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Full text release has been delayed at the author's request until December 14, 2025

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Combining Nontraditional Response Variables with Acceleration Data for Experimental Modal Analysis

Vinze, Pranjal
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1733838782867158

Abstract Details

2024, PhD, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
Combining strain FRF data and acoustic pressure FRF data with displacement FRF data for modal parameter estimation is the focus of this research. While these measurements have been shown to work standalone for modal analysis, it has not been shown experimentally that different physical measurements can be combined to get the same modal results. Recent work by Coppolino [1], showing that at least in theory this combination should be possible and should yield the same modal results as when only accelerometer FRF data is used, was important to the following work. This dissertation attempts to experimentally obtain data for strain, pressure and displacement FRF data and combine these three datasets in different ways to explore if some displacement information can be replaced without changing the modal parameter results. The data acquired is from several impact hammer tests carried out on a flat rectangular plate. Two different ways of combining this data have been discussed with all the possible combinations explored. Modal frequencies and damping have been compared and modal assurance criterion used to compare modeshapes. Intuitively speaking, strain and displacement can seem to have ‘inversed’ behavior as in the simple case of a cantilever beam. To evaluate this concern, finite element based analytical work has been presented to check which locations on the structure are best to measure strain FRFs to be able to replicate modal parameters obtained from an only displacement FRF analysis. A new criterion, local scale factor consistency, has been developed to be able to compare shapes degree of freedom by degree of freedom as well as mode by mode.
Randall Allemang, Ph.D. (Committee Chair)
Allyn Phillips, Ph.D. (Committee Member)
Robert N. Coppolino, Ph.D. (Committee Member)
Aimee Frame, Ph.D. (Committee Member)
David Thompson, Ph.D. (Committee Member)
85 p.
Mechanical Engineering
Experimental modal analysis; Strain; Pressure; Nontraditional variables; Shape correlation

Recommended Citations

Citations

  • Vinze, P. (2024). Combining Nontraditional Response Variables with Acceleration Data for Experimental Modal Analysis [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1733838782867158

    APA Style (7th edition)

  • Vinze, Pranjal. Combining Nontraditional Response Variables with Acceleration Data for Experimental Modal Analysis. 2024. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1733838782867158.

    MLA Style (8th edition)

  • Vinze, Pranjal. "Combining Nontraditional Response Variables with Acceleration Data for Experimental Modal Analysis." Doctoral dissertation, University of Cincinnati, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1733838782867158

    Chicago Manual of Style (17th edition)

ucin1733838782867158
© 2024, some rights reserved.Creative Commons License Combining Nontraditional Response Variables with Acceleration Data for Experimental Modal Analysis by Pranjal Vinze is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.