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

• Autore: Di Maio Dario
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2021; ©2022
• Descrizione fisica: 1 online resource (192 pages)
• Soggetto genere / forma: Electronic books.
• Altri autori: BaqersadJavad
• Nota di contenuto: Intro -- Preface -- Contents -- 1 WaveAR: A Real-Time Sensor-Based Augmented Reality Implementation for Operating Deflection Shapes -- 1.1 Introduction -- 1.2 Background -- 1.3 Technical Implementation -- 1.3.1 Acceleration and Simplification of the Measurement Configuration for Electromechanical Sensors -- 1.3.2 Universal Data Acquisition Interface -- 1.3.3 Real-Time Visualization in the Form of an AR Application -- 1.4 Measurement Setup -- 1.5 Analysis -- 1.6 Conclusion -- References -- 2 Full-Field 3D Mode Shape Measurement Using the Multiview Spectral Optical Flow Imaging Method -- 2.1 Introduction -- 2.2 Theoretical Background -- 2.3 Preliminary Experiment -- 2.4 Conclusions -- References -- 3 Stereophotogrammetry Camera Pose Optimization -- 3.1 Introduction -- 3.2 General Stereophotogrammetry Setup -- 3.3 Stereo Pose Optimization -- 3.3.1 User Inputs -- 3.3.2 Setup: Establish Bounding Box -- 3.3.3 Pose Estimation -- 3.3.4 Pose Validation -- 3.3.5 Evaluating Output and Final Pose Selection -- 3.4 Predicting Observable Pixel Displacements with FEM -- 3.4.1 Algorithm to Determine Node Visibility from Camera Placements -- 3.4.2 Definition of Frequency Response Functions to Assess Arbitrary Inputs -- 3.4.3 Transformation to Modal Coordinates to Acquire Pixel Displacements for Modes of Interest -- 3.5 Conclusions and Future Work -- References -- 4 Simplified Finite Element Models of Pyramidal Truss Sandwich Panels with Welded Joints for Dynamic Analysis and Their Experimental Validation -- 4.1 Introduction -- 4.2 Methodology -- 4.3 Results of Numerical Analysis -- 4.4 Experimental Validation -- 4.5 Conclusion -- References -- 5 Operational Modal Analysis of Rotating Structures Under Ambient Excitation Using Tracking Continuously Scanning Laser Doppler Vibrometry -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Experimental Setup -- 5.4 OMA Results. ; 5.5 Conclusion -- References -- 6 Delamination Detection in Fiber Metal Laminates Using Ultrasonic Wavefield Imaging -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Model Setup -- 6.4 Feature Extraction Process -- 6.4.1 Detrended Hilbert Envelope Magnitude (DHEM) -- 6.4.2 Low-Pass Local Phase Derivative (LLPD) -- 6.5 Qualitative Evaluation of the Feature Performance -- 6.5.1 Score Metric to Quantify the Feature Performance -- 6.5.2 Experimental Comparisons -- 6.6 Conclusion -- References -- 7 One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery -- 7.1 Introduction and Overview of One-Dimensional CNNs -- 7.2 Proposed Methodology -- 7.3 Laboratory Setup for Bearing Tests -- 7.4 Damage Detection Results -- 7.5 Performance Evaluation in the Presence of Noisy Data -- 7.6 Computational Complexity Analysis -- 7.7 Conclusions -- References -- 8 A Practical Guide to Motion Magnification -- 8.1 Introduction -- 8.2 Methodologies -- 8.2.1 Intensity -- 8.2.2 Fourier Transform -- 8.2.3 Complex Steerable Pyramid -- 8.2.4 Riesz Pyramid -- 8.3 General Guidelines for Use -- 8.4 Conclusion -- References -- 9 Squeeze Film Damper Experimental and Numerical Correlation: Test Setup Description and Parameter Identification of Dry System -- 9.1 Introduction -- 9.2 Damper Test Stand Description -- 9.3 Closed-Form Solution -- 9.4 Experimental Procedure and Results -- 9.5 Numerical Modeling Procedure and Results -- 9.5.1 Model Description -- 9.5.2 Diaphragm Stiffness from Model -- 9.5.3 Numerical Modal and Harmonic Analysis -- 9.6 Comparison -- 9.7 Conclusion -- References -- 10 Full-Field Modal Analysis by Using Digital Image Correlation Technique -- 10.1 Introduction -- 10.2 Background -- 10.2.1 Low Speed Camera for High Frequency Behavior Characterization -- 10.3 Experimental Setup and Results -- 10.3.1 Demo Airplane. ; 10.3.2 Car Tire -- 10.4 Conclusion -- References -- 11 Validating Complex Models Accurately and Without Contact Using Scanning Laser Doppler Vibrometry (SLDV) -- 11.1 Introduction -- 11.2 Test Case Scenarios for Vibrometry -- 11.3 Measurement Principle of a Vibrometer -- 11.4 Choosing a Vibrometer Configuration -- 11.5 Optimizing Setup and Test Parameters -- 11.6 Application Example 1: Modal Test on a Turbine Wheel [1] -- 11.7 Application Example 2: Traveling Ultrasonic Wave Analysis -- 11.8 Application Example 3: Dynamic Stress and Strain Characterization [2, 3] -- 11.9 Conclusion -- References -- 12 Effect of Different Test Setup Configurations on the Identification of Modal Parameters from Digital Image Correlation -- 12.1 Introduction -- 12.2 Aliased Acquisition with Low-Speed Camera -- 12.3 Experimental Setup -- 12.3.1 Test Item -- 12.3.2 FRF Testing -- 12.3.3 Camera Setup/Measurement Chain -- 12.4 Results -- 12.4.1 Type of Excitation -- 12.4.2 Number of Averages -- 12.4.3 Extended Frequency Range -- 12.4.4 Effect of Speckling the Surface -- 12.5 Conclusion -- References -- 13 WaveImage - Order ODS for Rotating Machineries -- 13.1 Introduction -- 13.2 Background -- 13.2.1 Order Analysis -- 13.2.2 Operating Deflection Shapes -- 13.2.3 Optical Flow Analysis -- 13.2.4 Measurement Setup -- 13.3 Analysis -- 13.4 Conclusion -- References -- 14 Multi-Level Damage Detection Using Octree Partitioning Algorithm -- 14.1 Introduction -- 14.2 The Proposed Algorithm -- 14.3 Conclusion -- References -- 15 Photogrammetry-Based Experimental Modal Analysis for Plate Structures -- 15.1 Introduction -- 15.2 Methodology -- 15.2.1 Kinematic Relation -- 15.2.2 Point-Tracking Technique -- 15.2.3 Photogrammetry-Based EMA -- 15.3 Experimental Investigation -- 15.3.1 Experimental Setup -- 15.3.2 Data Processing -- 15.3.3 EMA Method Results -- 15.4 Conclusion. ; References -- 16 An Optical Mode Shape-Based Damage Detection Using Convolutional Neural Networks -- 16.1 Introduction -- 16.2 Phase-Based Motion Magnification -- 16.3 Convolutional Neural Networks -- 16.4 Methodology -- 16.5 Conclusion -- References -- 17 Full-Field 3D Experimental Modal Analysis from Dynamic Point Clouds Measured Using a Time-of-Flight Imager -- 17.1 Introduction -- 17.2 Background -- 17.3 Analysis -- 17.4 Conclusions -- References -- 18 Application of a U-Net Convolutional Neural Network to Ultrasonic Wavefield Measurements for Defect Characterization -- 18.1 Introduction -- 18.2 Background -- 18.2.1 Convolutional Neural Networks -- 18.2.2 Image Segmentation -- 18.3 Methodology -- 18.3.1 Project Overview -- 18.3.2 Dataset Generation -- 18.3.3 Image Processing -- 18.3.4 Data Augmentation -- 18.3.5 CNN Training -- 18.4 Results and Discussion -- 18.5 Conclusion -- References -- 19 Application of the RASTAR Method to Continuous Scanning LDV Measurements -- 19.1 Introduction -- 19.2 Test Structure, Setup, and Experimental Method -- 19.3 Results and Analysis -- 19.4 Conclusions -- References.
• Altri titoli varianti: Rotating Machinery, Optical Methods and Scanning LDV Methods, Volume 6
• Titolo autorizzato: Rotating Machinery, Optical Methods and Scanning LDV Methods, Volume 6
• ISBN: 3-030-76335-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910497102603321
• Lo trovi qui: Univ. Federico II
• Serie: Conference Proceedings of the Society for Experimental Mechanics Ser.