[内容简介]

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

[目录]

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