Intro
Preface
Contents
1 Optimal Sensor Placement and Model Updating of Axial Compressor Casing Components
1.1 Introduction
1.2 Methodology
1.3 Results
1.4 Comparison Between Experiment and Model
1.5 Conclusion
References
2 Numerical and Analytical Study of the Phase Resonances of a Duffing Oscillator
2.1 Introduction
2.2 Primary Resonance
2.3 3:1 Superharmonic Resonance
2.4 1:3 Subharmonic Resonance
2.5 Results
2.6 Conclusion
References
3 Robot-Driven Modal Testing for On-Orbit Servicing, Assembly, and Manufacturing
3.1 Introduction

3.2 Preliminaries: Relationship Between Robot Actuation and Modal Testing
3.3 Drive Point Selection and Orientation
3.4 Selection of Excitation Magnitude
3.5 Robot Pose Selection
3.5.1 Two-Joint Robot (Regime A)
3.5.2 Three-Joint Robot (Regime B)
3.5.3 Four-Joint Robot (Regime C)
3.6 Modal Test Demonstration
3.7 Conclusions
References
4 Comparison of Automated Operational Modal Analysis Algorithms for Long-Span Bridge Applications
4.1 Introduction
4.2 Theoretical Summary
4.2.1 Covariance-Driven Stochastic Subspace Identification

4.3 Automatic Operational Modal Identification Algorithms
4.3.1 Magalhaes 2008
4.3.2 Reynders 2012
4.3.3 Yang 2019
4.3.4 Kvåle 2020
4.4 Case Study
4.5 Results
4.6 Conclusion
References
5 Investigating the Modal Behavior of a Violin Top and a Back Plate
5.1 Introduction
5.2 Identifying Material Parameters of Violin Plate Raw Woods
5.3 Modal Analysis of the Violin Plates
5.4 The Influence of the Support Stiffness on the Eigenfrequencies of Violin Plates
5.5 Conclusion
References

6 On the Use of Cycle-Consistent Generative Adversarial Networks for Nonlinear Modal Analysis
6.1 Introduction
6.2 Generative Adversarial Networks
6.3 Modal Analysis Using a Cycle-GAN
6.4 Applications
6.4.1 Two-Degree-of-Freedom System
6.4.2 Three-Degree-of-Freedom System
6.4.3 Experimental System
6.5 Conclusions
References
7 Frequency Response Function Estimation for Systems with Multiple Inputs Using Short Measurement: A Benchmark Study
7.1 Introduction
7.2 Basics
7.2.1 Considered Systems
7.2.2 MIMO Baseline Model

7.2.3 Hadamard Decorrelation Technique
7.2.4 Classical H1 Estimator
7.3 Proposed Methodology
7.3.1 A Realistic Baseline Model
7.3.2 The Cost Function
7.4 Experimental Illustration
7.4.1 Short Description of the Tire Suspension Measurement
7.4.2 Data Preprocessing
7.4.3 Testing Process
7.5 Conclusions
References
8 Dynamic Stress Measurement and Data Correlation Analysis for Aircraft Engine Blades
8.1 Introduction
8.2 Methodology
8.3 Calibration Tests
8.3.1 Test Procedures
8.3.2 Test Data
8.4 Engine Tests
8.4.1 Test Introduction