Date of Award:
5-2022
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mechanical and Aerospace Engineering
Committee Chair(s)
Ryan B. Berke
Committee
Ryan B. Berke
Committee
Thomas H. Fronk
Committee
Barton L. Smith
Abstract
Vibration-based fatigue testing is fast and effective method for determining failure characteristics of a material. Often, a small electrical device called a strain gage is bonded to a rectangular plate specimen to measure the deformation of the plate during a test. However, these strain gages break before the plate does, so an alternative method would improve the results obtained from the test. As an alternative to strain gages, Digital Image Correlation (DIC) is a non-contacting, camera-based technique that measures the deformation of an object by comparing digital images taken before and after the object is deformed. During a vibration-based fatigue test, DIC has an advantage over strain gages because it is non-contacting and does not accumulate damage during the test. In this work, DIC was implemented to relate the deformation of the plate to the speed at which it is vibrating, which is a necessary step to perform a vibration-based fatigue test. This was accomplished by, first, fitting curves to three different DIC deformation measurements using an analytical equation for each deformation measurement. Second, derivatives were taken on the curve fit equations to obtain strain, which is a measure of the deformation of the plate relative to its original dimensions. Third, the maximum strain value was compared to the plate velocity as the force applied to the vibrating plate increased. Of the three DIC deformation measurements explored, the deformation in the direction of motion provided the most precise strain measurements relative to a strain gage at every level of force applied to the plate.
Checksum
64ffdc74900093763c36a6e184ead42f
Recommended Citation
Hill, Benjamin D., "Calibration Procedure for DIC Strain Measurements During Vibration-Based Fatigue Testing" (2022). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 8383.
https://digitalcommons.usu.edu/etd/8383
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