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Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Dario Di Maio

    1. University of Twente, Enschede, Twente, The Netherlands

  2. Javad Baqersad

    1. Kettering University, Flint, USA

  • 10k Accesses

  • 1 Citation

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About this book

Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020, the sixth volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring, including papers on:

Novel Techniques

Optical Methods,

Scanning LDV Methods

Photogrammetry & DIC

Rotating Machinery

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Table of contents (19 papers)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Paper Machine Winder Vibration Testing Using TVDFT

    • Jake Zwart, Derek Lindgren
    Pages 1-16

  3. Measurement Methods for Evaluating the Frequency Response Function of a Torque Converter Clutch

    • Luke Jurmu, Darrell Robinette, Jason Blough, Eric Mordorski, Craig Reynolds
    Pages 17-25

  4. Frequency-Domain Triangulation of Spatial Harmonic Motion for Single-Camera Operating Deflection Shape Measurement

    • Domen Gorjup, Janko Slavič, Miha Boltežar
    Pages 27-30

  5. Investigating the Feasibility of Laser-Doppler Vibrometry for Vibrational Analysis of Living Mammalian Cells

    • Sascha Schwarz, Stefanie Kiderlen, Robert Moerl, Stefanie Sudhop, Hauke Clausen-Schaumann, Daniel J. Rixen
    Pages 31-36

  6. Visio-Acoustic Data Fusion for Structural Health Monitoring Applications

    • Chad R. Samuelson, Caitrin A. Duffy-Deno, Christopher B. Whitworth, David D. L. Mascareñas, Jeffery D. Tippmann, Alessandro Cattaneo
    Pages 37-51

  7. Automatic Interpolation for the Animation of Unmeasured Nodes with Differential Geometric Methods

    • Daniel Herfert, Kai Henning, Jan Heimann
    Pages 53-59

  8. Measurement and Analysis of the Nonlinear Stiffness of CFRP Components during Vibration Fatigue Testing

    • Michele Peluzzo, Dario Di Maio, Andrea Cammarano, Paolo Castellini
    Pages 61-71

  9. Model Reduction of Electric Rotors Subjected to PWM Excitation for Structural Dynamics Design

    • Margaux Topenot, Gaël Chevallier, Morvan Ouisse, Damien Vaillant
    Pages 73-78

  10. Fast Computation of Laser Vibrometer Alignment Using Photogrammetric Techniques

    • Daniel P. Rohe, Bryan L. Witt
    Pages 79-85

  11. Photogrammetry-Based Structural Damage Detection by Tracking a Laser Line

    • Y. F. Xu
    Pages 87-99

  12. Measuring Aero-Engine Pipe Vibration with a 3D Scanning Laser Doppler Vibrometer

    • Christoph W. Schwingshackl
    Pages 101-104

  13. A “Mechanical” Vision of Image-Based Identification methods in Structural Dynamics

    • Paolo Castellini, Emanuele Zappa
    Pages 105-108

  14. Modelling of Guided Waves in a Composite Plate Through a Combination of Physical Knowledge and Regression Analysis

    • Marcus Haywood-Alexander, Tim J. Rogers, Keith Worden, Robert J. Barthorpe, Elizabeth J. Cross, Nikolaos Dervilis
    Pages 109-114

  15. Improved FRF Estimation from Noisy High-Speed Camera Data Using SEMM

    • Tomaž Bregar, Klemen Zaletelj, Gregor Čepon, Janko Slavič, Miha Boltežar
    Pages 115-118

  16. Full-Field Modal Analysis by Using Digital Image Correlation Technique

    • Emilio Di Lorenzo, Davide Mastrodicasa, Lukas Wittevrongel, Pascal Lava, Bart Peeters
    Pages 119-130

  17. Method for Selecting Rotor Suspension Design Criteria

    • Brian Damiano
    Pages 131-138

  18. Implementation of Total Variation Applied to Motion Magnification for Structural Dynamic Identification

    • Nicholas A. Valente, Zhu Mao, Matthew Southwick, Christopher Niezrecki
    Pages 139-144

  19. A Complex Convolution Based Optical Displacement Sensor

    • Matthew Southwick, Zhu Mao, Nicholas A. Valente, Christopher Niezrecki
    Pages 145-153

  20. Current Methods for Operational Modal Analysis of Rotating Machinery and Prospects of Machine Learning

    • German Sternharz, Tatiana Kalganova
    Pages 155-163
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Editors and Affiliations

  • University of Twente, Enschede, Twente, The Netherlands

    Dario Di Maio

  • Kettering University, Flint, USA

    Javad Baqersad

About the editors

D. Di Maio, University of Bristol, Bristol, UK; J. Baqersad, Kettering University, MI, USA.

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