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Damage Detection Of a Cantilever Beam Using Digital Image Correlation

Deshmukh, Prutha
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169831665585

Abstract Details

2021, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
Vibration-based damage detection methods have been extensively used in structural health monitoring as these are response-based techniques and can be applied to experimental/operational data. The conventional methods of obtaining full-field vibration measurements are limited due to the location and number of sensors. Advancements in imaging technology have enabled the use of the digital image correlation (DIC) technique to measure the full-field deformation of a vibrating structure. In this study, the DIC technique was used to obtain vibration measurements from an impact test of a cantilever beam for damage identification. The application of curvature mode shapes (CMSs) developed from the mode shapes (MSs) of the beam is studied to detect and locate the damage. The CMSs of the undamaged state of the beam are determined only from the damaged state of the beam, without prior information about the associated undamaged beam, provided the beam is geometrically smooth. It is shown that the polynomial fit of the appropriate order of measured MS is equivalent to the associated MS of the undamaged beam. The objective of this study was to investigate the use of DIC technique and CMSs to locate and detect damage in the form of a machined area with reduced thickness in a cantilever beam. The modal parameter estimation (MPE) was done using X-Modal software, based on the unified matrix polynomial approach (UMPA), to obtain mode shapes and natural frequencies from the vibration measurements. It is shown that the proposed method can successfully detect and locate damage in the beam, for the data obtained from a single-input impact test. The work focuses on understanding how the parameters used in the DIC technique and MPE influence the damage detection. The influences of parameters such as subset size and step size used in the DIC technique are studied. The influences of parameters such as type of MPE algorithm, frequency band selection and model order during MPE are studied. The damage identification is represented by squared difference between the CMSs of the damaged and undamaged beam defined as curvature damage index (CDI) and averaged CDI for multiple modes defined as damage index (DI).
Yongfeng Xu, Ph.D. (Committee Chair)
Randall Allemang, Ph.D. (Committee Member)
Allyn Phillips, Ph.D. (Committee Member)
104 p.
Mechanical Engineering
Mode shape; curvature mode shape; digital image correlation; modal parameter estimation; damage detection; curvature damage index

Recommended Citations

Citations

  • Deshmukh, P. (2021). Damage Detection Of a Cantilever Beam Using Digital Image Correlation [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169831665585

    APA Style (7th edition)

  • Deshmukh, Prutha. Damage Detection Of a Cantilever Beam Using Digital Image Correlation. 2021. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169831665585.

    MLA Style (8th edition)

  • Deshmukh, Prutha. "Damage Detection Of a Cantilever Beam Using Digital Image Correlation." Master's thesis, University of Cincinnati, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169831665585

    Chicago Manual of Style (17th edition)

ucin1623169831665585
244
© 2021, some rights reserved.Creative Commons License Damage Detection Of a Cantilever Beam Using Digital Image Correlation by Prutha Deshmukh is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.