Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021

Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the sixth volume of nine 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

Table of Contents:
Preface 1 WaveAR: A Real-Time Sensor-Based Augmented Reality Implementation for Operating Deflection Shapes 2 Full-Field 3D Mode Shape Measurement Using the Multiview Spectral Optical Flow Imaging Method 3 Stereophotogrammetry Camera Pose Optimization 4 Simplified Finite Element Models of Pyramidal Truss Sandwich Panels with Welded Joints for Dynamic Analysis and Their Experimental Validation 5 Operational Modal Analysis of Rotating Structures Under Ambient Excitation Using Tracking Continuously Scanning Laser Doppler Vibrometry 6 Delamination Detection in Fiber Metal Laminates Using Ultrasonic Wavefield Imaging 7 One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery 8 A Practical Guide to Motion Magnification 9 Squeeze Film Damper Experimental and Numerical Correlation: Test Setup Description and Parameter Identification of Dry System 10 Full-Field Modal Analysis by Using Digital Image Correlation Technique 11 Validating Complex Models Accurately and Without Contact Using Scanning Laser Doppler Vibrometry (SLDV) 12 Effect of Different Test Setup Configurations on the Identification of Modal Parameters from Digital Image Correlation 13 WaveImage – Order ODS for Rotating Machineries 14 Multi-Level Damage Detection Using Octree Partitioning Algorithm 15 Photogrammetry-Based Experimental Modal Analysis for Plate Structures 16 An Optical Mode Shape-Based Damage Detection Using Convolutional Neural Networks 17 Full-Field 3D Experimental Modal Analysis from Dynamic Point Clouds Measured Using a Time-of-Flight Imager 18 Application of a U-Net Convolutional Neural Network to Ultrasonic Wavefield Measurements for Defect Characterization 19 Application of the RASTAR Method to Continuous Scanning LDV Measurements.

About the Author :
Dario Di Maio, MS3, University of Twente, ENSCHEDE, The Netherlands. Javad Baqersad, Kettering University, Flint, USA.