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Method for detecting structural damage of beam based on Teager energy operator-wavelet transformation curvature mode

A technology of wavelet transform and curvature mode, which is applied to the analysis of solids using sound waves/ultrasonic waves/infrasonic waves, can solve problems such as covering damage information and affecting detection results, and achieve the effect of eliminating the impact of environmental noise

Inactive Publication Date: 2014-02-12
HOHAI UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The conventional beam structure damage detection method based on curvature mode is very sensitive to the noise in the test environment. In the field test environment, it is likely to cover up the real damage information and affect the detection effect.

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  • Method for detecting structural damage of beam based on Teager energy operator-wavelet transformation curvature mode
  • Method for detecting structural damage of beam based on Teager energy operator-wavelet transformation curvature mode
  • Method for detecting structural damage of beam based on Teager energy operator-wavelet transformation curvature mode

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Embodiment Construction

[0028] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0029] The beam structure damage method based on the curvature mode identifies and locates the damage by finding the singular value of the curvature of the vibration shape of the beam structure. The curvature mode κ(x) is usually calculated by the central difference method:

[0030] κ ( x ) ≈ W ′ ′ ( x ) = W ( x i + 1 ) - 2 W ( x i ...

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Abstract

The invention discloses a method for detecting the structural damage of a beam based on a Teager energy operator-wavelet transformation curvature mode. The method comprises the following specific steps: measuring a vibration shape signal of the beam under inherent frequency; performing wavelet transformation on a vibration shape through Mexico wavelet to obtain a wavelet transformation curvature mode; applying a Teager energy operator to the wavelet transformation curvature mode to obtain the Teager energy operator-wavelet transformation curvature mode; judging the structural damage of the beam by judging whether a singular value peak occurs on a large scale in the Teager energy operator-wavelet transformation curvature mode, and determining the damage position along the scale. The method can be used for analyzing the vibration shape signal of a beam structure so as to judge whether the damage exists or not and position the damage. Compared with a conventional curvature mode based method, the method has the obvious effects that the environment noise influence is eliminated, and the characteristics of the damage are strengthened. The method can be matched with an advanced sensor such as a laser scanning vibration meter and is widely applied to detection on the structural damage in a noise environment.

Description

technical field [0001] The invention discloses a Teager energy operator-wavelet transform curvature mode beam structure damage detection method, which uses a laser scanning vibrometer as a sensor, and specifically relates to the field of beam structure damage detection. Background technique [0002] Beam structures accumulate microscopic damage (such as cracks) over years of service. These micro-damages will accumulate and evolve into macro-damages that endanger the reliable operation and safety of the overall structure. Based on such considerations, various nondestructive testing techniques have developed rapidly in recent decades, and have played an irreplaceable role in early structural damage diagnosis and later safety monitoring. As a simple method, the curvature mode method has been widely used in the damage detection of beam structures. But using wavelet transform and Teager energy operator to improve the traditional curvature mode method, get new Teager energy oper...

Claims

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Application Information

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IPC IPC(8): G01N29/04
Inventor 曹茂森徐炜王山山
Owner HOHAI UNIV
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