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Structural Health Monitoring, Volume 5
Preface
6
Contents
8
1 Assessment and Localization of Active Discontinuities Using Energy Distribution Between Intrinsic Modes
10
1.1 Introduction
10
1.2 Active Discontinuities and Energy Transfer Between Vibrating Modes
11
1.2.1 Normalized Cumulative Marginal Hilbert Spectrum (NCMHS)
12
1.3 Damage Indices
13
1.4 Severity Assessment
14
1.5 Experimental Setup
15
1.6 Results
15
1.7 Conclusions
16
References
17
2 Wave Analyses in Structural Waveguides Using a BoundaryElement Approach
19
2.1 Introduction
19
2.2 Wave Propagation in Waveguides with Circular Cross-Section
20
2.3 Waveguide Boundary Element Method
21
2.3.1 Elastodynamic Boundary Element Formulation
21
2.3.2 Boundary Element Analysis of Periodic Structures
21
2.4 Numerical Results
23
2.4.1 Waveguide with Circular Cross-Section
23
2.4.2 Waveguide with Z-Shaped Cross-Section
24
2.5 SHM Application
24
2.6 Conclusions and Outlook
25
References
25
3 Spectral Element Based Optimization Scheme for Damage Identification
27
3.1 Introduction
27
3.2 Modeling
28
3.2.1 Electromechanical Impedance Model
28
3.2.2 Structural Impedance Model
29
3.3 Damage Modeling and Identification
31
3.4 Simulation Results
32
3.5 Summary
33
Appendix
34
References
34
4 Nonlinear Dynamic Behavior of Cantilever Piezoelectric Energy Harvesters: Numerical and Experimental Investigation
36
4.1 Introduction
36
4.2 Harvester's Electromechanical Model
37
4.2.1 Kinetic Energy
38
4.2.2 Potential Energy
38
4.2.3 Lagrangian
39
4.3 Numerical Simulations
40
4.4 Experimental Results
43
4.4.1 Linear Tests Results
43
4.4.2 Nonlinear Tests Results
44
4.5 Concluding Remarks
46
Appendix
47
References
47
5 Nonlinear Dynamics of a Hybrid Piezo-Electromagnetic Vibrating Energy Harvester
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5.1 Introduction
48
5.2 Design and System Modeling
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5.3 Solving
50
5.4 Results and Discussion
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5.4.1 Performance Enhancement by Elastic Guidance
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5.4.2 Performance Enhancement by Hybrid Piezo-Electromagnetic Transduction
53
5.5 Conclusion
53
References
54
6 Numerical Modeling of Steel-Framed Floors for Energy Harvesting Applications
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6.1 Introduction
55
6.2 Description of the Experimental Floor
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6.3 Modal Properties of the Floor System
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6.4 Mathematical Model of Floor System
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6.5 Numerical Model of Floor System
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6.6 Parametric Study of Energy Harvester Response
59
6.7 Conclusions
61
References
63
7 Identification of Tie-Rods Tensile Axial Force in Civil Structures
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7.1 Introduction
64
7.2 Methodology
65
7.3 Experimental Setup
71
7.4 Results
73
7.5 Conclusion
74
References
74
8 A New Measure of Shape Difference
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8.1 Introduction
75
8.2 MAC Formula
78
8.3 Shape Difference Indicator (SDI)
79
8.4 SDI and Cap Screw Torque
80
8.5 Conclusions
81
8.6 Fault Correlation Tool (FaCTs™)
84
References
84
9 Non-destructive Examination of Multiphase Material Distribution in Uranium Hexafluoride Cylinders Using Steady-State Laser Doppler Vibrometery
85
9.1 Introduction
85
9.2 Initial Tests
86
9.3 UF6 Cylinder Tests
88
9.4 Summary and Conclusions
91
References
92
10 Damage Detection Using Large-Scale Covariance Matrix
93
10.1 Introduction
93
10.2 How to Handle Large-Scale Data Sets
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10.2.1 Data Compression Using Discrete Cosine Transform
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10.2.2 Pseudo-Inverse of the Covariance Matrix
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10.2.3 Shrinkage Covariance Matrix
95
10.3 Feature Extraction and Damage Detection Algorithm
96
10.4 Results
98
10.5 Conclusions
100
References
100
11 Load Identification of Offshore Platform for Fatigue Life Estimation
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11.1 Introduction
102
11.2 Load Identification Algorithm
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11.2.1 State-Space Model of the Reduced Order System
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11.2.2 Load Estimation Algorithm
105
11.3 Results
106
11.3.1 Simulation Setup
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11.3.2 Load Estimation Results: Regular Waves
108
11.3.3 Load Estimation: Irregular Waves
109
11.4 Conclusions and Future Work
110
References
112
12 Monitoring Proximity Tunneling Effects Using Blind Source Separation Technique
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12.1 Introduction
113
12.2 Site Description
114
12.3 Continuous Monitoring for Tunnel Deformation
114
12.4 Data-Driven Analysis Using Limited Sensor Data
116
12.4.1 PCA Results
116
12.5 Conclusions
117
References
117
13 Endowing Structures with a Nociceptive Sense Enabled by a Graphene-Oxide Sensing Skin
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13.1 Introduction
118
13.2 Experimental Methods
119
13.2.1 Asynchronous System
119
13.2.2 Graphene-Oxide Resistor and Capacitor
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13.3 Sensor Skin Results
121
13.4 Sensor Shape Considerations
122
13.5 Conclusions
123
References
124
14 Modal Strain Energy Based Damage Detection Using Multi-Objective Optimization
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14.1 Introduction
125
14.2 Damage Detection Method Based on Inverse Problem Solving
126
14.2.1 Strain Energy Based Damage Index
127
14.2.2 Single-Objective Genetic Algorithms
128
14.2.3 Hybrid Multi-Objective Genetic Algorithms
128
14.3 Application to Modular Steel Structures
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14.3.1 Multiple Minor Damage Scenario Case 1
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14.3.2 Multiple Minor Damage Scenario Case 2
131
14.4 Conclusion
132
References
133
15 Development of Vibration Damper for Energy Harvesting
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15.1 Introduction
134
15.2 Variable Resonance Frequency and Power Generation
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15.2.1 Overview of the Damper Development
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15.2.2 Evaluation on the Performance of the Damper Alone
135
15.3 Fixture with Two Coincide Resonance Frequencies
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15.3.1 Fixture Design
136
15.3.2 Verification of the Fixture as Damper
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15.3.3 Verification of Fixture as Power Generation
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15.4 Application to Motor Bike
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15.4.1 Target Mode and Fixture Design
139
15.4.2 Verification of Vibration Reduction and Power Generation
140
15.5 Conclusions
141
References
141
16 Structural Damage Detection Using Soft Computing Method
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16.1 Introduction
142
16.2 Artificial Neural Networks (ANNs)
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16.3 Damage Identification Strategy and Experimental Modal Analysis
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16.4 Damage Detection of I-Beam Structures Using ANNs
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16.5 Conclusions
149
References
149
17 Multiple Crack Detection in Structures Using Residual Operational Deflection Shape
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17.1 Introduction
151
17.2 R-ODS Method
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17.3 Finite Element Modelling
153
17.4 Numerical Validation
153
17.5 Experimental Example [17CR1313]
154
17.6 Concluding Remarks
155
References
156
18 Numerical Enhancement of NMT for Predicting Fatigue Failure
157
18.1 Introduction
157
18.2 Background
158
18.3 Theoretical Model Development
158
18.4 System Identification
159
18.5 Experiment and Analysis
160
18.6 Results and Discussion
160
18.7 Healthy Steady State Data Selection
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18.8 Excitation Frequency Identification
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18.9 Visual Mapping of Identified Models
162
18.10 Conclusions
163
References
164
19 Subspace-Based Damage Detection on Steel Frame Structure Under Changing Excitation
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19.1 Introduction
165
19.2 Subspace-Based Damage Detection
166
19.2.1 Models and Parameters
166
19.2.2 Properties from Subspace-Based System Identification
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19.2.3 The Damage Detection Test
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19.3 Robust Damage Detection Test Under Changing Excitation
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19.4 Applications
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19.4.1 Numerical Application: Simulated Truss Structure
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19.4.2 Laboratory Application: Steel Frame Structure
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19.4.2.1 The Lab Structure and Damage Modeling
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19.4.2.2 Measurement Setup
169
19.4.2.3 Damage Detection Test
170
19.4.2.4 Results
170
19.5 Conclusions
171
References
172
20 Real-Time Structural Damage Identification of Time-Varying Systems
173
20.1 Introduction
173
20.2 System Identification
174
20.2.1 State Space Model
174
20.2.2 Transfer Function
174
20.2.3 ARX Model
175
20.3 Damage Identification
175
20.4 Results and Discussions
176
20.4.1 State Space Model
177
20.4.2 Transfer Function
181
20.4.3 ARX Model
182
20.5 Conclusions
184
References
184
21 Wavelet Transformation for Damage Identification in WindTurbine Blades
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21.1 Introduction
185
21.2 Theoretical Background
186
21.2.1 Basics of Continuous Wavelet Transformation
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21.2.2 Two-Dimensional Wavelet Transformation
187
21.2.3 Spatial Extrapolation for Grid Generation
188
21.2.4 Spatial Interpolation for Removal of Artificial Irregularities
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21.2.5 Additional Spatial Extrapolation for Removal of Boundary Distortions
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21.3 FE Modal Analysis
189
21.3.1 Blade Modeling
189
21.3.2 Damage Introduction
189
21.3.3 Modal Results
190
21.4 Damage Identification
190
21.5 Conclusion
190
21.5.1 Future Work
191
References
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22 Vision Device Applied to Damage Identification in Civil EngineerStructures
192
22.1 Introduction
192
22.2 Mode Shape Curvature Methods
193
22.3 Measurement Setup
194
22.4 Experimental Tests and Data Processing
195
22.5 Results
196
22.6 FRF
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22.7 Mode Shapes
197
22.8 Damage Detection by Curvature Mode Shapes
198
22.9 Conclusions
201
References
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23 Damage Detection and Quantification Using Thin Film of ITO Nanocomposites
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23.1 Introduction
204
23.2 Basic Concepts for SHM
205
23.2.1 Structural Health Monitoring in Aerospace Applications
205
23.2.2 Nanomaterials and Nanocomposites
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23.2.2.1 Indium Tin Oxide (ITO)
206
23.3 Experimental Setup
207
23.4 Results and Discussions
208
23.5 Conclusions
209
References
210
24 The Use of Orbitals and Full Spectra to Identify Misalignment
211
24.1 Introduction
211
24.2 Misalignment
212
24.3 Experimental Results
212
24.3.1 Measurements on Parallel Misalignment
212
24.3.2 Measurements on Angular Misalignment
214
24.3.3 Measurements on Combined Faults
215
24.4 Conclusions
217
References
218
25 Damage Detection Based on Wavelet Packet Transform and Information Entropy
219
25.1 Introduction
219
25.2 Damage Feature Extraction from Wavelet Packet Entropy
220
25.2.1 Wavelet Energy and Entropy
221
25.3 Numerical Simulation
222
25.3.1 Damage Identification
223
25.4 Experimental Verification
223
25.5 Conclusion
224
References
224
26 Identification of Localized Damage in Structures Using Highly Incomplete Modal Information
226
26.1 Introduction
226
26.2 Sensitivity-Based Model Updating
227
26.3 The lp Norm
228
26.4 Numerical Methods for l1 Minimization of Linear System of Equations
229
26.5 Numerical Verification
229
26.6 Conclusions
232
References
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27 Damage Detection Using Derringer's Function based Weighted Model Updating Method
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27.1 Introduction
236
27.2 Theory
237
27.2.1 D-Optimal Design
237
27.2.2 Response Surface Method
237
27.2.3 Desirability Function
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27.2.4 Weighted Model Updating using Derringer's Function based Updating Method
239
27.3 Development of RS Models
240
27.4 Damage Detection using Weighted Model Updating
242
27.5 Conclusion
245
References
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28 Energy Harvesting in a Coupled System Using Nonlinear Impact
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28.1 Introduction
248
28.2 Theoretical Model: Coupled Beams
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28.2.1 Parametric Study
250
28.2.2 Excitation Bandwidth
251
28.2.3 Power Generation
251
28.3 Conclusion
253
References
254
29 Spatiotemporal Sensing for Pipeline Leak Detection Using Thermal Video
255
29.1 Introduction
255
29.2 Data Summarization Framework and Associated Data Summarization Methodology
256
29.3 AD-HOC Algorithm Using Single-Sensor Data
257
29.4 Vision-Based Approach for Pipeline Leak Detection Using Thermal Video
258
29.4.1 MATLAB Video Simulation
259
29.4.2 Pipeline Experiment
259
29.5 Conclusions
260
References
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30 Vibration-Based Continuous Monitoring of Tensile Loads in Cables and Rods: System Development and Application
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30.1 Introduction
262
30.2 Automated Output-Only Modal Identification
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30.3 Indirect Estimation of Axial Loads from Vibration Data
265
30.4 The System for Continuous Monitoring of Axial Loads from Vibration Data
266
30.5 Conclusions
268
References
269
31 Non-Model-Based Crack Identification Using Measured Mode Shapes
270
31.1 Introduction
270
31.2 Damage Identification Using CDIs and CWTDIs
271
31.2.1 Curvature Mode Shapes
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31.2.2 Continuous Wavelet Transform
272
31.2.3 Identification of an Embedded Horizontal Crack
277
31.2.4 Denoising of MSs
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31.3 Numerical Crack Identification
282
31.4 Conclusion
285
References
288
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