Dongming Feng - Computer Vision for Structural Dynamics and Health Monitoring

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Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice.
Computer Vision for Structural Dynamics and Health Monitoring Offers comprehensive understanding of the principles and applications of computer vision for structural dynamics and health monitoring Helps broaden the application of the emerging computer vision sensor technology from scientific research to engineering practice such as field condition assessment of civil engineering structures and infrastructure systems Includes a wide range of laboratory and field testing examples, as well as practical techniques for field application Provides MATLAB code for most of the issues discussed including that of image processing, structural dynamics, and SHM applications
is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems. It will also benefit those in civil and aerospace engineering, energy, and computer science.

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Figure 3.35 Test S1: comparison of displacements by two sensors (night).Figure 3.36 Test S2: comparison of displacements by two sensors (night).Figure 3.37 Test S3: comparison of displacements (night).Figure 3.38 Test S4: comparison of displacements (night).Figure 3.39 Schematic illustration of the displacement peak.Figure 3.40 Errors between peak displacements of test H1–H4 of the HCB bridg...Figure 3.41 Errors between peak displacements of the steel bridge in tests S...Figure 3.42 Field test of the Vincent Thomas Bridge: (a) Vincent Thomas Brid...Figure 3.43 Actual images captured by two cameras: (a) artificial target pan...Figure 3.44 Displacement time histories: (a) measurement in the morning; (b)...Figure 3.45 Power spectral distribution: (a) measurement in the morning; (b)...Figure 3.46 Manhattan Bridge: (a) cross‐section; (b) test setup.Figure 3.47 Tracking target on the bridge: (a) one target; (b) simultaneous ...Figure 3.48 Displacement measurement of one target.Figure 3.49 Simultaneous displacement measurements of three targets.Figure 3.50 Tracking targets on the bridge and the background building.Figure 3.51 The camera motion and the mid‐span vertical displacement of the ...

4 Chapter 4Figure 4.1 Typical modal testing and SHM systems using accelerometers: (a) m...Figure 4.2 Comparison of identified mode shapes of the frame structure.Figure 4.3 Displacement measurements at points 2–31 by the vision sensor.Figure 4.4 Comparison of displacement measurements (a) at point 9; (b) at po...Figure 4.5 Frequency results from (a) displacements at points 2–31 by the vi...Figure 4.6 Comparison of mode shapes between the vision sensor and accelerom...Figure 4.7 Stiffness optimization evolution using measurements taken by the ...Figure 4.8 Test setup: (a) beam; (b) camera; (c) schematics of intact and da...Figure 4.9 Displacement measurements at points 2–31.Figure 4.10 Identified first two mode shapes of the intact and damaged beams...Figure 4.11 Damage indices of the damaged beam: (a) MSC damage index; (b) MM...

5 Chapter 5Figure 5.1 Railway bridge for model updating: (a) side view; (b) plan view; ...Figure 5.2 Freight train configuration.Figure 5.3 Displacement history with train speed 8.05 km/h.Figure 5.4 Schematic representation of the bridge‐track‐vehicle interaction ...Figure 5.5 Measured vs. simulated displacement using the initial FE model.Figure 5.6 Sensitivity analysis procedure.Figure 5.7 Objective functions w.r.t. normalized bridge equivalent stiffness...Figure 5.8 Objective functions w.r.t. normalized bridge damping R α: (a)...Figure 5.9 Objective functions w.r.t. normalized rail bed stiffness картинка 1: (a) di...Figure 5.10 Objective functions w.r.t. normalized rail bed damping картинка 2(a) dis...Figure 5.11 Objective functions w.r.t. normalized train suspension stiffness...Figure 5.12 Objective functions w.r.t. normalized train suspension damping картинка 3:...Figure 5.13 Two‐step FE model‐updating procedure.Figure 5.14 After Step 1: train speed update.Figure 5.15 After Step 2: equivalent bridge stiffness update.Figure 5.16 Bridge under a moving train.Figure 5.17 Power spectral density (PSD) of measured displacement histories:...Figure 5.18 Computed displacement and acceleration time histories and their ...Figure 5.19 Computed displacement and acceleration time histories and their ...Figure 5.20 Computed displacement and acceleration time histories and their ...Figure 5.21 Mid‐span maximum displacements and accelerations w.r.t. differen...

6 Chapter 6Figure 6.1 Schematics of the output‐only simultaneous identification problem...Figure 6.2 Output‐only time‐domain identification procedure.Figure 6.3 Numerical example.Figure 6.4 Effect of the number of sensors and noise level on the evolution ...Figure 6.5 Identification errors for bridge stiffness.Figure 6.6 Comparison of identified and reference impact forces considering ...Figure 6.7 Comparison of predicted and reference/measured displacement respo...Figure 6.8 Effect of the initial stiffness value on the evolution of bridge ...Figure 6.9 Effect of the damping estimate on the evolution of bridge stiffne...Figure 6.10 Comparison of identified and reference impact forces considering...Figure 6.11 Impact test setup.Figure 6.12 Measurement points.Figure 6.13 Comparison of displacement measurements: (a) displacement at poi...Figure 6.14 Beam stiffness identification from different initial stiffness v...Figure 6.15 Identified and measured hammer impact forces.Figure 6.16 Comparison of the predicted and measured beam displacement: (a) ...

7 Chapter 7Figure 7.1 Outline of vision‐based cable tension measurement.Figure 7.2 Hard Rock Stadium.Figure 7.3 Typical cable assembly.Figure 7.4 Implementation of the computer vision sensor in Hard Rock Stadium...Figure 7.5 Measured vibration and PSD function of TD_A cable at Quad A.Figure 7.6 Measured vibration and PSD function of TD_B cable at Quad B.Figure 7.7 Measured vibration and PSD function of TD_C cable at Quad C.Figure 7.8 Measured vibration and PSD function of TD_D cable at Quad D.Figure 7.9 Measured tension forces vs. reference forces for TD cables: (a) Q...Figure 7.10 Measured vibration and PSD function of SLLB cable at Quad C.Figure 7.11 Measured vibration and PSD function of EZUB cable at Quad C.Figure 7.12 Measured vibration and PSD function of EZF cable at Quad C.Figure 7.13 Measured vibration and PSD function of SLF cable at Quad C.Figure 7.14 Measured tension forces for inclined cables using the vision sen...Figure 7.15 Bronx‐Whitestone Bridge.Figure 7.16 Suspender replacement locations.Figure 7.17 Field suspender replacement: (a) jacking apparatus; (b) new tens...Figure 7.18 Vision sensor setup for measuring suspender tension.Figure 7.19 Measured vibration time histories and PSD amplitudes for suspend...

8 Chapter 8Figure 8.1 Bridge inspection: (a) conventional visual inspection; (b) UAV in...Figure 8.2 Examples of visible damage.

9 Appendix 1Figure A.1 Examples of image types: (a) binary image; (b) grayscale image; (...Figure A.2 The 2D Cartesian coordinates of an M × N grayscale image.Figure A.3 Noise‐removal example.Figure A.4 Edge‐detection example.Figure A.5 Discrete Fourier transform of a grayscale image.

Guide

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2 Table of Contents

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