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Vibration-Based Damage Imaging in Structures Using High-Speed Camera with Digital Image Correlation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vibration-Based Damage Imaging in Structures Using High-Speed Camera with Digital Image Correlation./
Author:	Wang, Shaohan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	124 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
Subject:	Digital cameras. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28663452
ISBN:	9798522955182

Vibration-Based Damage Imaging in Structures Using High-Speed Camera with Digital Image Correlation.
Wang, Shaohan.

Vibration-Based Damage Imaging in Structures Using High-Speed Camera with Digital Image Correlation. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 124 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2021.

This item must not be sold to any third party vendors.

The goal of this research is to visualize sub-surface structural damage with cameras using vibration-based damage detection (VBDD) so that damage imaging can be performed by simply taking a vibrational video of the target structure. In the past, in order to get a full-field measurement, the vibrational response at each data point would need to be obtained using a laser doppler vibrometer (LDV), and the excitation cycles would need to be repeated over time. The recent use of high-speed cameras has enabled all target points to be measured instantaneously. However, past work with cameras is limited in three ways: (1) vibrational signals have only been captured by cameras on one-dimensional structures like beams; (2) the vibration modal analysis has not been combined with signal processing techniques for damage detection; and (3) there has been no capability for higher mode vibration detection. In order to overcome these limitations, this research serves to develop a vision-based damage imaging system via high-speed cameras by applying a two-dimensional continuous wavelet transform (2-D CWT) on the first 12th resonance mode shapes of a cantilever plate.In this research, two high-speed cameras were placed in front of an aluminum plate for capturing vibrations due to a swept excitation from 1-1000 Hz. The out-of-plane deflection of each data point was then extracted from sets of vibrational images at each time instant with 3-D digital image correlation (3-D DIC). Then a Fourier transform was applied on each deflection response in the time domain to obtain the frequency spectrum from the deflection data matrix of the plate. Resonance frequencies were then selected by the peak picking method in the frequency spectrum, and mode shapes were constructed by isolating the operating deflection shape near the resonance frequency.Once the mode shapes were obtained, the 2-D CWT with a Mexican Hat mother wavelet function was applied on each of the 12 mode shapes to obtain the wavelet transform mode shape curvature (WT MSC) for detection of mode shape spatial signal irregularities (represent damage). Finally, by combining the damage images from each mode with a weighing algorithm using the difference of the max and average wavelet coefficient, a weighted averaged damage imaging was constructed for higher-quality and more complete damage detection. For the proof of concept, two plates with different damage configurations were rotated 90 degrees counterclockwise for a total of four data sets. Each mode shape and the associated WT MSC was compared with finite element analysis numerical simulation results.

ISBN: 9798522955182Subjects--Topical Terms:

602915
Digital cameras.

Vibration-Based Damage Imaging in Structures Using High-Speed Camera with Digital Image Correlation.
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245 1 0 $a Vibration-Based Damage Imaging in Structures Using High-Speed Camera with Digital Image Correlation.
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300 $a 124 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
500 $a Advisor: Yuan, Fuh-Gwo.
502 $a Thesis (Ph.D.)--North Carolina State University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The goal of this research is to visualize sub-surface structural damage with cameras using vibration-based damage detection (VBDD) so that damage imaging can be performed by simply taking a vibrational video of the target structure. In the past, in order to get a full-field measurement, the vibrational response at each data point would need to be obtained using a laser doppler vibrometer (LDV), and the excitation cycles would need to be repeated over time. The recent use of high-speed cameras has enabled all target points to be measured instantaneously. However, past work with cameras is limited in three ways: (1) vibrational signals have only been captured by cameras on one-dimensional structures like beams; (2) the vibration modal analysis has not been combined with signal processing techniques for damage detection; and (3) there has been no capability for higher mode vibration detection. In order to overcome these limitations, this research serves to develop a vision-based damage imaging system via high-speed cameras by applying a two-dimensional continuous wavelet transform (2-D CWT) on the first 12th resonance mode shapes of a cantilever plate.In this research, two high-speed cameras were placed in front of an aluminum plate for capturing vibrations due to a swept excitation from 1-1000 Hz. The out-of-plane deflection of each data point was then extracted from sets of vibrational images at each time instant with 3-D digital image correlation (3-D DIC). Then a Fourier transform was applied on each deflection response in the time domain to obtain the frequency spectrum from the deflection data matrix of the plate. Resonance frequencies were then selected by the peak picking method in the frequency spectrum, and mode shapes were constructed by isolating the operating deflection shape near the resonance frequency.Once the mode shapes were obtained, the 2-D CWT with a Mexican Hat mother wavelet function was applied on each of the 12 mode shapes to obtain the wavelet transform mode shape curvature (WT MSC) for detection of mode shape spatial signal irregularities (represent damage). Finally, by combining the damage images from each mode with a weighing algorithm using the difference of the max and average wavelet coefficient, a weighted averaged damage imaging was constructed for higher-quality and more complete damage detection. For the proof of concept, two plates with different damage configurations were rotated 90 degrees counterclockwise for a total of four data sets. Each mode shape and the associated WT MSC was compared with finite element analysis numerical simulation results.
590 $a School code: 0155.
650 4 $a Digital cameras. $3 602915
650 4 $a Wavelet transforms. $3 3681479
650 4 $a Flow velocity. $3 3564851
650 4 $a Calibration. $3 2068745
650 4 $a Aluminum. $3 735071
650 4 $a Localization. $3 3560711
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Camcorders. $3 1471094
650 4 $a Vibration. $3 544256
650 4 $a Computers. $3 544777
650 4 $a Interferometry. $3 620597
650 4 $a Signal to noise ratio. $3 3681178
650 4 $a Personal computers. $3 3561037
650 4 $a Lasers. $3 535503
650 4 $a Civil engineering. $3 860360
650 4 $a Sensors. $3 3549539
650 4 $a Algorithms. $3 536374
650 4 $a Light. $3 524021
650 4 $a Accelerometers. $3 2132687
650 4 $a Acoustics. $3 879105
650 4 $a Engineering. $3 586835
650 4 $a Fluid mechanics. $3 528155
650 4 $a Mathematics. $3 515831
650 4 $a Mechanics. $3 525881
650 4 $a Physics. $3 516296
650 4 $a Principles. $3 3559989
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