LEADER 09724nam 22007455 450 001 9910523721203321 005 20230810173057.0 010 $a3-030-76335-8 024 7 $a10.1007/978-3-030-76335-0 035 $a(CKB)4100000012009051 035 $a(MiAaPQ)EBC6712966 035 $a(Au-PeEL)EBL6712966 035 $a(DE-He213)978-3-030-76335-0 035 $a(PPN)257352163 035 $a(EXLCZ)994100000012009051 100 $a20210825d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 $eProceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 /$fedited by Dario Di Maio, Javad Baqersad 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (192 pages) 225 1 $aConference Proceedings of the Society for Experimental Mechanics Series,$x2191-5652 311 $a3-030-76334-X 327 $aIntro -- 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. 327 $a5.5 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. 327 $a10.3.2 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. 327 $aReferences -- 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. 330 $aRotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the sixth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring, including papers on: Novel Techniques Optical Methods, Scanning LDV Methods Photogrammetry & DIC Rotating Machinery. 410 0$aConference Proceedings of the Society for Experimental Mechanics Series,$x2191-5652 606 $aMachinery 606 $aMicroscopy 606 $aAerospace engineering 606 $aAstronautics 606 $aAlgorithms 606 $aMathematics$xData processing 606 $aMachinery and Machine Elements 606 $aOptical Microscopy 606 $aAerospace Technology and Astronautics 606 $aAlgorithms 606 $aComputational Mathematics and Numerical Analysis 615 0$aMachinery. 615 0$aMicroscopy. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aAlgorithms. 615 0$aMathematics$xData processing. 615 14$aMachinery and Machine Elements. 615 24$aOptical Microscopy. 615 24$aAerospace Technology and Astronautics. 615 24$aAlgorithms. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a543.0858 700 $aDi Maio$b Dario$01077026 702 $aBaqersad$b Javad 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523721203321 996 $aRotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6$93564782 997 $aUNINA