SPECIAL TOPICS IN STRUCTURAL DYNAMICS & EXPERIMENTAL TECHNIQUES, VOLUME 5

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
		Overall Performance
		Model Variation
		Additional Considerations
	Conclusions
	References
11 Vibration Mitigation of Bladed Structures Using Piezoelectric Digital Vibration Absorbers
	Introduction
	Background
	Results
	Conclusion
	References
12 An Open-Source Automatic Modal Hammer Suitable for Studying Nonlinear DynamicalSystems
	Introduction
	Methods
	Results
	References
13 Crack Diagnosis and Prognosis of Miter Gates Based on a Global-Local Model and Image Observations
	Introduction
	IGL Algorithm
	Image-Based Measurements
	Online Diagnosis and Prognosis
	Results
	Conclusion
	References
14 A Hierarchical Filtering Approach for Online Damage Detection Using Parametric Reduced-Order Models
	Introduction
	Methodology
	Results
	Conclusions
	References
15 A Tutorial on an Open-Source Python Package for Frequency-Based Substructuring and Transfer Path Analysis
	Introduction
	Recap of the Existing pyFBS Features
		Test Structure Datasets
		3D Display
		FRF Synthetization
		Virtual Point Transformation
		System-Equivalent Model Mixing
		Source Characterization with the In-Situ TPA
	Additional Features of pyFBS
		Singular Vector Transformation
		Operational System Identification
	Conclusions
	References
16 Miniature Underwater Robot  – An Experimental Case Study
	Introduction
	Experiments and Analysis
	Conclusion
	References
17 Benefits of Using a Portable Coordinate Measurement Machine to Measure a Modal Test Geometry
	Introduction
	Standard Geometry Generation Methods
	Basic Process for Generating Test Geometries with a PCMM
		Defining the Locations of Triaxial Accelerometers
		Defining the Locations of Uniaxial Accelerometers
		Converting the Probe Data into a Test Geometry
	Measuring Probe Data on Large Structures
	Comments on Accuracy
	Identifying Specified Measurement Locations
	Benefits from Using the PCMM and Geometry Generation Script
	Conclusions
	References