Niezrecki / Baqersad / Di Maio Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019

E-Book, Englisch, 122 Seiten, eBook

Reihe: Conference Proceedings of the Society for Experimental Mechanics Series

ISBN: 978-3-030-12935-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)



Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, 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 TechniquesOptical Methods,Scanning LDV MethodsPhotogrammetry & DICRotating Machinery
Niezrecki / Baqersad / Di Maio Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


1;Preface;6
2;Contents;7
3;1 Detection of Sources of Nonlinearity in Multiple Bolted Joints by Use of Laser Vibrometer;8
3.1;1.1 Introduction;8
3.2;1.2 Test Structure, Setup and Experimental Method;9
3.3;1.3 Theoretical Method;10
3.4;1.4 Preliminary Analysis;12
3.5;1.5 Characterisation of the Nonlinearity;14
3.6;1.6 Conclusions;19
3.7;References;20
4;2 Single High-Speed Camera Based 3D Deflection Reconstruction in Frequency Domain;21
4.1;2.1 Introduction;21
4.2;2.2 Measurement Setup;21
4.3;2.3 Image Based 2D Displacement Measurement;22
4.4;2.4 Multiview Geometry and Triangulation;22
4.5;2.5 Results;23
4.6;References;23
5;3 Operational Modal Analysis of a Thin-Walled Rocket Nozzle Using Phase-Based Image Processing and Complexity Pursuit;24
5.1;3.1 Introduction;24
5.2;3.2 Methods;25
5.2.1;3.2.1 2-Dimensional Point Tracking (2DPT);25
5.2.2;3.2.2 Phase-Based Motion Amplification (PMA);26
5.2.3;3.2.3 Modal Parameter Estimation Using Complexity Pursuit;26
5.3;3.3 Experiments;27
5.3.1;3.3.1 Numerical Simulation;27
5.3.2;3.3.2 Nozzle Experiment;29
5.4;3.4 Results and Discussion;29
5.4.1;3.4.1 Results of the Numerical Study;29
5.4.2;3.4.2 Results of the Nozzle Experiment;31
5.5;3.5 Conclusion;32
5.6;References;33
6;4 Full-Field Strain Shape Estimation from 3D SLDV;35
6.1;4.1 Introduction;35
6.2;4.2 Test Structure and Setup;36
6.3;4.3 Overview of Methods and Tools;37
6.3.1;4.3.1 Gaussian Filter;37
6.3.2;4.3.2 Strain Post-processor;39
6.3.3;4.3.3 SEREP;40
6.4;4.4 LDV Direct Methods;42
6.5;4.5 LDV Transformation Methods;43
6.6;4.6 Comparison of Methods;47
6.7;4.7 Conclusions;49
6.8;References;49
7;5 Characterization of a Small Electro-Mechanical Contact Using LDV Measurement Techniques;50
7.1;5.1 Introduction;50
7.2;5.2 Experimental Setup;51
7.3;5.3 Testing and Results;51
7.4;5.4 Model Validation;57
7.5;5.5 Conclusion;57
7.6;References;61
8;6 Remote Detection of Abnormal Behavior in Mechanical Systems;62
8.1;6.1 Introduction and Motivation;62
8.2;6.2 Background;63
8.2.1;6.2.1 Modeling;63
8.2.2;6.2.2 Data Acquisition;63
8.2.3;6.2.3 Signal Processing;64
8.2.4;6.2.4 Machine Learning and Data Fusion;64
8.3;6.3 Experimental Setup;65
8.3.1;6.3.1 Data Acquisition Hardware and Testing Parameters;65
8.3.2;6.3.2 Local Sensing Channels;65
8.3.3;6.3.3 Remote Sensing Channels;66
8.4;6.4 Data Collection and Signal Processing;67
8.5;6.5 Data Analysis;67
8.5.1;6.5.1 Feature Selection;67
8.6;6.6 Results;68
8.7;6.7 Conclusions;71
8.8;References;71
9;7 Modal Analysis of a High-Speed Turbomachinery for Reliable Prediction of RD Properties Throughout Operating Speed Range;73
9.1;7.1 Introduction;73
9.2;7.2 Method;73
9.3;7.3 Results;74
9.4;7.4 Conclusion;75
9.5;References;76
10;8 Mapping Motion-Magnified Videos to Operating Deflection Shape Vectors Using Particle Filters;77
10.1;8.1 Introduction;77
10.2;8.2 Particle Filter for Point Tracking;78
10.3;8.3 Experimental Test-Setup;80
10.4;8.4 Quantifying the ODS Vectors;80
10.5;8.5 Conclusions;84
10.6;References;85
11;9 Structural Health Monitoring of Wind Turbines Using a Digital Image Correlation System on a UAV;86
11.1;9.1 Introduction;86
11.2;9.2 Methodology;87
11.3;9.3 Laboratory Results/Validation;88
11.4;9.4 Outdoor Measurement;89
11.5;9.5 Conclusion;91
11.6;References;91
12;10 Full-Field Mode Shape Identification of Vibrating Structures from Compressively Sampled Video;93
12.1;10.1 Introduction;93
12.2;10.2 Background;95
12.3;10.3 Experimental Setup;96
12.4;10.4 Analysis;96
12.5;10.5 Conclusions;98
12.6;References;98
13;11 Experimental Modal Analysis of Tumorigenesis and Cancer Metastasis;100
13.1;11.1 Introduction;100
13.2;11.2 Conclusion;102
13.3;References;102
14;12 Full Field Strain Measurements Using 3D Laser Vibrometry;103
14.1;12.1 Introduction;103
14.2;12.2 Background;103
14.2.1;12.2.1 3D Laser Vibrometry;103
14.3;12.3 Experimental Setup;104
14.3.1;12.3.1 Rectangular Coupon;104
14.3.2;12.3.2 Excitation Method;105
14.3.3;12.3.3 Coffin Coupon;105
14.3.4;12.3.4 Surface Treatment;106
14.3.5;12.3.5 Elevated Temperature;106
14.4;12.4 Results and Discussion;107
14.4.1;12.4.1 Temperature Drift;107
14.4.2;12.4.2 Data Processing;107
14.4.3;12.4.3 Displacement;108
14.4.4;12.4.4 Strain;109
14.4.5;12.4.5 Elevated Temperature Signal;110
14.5;12.5 Future Work;110
14.6;12.6 Conclusions;110
14.7;References;110
15;13 Output-Only Modal Parameter Estimation Using a Continuously Scanning Laser Doppler Vibrometer System with Application to Structural Damage Detection;111
15.1;13.1 Introduction;111
15.2;13.2 Methodology;112
15.2.1;13.2.1 Free Response of a Damped Structure;112
15.2.2;13.2.2 Free Response Shapes;114
15.2.3;13.2.3 OMPE Method;115
15.2.4;13.2.4 Baseline-Free Structural Damage Identification;116
15.3;13.3 Numerical Investigation;117
15.4;13.4 Conclusions;121
15.5;Appendix: Short-Time Fourier Transform;122
15.6;References;122


C. Niezrecki, University of Massachusetts at Lowell, MA, USA


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.