Intro
Preface: SEM 2022 IMAC XL
Volume 5
Contents
1 Multi-Cellular Damping for Composite Material Applications
1.1 Introduction
1.2 Background
1.3 Analysis
1.4 Conclusion
References
2 Novel Data Acquisition Utilising a Flask Python Digital Twin Operational Platform
2.1 Introduction
2.2 Digital Twin Operational Platform
2.2.1 DTOP-Cristallo
2.3 Experimental System
2.3.1 Setup
2.3.2 Code
2.4 Results
2.5 Conclusions
References
3 Model Validation for Combined Inertial Acceleration and Vibration Environments
3.1 Introduction

3.2 Unit Description
3.2.1 Design
3.2.2 Centrifuge Setup
3.3 Experimental Characterization
3.3.1 Modal Testing
3.3.2 Vibrafuge Testing
3.4 Finite Element Analysis
3.4.1 Modal Analysis
Model Calibration
Preloaded/Handoff Modal
3.4.2 Random Vibration Analysis
Loading Cases
Random Vibration Loading
Random Vibration Results
3.5 Conclusion
A.1 Appendix
References
4 Modal Testing with Piezoelectric Stack Actuators
4.1 Introduction
4.2 Transfer Function Derivation
4.3 Experimental Application
4.4 Conclusions
References

5 Generative Adversarial Networks for Labelled Vibration Data Generation
5.1 Introduction
5.1.1 Problems
5.1.2 Background
5.1.3 Objective of the Study
5.2 Workflow
5.2.1 Data and Equipment
5.2.2 Data Preprocessing
5.2.3 Model Architecture
5.2.4 Fine-Tuning for Training
5.2.5 Evaluation and Interpretation of the Results
5.3 Conclusion
References
6 Validation of an Impulse Response Filter for Impact Force Reconstruction on a Hammer Drill
6.1 Introduction
6.2 Impulse Response Filter
6.3 Validation Case
6.4 Conclusion
References

7 Determination of Nonlinear Joint Forces and Nonlinear Identification of Jointed Connections Using FRFs
7.1 Introduction
7.2 Theory
7.3 Results
7.4 Conclusion
References
8 Investigation of Using Log-Spectrum Averaging (Cepstral Averaging) for Blind Reconstruction of an Unknown Impact Input Force
8.1 Introduction
8.2 Methodology
8.3 Simulation Results
8.3.1 FE Model and Simulation Parameters
8.3.2 Blind ILP Result (Noise-Free Case)
8.4 Discussion
8.5 Conclusion
References

9 The Application of a Force Identification Method Based on Particle Swarm Optimization to Compression Steel Bars
9.1 Introduction
9.2 Theoretical Model
9.3 Experimental Setup
9.4 Experimental Results
9.5 Conclusion
Appendix
References
10 Degree of Freedom Selection Approaches for MIMO Vibration Test Design
Introduction
Theory
Sensor Selection Approach
Optimal Experimental Design
Test Design
Model
Field Environment
Laboratory Conditions
Analysis Steps
Results
Single Example
Nominal Laboratory Model
Nominal Field Model
Environment A