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Special Topics in Structural Dynamics & Experimental Techniques, Volume 5
Preface
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Contents
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1 A Comparative Study of Joint Modeling Methods and Analysis of Fasteners
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Nomenclature
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1.1 Introduction
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1.2 Modeling Methods for Fastener Joints
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1.2.1 Tied Surfaces at Joint: Tied Contact Method
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1.2.2 Spring Model of Fastener: Spring Method
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1.2.3 Beam Model of Fastener: Beam Method
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1.2.4 Solid Model of Fastener: Plug Method
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1.2.5 Cylinder of Solid Elements: Ring Method
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1.2.6 Including Preload and Fastener Properties: Ring-Beam Method
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1.2.7 Frustrum Calculation
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1.3 Example Problem
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1.4 Results
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1.4.1 Modal Comparisons
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1.4.2 Random Vibration Comparisons
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1.5 Conclusion
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References
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2 Historical Perspective of the Development of Digital Twins
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2.1 Background
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2.2 Pre-delivery Usage
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2.2.1 Design Usage
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2.2.2 Manufacturing Usage
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2.3 Asset Management Usage
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2.3.1 Life-Cycle Determination
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2.3.2 VVUQ
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2.4 Digital Twin Hierarchy
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2.5 Conclusions
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References
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3 Distributed Home Labs at the Time of the Covid
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3.1 Introduction
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3.2 Experimental Laboratories as a Tool for Practitioner Engineering
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3.3 The New Revolution Offered by Microelectronics
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3.4 The Smartphone: A Complete Measurement Lab
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3.5 Some Preliminary Attempts with Small Groups on Research Projects
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3.6 Some of the Most Interesting Projects
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3.7 Final Remarks and Conclusions
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References
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4 Closed-Form Solutions for the Equations of Motion of the Heavy Symmetrical Top with One Point Fixed
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4.1 Background
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4.2 Derivation of the EOM
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4.3 The Cubic Polynomial f(u)
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4.4 General Closed-Form Solution of the EOM
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4.5 Closed-Form Solution for h == 1
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4.6 Closed-Form Solution for h == 2
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4.7 Conclusion
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References
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5 Equations of Motion for the Vertical Rigid-Body Rotor: Linear and Nonlinear Cases
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5.1 Definition of the Equations of Motion
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5.2 Kinetic Energy of a Rigid-Body Rotor
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5.3 Nonlinear Generalized Forces
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5.4 Linear Form of the EOM
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5.5 Results from the Linear Example
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5.6 Procedure for Solving of the Nonlinear EOM
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5.7 Results for the Nonlinear Example
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5.8 Example That Exhibits Chaotic Behavior
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5.9 Duffing Equation
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5.10 Conclusions
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A.1 Appendix A
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References
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6 Vibration Control in Meta-Structures Using Reinforcement Learning
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6.1 Introduction
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6.2 Q-Learning Algorithm Framework
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6.3 Conclusion
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References
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7 Using Steady-State Ultrasonic Direct-Part Measurements for Defect Detection in Additively Manufactured Metal Parts
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7.1 Introduction
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7.1.1 Defects in Additively Manufactured Parts
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7.1.2 Quality Control and Non-destructive Evaluation
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7.1.3 Acoustic Wavenumber Spectroscopy
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7.2 Background
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7.2.1 Materials
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7.2.2 In Situ Data Acquisition Process
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7.3 Analysis
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7.3.1 Post-build Data Processing
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7.3.2 Defect-Indicative Features
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7.3.3 X-Ray Computed Tomography Labeling
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7.3.4 Results
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7.3.5 Future Work
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7.4 Conclusion
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A.1 Appendix A: Montage of Figures
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References
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8 Toward Developing Arrays of Active Artificial Hair Cells
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8.1 Introduction
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8.2 Array of Self-Sensing Artificial Hair Cells
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8.3 AHC Array Simulation Results
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8.4 AHC Array Simulation Results
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8.5 Conclusion
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References
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9 Challenges Associated with In Situ Calibration of Load Cells in Force-Limited Vibration Testing
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9.1 Introduction
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9.2 Test Setup
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9.3 Apparent Mass Calculation
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9.4 Load Cell Summing Implications on In Situ Calibration
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9.5 Conclusion
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References
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