Topics in Modal Analysis & Parameter Identification, Volume 8: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 ... Society for Experimental Mechanics Series)

Topics in Modal Analysis & Testing, Volume 8: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the eighth volume of nine 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 Modal Analysis, including papers on: Operational Modal & Modal Analysis Applications Experimental Techniques Modal Analysis, Measurements & Parameter Estimation Modal Vectors & Modeling Basics of Modal Analysis Additive Manufacturing & Modal Testing of Printed Parts 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 8.4.2 Test Data 8.4.3 Data Difference Analysis 8.5 Conclusion References 9 Real-Time Estimation of Unmeasured Vibro-acoustic Responses Using Inverse Force Identification Technique 9.1 Introduction 9.2 Identification of Unmeasured Applied Force 9.3 Experimental Study 9.4 Conclusion References 10 Robust Identification of Stable MIMO Modal State Space Models 10.1 Introduction 10.2 Modal State Space Model Identification with Residual Compensation Modes 10.2.1 Modal Model Identification 10.2.2 Modal State Space Model with Residual Compensation Modes 10.3 Validation Use Cases 10.3.1 Experimental Two-Speaker Setup 10.3.2 Full Car Modal Testing 10.4 Conclusion References 11 Characterization of Fluid-Filled Tank and Mode Shape Identification: Approach via Cryogenic Fluid Substitution by Granular Meta-material 11.1 Extended Proceedings 11.1.1 Introduction 11.1.2 Experimental Setup Description 11.1.3 Preliminary Results and Discussion 11.1.4 Conclusions References 12 A Novel Unsupervised Deep Learning Method with a Convolutional Neural Network for Structural Damage Detection 12.1 Introduction 12.2 Damage Detection Method 12.2.1 Unsupervised CNN for Data Reconstruction 12.2.2 Extraction of Damage-Sensitive Features 12.2.3 Damage Detection with Mahalanobis Distance 12.3 Experimental Setup 12.4 Case Studies 12.5 Conclusion References 13 Vibration Reduction of a Compliant Panel Under Ramp-Induced Shock Wave/Boundary Layer Interaction Through Aeroelastic Tailoring 13.1 Introduction 13.2 Experimental Setup 13.3 Supersonic Flow Environment 13.4 Structural Modifications 13.5 Experimental Modal Analysis 13.6 Panel Vibration with Flow 13.7 Comparison of Power Spectra 13.8 Operational Deflection Shapes and Energy 13.9 Conclusion References 14 Quantifying Data Duration Requirements for Output-Only Frequency Identification of a Vehicle 14.1 Introduction 14.2 Background 14.3 Simulation of Regular Driving Conditions 14.4 Results 14.5 Conclusion References 15 A Physics-Based Reduced Order Model with Machine Learning-Boosted Hyper-Reduction 15.1 Introduction 15.2 Problem Statement and ROM Formulation 15.2.1 Projection-Based pROMs and POD Basis Assembly 15.2.2 Localized pROMs and Modal Assurance Criterion-Based Clustering 15.2.3 Hyper-Reduction Strategy 15.3 Approach Conceptualization and Implementation Details 15.4 Results 15.5 Discussion and Limitations References 16 Sub-Band Decomposition Based-Linear Normal Mode Identification 16.1 Introduction 16.2 Smooth Orthogonal Decomposition 16.3 Methodology 16.4 Case Study: Forced Cantilever Beam 16.5 Preliminary Results 16.6 Conclusion References 17 Experimental Verification of 1D Lumped Parameter Model of Mass-Conserved Metastructure 17.1 Introduction and Background 17.2 1D Lumped Parameter Model 17.3 Metastructure Parameters 17.4 Experimental Setup 17.5 Analysis 17.6 Conclusion and Future Work References 18 How to Educate Decision Makers on the Value and Necessity of Modal Testing and Model Correlation: Tips for Young Engineers 18.1 Background 18.2 Decision Makers: Cost, Schedule, and Risk 18.3 Engineers: Modal Testing, Model Correlation, and Finite Element Model Accuracy/Uncertainty 18.4 Engineers Not Knowing What They Don't Know 18.5 Conclusions References 19 Accelerance Decoupling: An Approach for Removing the Influence of the Test Stand from the Integrated Modal Test Acronyms 19.1 Introduction 19.2 Methodology 19.3 Models 19.4 Receptance Coupling: Checkouts 19.5 SLS Coupled Versus Free Response 19.6 Accelerance Decoupling Verification and Stress Testing 19.7 Concluding Remarks References