1: Establish and test the magnitude vector of the cross-correlation function of the intact beam

[0053] 8 measuring points are evenly arranged on the beam, and an acceleration sensor is installed on each measuring point. The 8 acceleration sensors are numbered sequentially from one end of the beam: 1, 2, ..., 8. Denote the response signals of sensors 1 to 8 as x 1 (t), x 2 (t), Λ, x 8 (t). The signal acquisition time is 6 seconds. The signal of sensor 5 is stronger and the signal-to-noise ratio is higher, so point 5 is selected as the reference point. Calculate x separately 5 (t) and x 1 (t), x 2 (t), Λ, x 8 (t) cross-correlation function, and denoted as R 51 (τ), R 52 (τ), Λ, R 58 (τ), and their values ​​at the point of maximum absolute value are r 51 , r 52 , Λ, ...

Embodiment 3

[0076] Embodiment 3: Damage detection is performed on a four-story building, and the top of the building is randomly excited in the horizontal direction.

[0077] a. The first step: establish and test the magnitude vector of the cross-correlation function of the intact building

[0078] An acceleration sensor is installed on the top of each floor of the building, and the four acceleration sensors are numbered sequentially from the first floor: 1, 2, 3, 4. Denote the response signals of sensors 1 to 4 as x 1 (t), x 2 (t), x 3 (t), x 4 (t). Choose 3 points as reference points and calculate x respectively 3 (t) and x 1 (t), x 2 (t), x 3 (t), x 4 (t) cross-correlation function, denoted as R31 (τ), R 32 (τ), R 33 (τ), R 34 (τ), and their values ​​at the point of maximum absolute value are r 31 , r 32 , r 33 , r 34 , compose it into a vector, recorded as CorV={r 31 r 32 r 33 r 34}. The CorV is tested twice, the signal acquisition time is 15 seconds, and the t...

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Abstract

The invention relates to a method for testing random vibration structure damage based on cross-correlation function peak value vector. It uses the relation between the frequency respond function of the cross-correlation function of the two points respond signal of the vibration structure and the structure out-exiting frequency spectrum to collect the respond signal of a period times of a plurality of measuring points, it dose cross-correlation function computing to one point respond signal with other points respond signals, it uses the largest peak of each cross-correlation function to construct the cross-correlation function peak value vector, it compares the relative factor of the intact structure and the current structure cross-correlation function peak value vector to quote weather the structure is damaged, it analyzes the content change of the corresponding elements to ascertain the damaged location.

Description

[0001] (1) Fields: [0002] The invention belongs to the field of structural engineering, in particular to a random vibration structural damage detection method based on cross-correlation function amplitude vectors. (two) background technology: [0003] Structural damage detection technology has broad application prospects in the fields of structural engineering and mechanical engineering. Most of the current structural damage detection methods are based on the identification of structural modal parameters, that is, the identification of structural modal parameters is carried out first, and then the physical parameters of the structure are calculated from the identified structural modal parameters. Detect structural damage; or directly use the identified structural modal parameters to detect structural damage. Therefore, the method and accuracy of modal parameter identification are very important in this kind of damage detection method. There are many methods for modal param...

Claims

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Application Information

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IPC IPC(8): G01N29/12G01N29/50G06F19/00
Inventor 杨智春于哲峰
Owner NORTHWESTERN POLYTECHNICAL UNIV
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