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Comparison of Automotive Structures Using Transmissibility Functions and Principal Component Analysis

Allemang, Matthew R
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367944783

Abstract Details

2013, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
The focus of this thesis is developing alternate methods for comparing various fully trimmed vehicle body structures. Traditionally, experimental modal analysis has been used to achieve this, but has seen limited success. The challenge is developing global trends using information from very distinct points. This thesis examines the use of single input and multi-input transmissibility as measured on a four post road simulator as an alternate means to compare similar or dissimilar vehicle structures. Early work with transmissibility indicated some differences in vehicle structures, but suffered from some of the same problems as experimental modal analysis techniques. A group transmissibility concept was developed in a parallel thesis[1], but the most promising work focused on use of principal component analysis (PCA) to reduce large amounts of data to a smaller set of representative data. Principal Component Analysis (PCA) methods have been variously developed and applied within the experimental modal and structural dynamics community for some time. While historically the use of these techniques has been restricted to the areas of model order determination utilizing the complex mode indicator function (CMIF), enhanced frequency response function (eFRF) and virtual response function estimation, and parameter identification, increasingly the PCA methodology is being applied to the areas of test/model validation, experimental model correlation/repeatability and experimental/structural model comparison. With the increasing volume of data being collected today, techniques which provide effective extraction of the significant data features for quick, easy comparison are essential. This thesis also explores the general development and application of PCA to transmissibility measurements and the ability of PCA to provide the analyst with an effective global trend visualization tool.
Robert Rost, Ph.D. (Committee Chair)
David Brown, Ph.D. (Committee Member)
Allyn Phillips, Ph.D. (Committee Member)
102 p.
Mechanics
Transmissibility; Pricipal Components; PCA; NVH;

Recommended Citations

Citations

  • Allemang, M. R. (2013). Comparison of Automotive Structures Using Transmissibility Functions and Principal Component Analysis [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367944783

    APA Style (7th edition)

  • Allemang, Matthew. Comparison of Automotive Structures Using Transmissibility Functions and Principal Component Analysis. 2013. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367944783.

    MLA Style (8th edition)

  • Allemang, Matthew. "Comparison of Automotive Structures Using Transmissibility Functions and Principal Component Analysis." Master's thesis, University of Cincinnati, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367944783

    Chicago Manual of Style (17th edition)

ucin1367944783
605
© 2013, some rights reserved.Creative Commons License Comparison of Automotive Structures Using Transmissibility Functions and Principal Component Analysis by Matthew R Allemang 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.