Computer Vision & Laser Vibrometry, Volume 6 Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023

Preface 1 Optical Motion Magnification: A Comparative Study and Application for Vibration Analysis 2 To the Moon! Space Launch System Modal Testing with Video and Motion Magnification 3 Effects of Image-Pair Processing Styles on Phase-Based Motion Extraction 4 Experiment-based optical full-field receptances in the approximation of sound radiation from a vibrating plate 5 Measurements of Panel Vibration with DIC and LDV Imaged Through a Mach 5 Flow 6 Experimental Quantification of Sensor-Based Stereocameras’ Extrinsic Parameters Calibration 7 Toward Camera-Based Monitoring of Abdominal Aortic Aneurysms (AAAs) 8 Measuring 3D Vibrations Amplitude with a Single Camera and a Model of the Vibrating Structure 9 Risk tolerance mapping in dynamically loaded structures as excitation dependency by means of full-field receptances 10 Lightweight Internal Damage Segmentation Using Thermography with and Without Attention-Based Generative Adversarial Network 11 A Novel Framework for the Dynamic Characterization of Civil Structures Using 3D Terrestrial Laser Scanners 12 Orthorectification for Dense Pixel-Level Spatial Calibration for Video-Based Structural Dynamics 13 Digital Twins for Photorealistic Event-Based Structural Dynamics 14 Multi-path Vibrometer-Based Strain Measurement Technique for Very High Cycle Fatigue (VHCF) Testing 15 Measurement of Airborne Ultrasound Using Laser Doppler Vibrometry 16 Modal Identification of a Turbine Blade with a Curved Surface Under Random Excitation by a 3D CSLDV System and the Extended Demodulation Method 17 Operational Modal Analysis of a Rotating Structure Using Image-Based Tracking Continuously Scanning Laser Doppler Vibrometry via a Novel Edge Detection Method 18 Detection of Missing Rail Fasteners Using Train-Induced Ultrasonic Guided Waves: A Numerical Study 19 Dynamic Mode Decomposition for Resonant Frequency Identification of Oscillating Structures 20 Time-Inferred Autoencoder for Construction and Prediction of Spatiotemporal Characteristics from Dynamic Systems Using Optical Data 21 Rotational Operating Deflection Shapes Analysis with High-Speed Camera.

Biography

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