Advanced Structural Damage Detection – From Theory to Engineering Applications

Structural Health Monitoring (SHM) is the interdisciplinary engineering field devoted to the monitoring and assessment of structural health and integrity. SHM technology integrates non-destructive evaluation techniques using remote sensing and smart materials to create smart self-monitoring structures characterized by increased reliability and long life. Its applications are primarily systems with critical demands concerning performance where classical onsite assessment is both difficult and expensive. Advanced Structural Damage Detection: From Theory to Engineering Applications is written by academic experts in the field and provides students, engineers and other technical specialists with a comprehensive review of recent developments in various monitoring techniques and their applications to SHM. Contributing to an area which is the subject of intensive research and development, this book offers both theoretical principles and feasibility studies for a number of SHM techniques. Key features: * Takes a multidisciplinary approach and provides a comprehensive review of main SHM techniques * Presents real case studies and practical application of techniques for damage detection in different types of structures * Presents a number of new/novel data processing algorithms * Demonstrates real operating prototypes Advanced Structural Damage Detection: From Theory to Engineering Applications is a comprehensive reference for researchers and engineers and is a useful source of information for graduate students in mechanical and civil engineering

Table of Contents:
List of Contributors xi Preface xiii Acknowledgments xvii 1 Introduction 1 1.1 Introduction 1 1.2 Structural Damage and Structural Damage Detection 2 1.3 SHM as an Evolutionary Step of NDT 4 1.4 Interdisciplinary Nature of SHM 5 1.5 Structure of SHM Systems 9 1.6 Aspects Related to SHM Systems Design 12 References 15 2 Numerical Simulation of ElasticWave Propagation 17 2.1 Introduction 17 2.2 Modelling Methods 18 2.3 Hybrid and Multiscale Modelling 29 2.4 The LISA Method 33 2.5 Coupling Scheme 39 2.6 Damage Modelling 47 2.7 Absorbing Boundary Conditions for Wave Propagation 48 2.8 Conclusions 50 References 51 3 Model Assisted Probability of Detection in Structural Health Monitoring 57 3.1 Introduction 57 3.2 Probability of Detection 58 3.3 Theoretical Aspects of POD 59 3.4 From POD to MAPOD 64 3.5 POD for SHM 65 3.6 MAPOD of an SHM System Considering Flaw Geometry Uncertainty 66 3.7 Conclusions 70 References 71 4 Nonlinear Acoustics 73 4.1 Introduction 73 4.2 Theoretical Background 75 4.3 Damage Detection Methods and Applications 85 4.4 Conclusions 103 References 104 5 Piezocomposite Transducers for Guided Waves 109 5.1 Introduction 109 5.2 Piezoelectric Transducers for Guided Waves 110 5.3 Novel Type of IDT-DS Based on MFC 118 5.4 Generation of Lamb Waves using Piezocomposite Transducers 120 5.5 Lamb Wave Sensing Characteristics of the IDT-DS4 131 5.6 Conclusions 136 Appendix 136 References 137 6 Electromechanical Impedance Method 141 6.1 Introduction 141 6.2 Theoretical Background 142 6.3 Numerical Simulations 147 6.4 The Developed SHM System 155 6.5 Laboratory Tests 158 6.6 Verification of the Method on Aircraft Structures 165 6.7 Conclusions 173 References 174 7 Beamforming of Guided Waves 177 7.1 Introduction 177 7.2 Theory 179 7.3 Numerical Results 190 7.4 Experimental Results 199 7.5 Discussion 207 7.6 Conclusions 209 References 210 8 Modal Filtering Techniques 213 8.1 Introduction 213 8.2 State of the Art 214 8.3 Formulation of the Method 219 8.4 Numerical Verification of the Method 222 8.5 Monitoring System Based on Modal Filtration 231 8.6 Laboratory Tests 235 8.7 Operational Tests 245 8.8 Summary 248 References 248 9 Vibrothermography 251 9.1 Introduction 251 9.2 State of the Art in Thermographic Nondestructive Testing 252 9.3 Developed Vibrothermographic Test System 261 9.4 Virtual Testing 263 9.5 Laboratory Testing 269 9.6 Field Measurements 273 9.7 Summary and Conclusions 275 References 275 10 Vision-Based Monitoring System 279 10.1 Introduction 279 10.2 State of the Art 281 10.3 Deflection Measurement by Means of Digital Image Correlation 282 10.4 Image Registration and Plane Rectification 284 10.5 Automatic Feature Detection and Matching 287 10.6 Developed Software Tool 291 10.7 Numerical Investigation of the Method 291 10.8 Laboratory Investigation of the Method 301 10.9 Key Studies and Evaluation of the Method 314 10.10 Conclusions 318 References 318 Index 321