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Dynamics of Civil Structures, Volume 2
Preface
6
Contents
8
1 Damage Assessment of Steel Structures Using Multi-Autoregressive Model
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1.1 Introduction
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1.2 Structural Model and Instrumentation
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1.3 Methods on Damage Identification
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1.3.1 Damage Detection Using Migration of Autoregressive Model Coefficients
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1.3.2 Enhanced Time-Frequency Analysis for Damage Location Identification
15
1.4 Conclusions
16
References
17
2 Damage Detection with Symplectic Geometry Spectrum Analysis in Changing Environment
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2.1 Introduction
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2.2 Theoretical Basis and Procedure of the SGSA
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2.2.1 Embedding
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2.2.2 Orthogonal Symplectic QR Decomposition
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2.2.3 Components Grouping
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2.2.4 Diagonal Averaging
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2.3 Application of the SGSA to a Simply Supported Beam
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2.3.1 Brief Introduction of the Model
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2.3.2 Temperature Variation and the First Natural Frequency of the Beam
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2.3.3 Damage Identification of the Simply Supported Beam
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2.4 Conclusions
23
References
24
3 Compressive Sensing Strategies for Multiple Damage Detection and Localization
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3.1 Introduction
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3.2 Multiple Damage Detection Using Hierarchical Compressive Sampling
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3.3 Multiple Damage Detection Using Block-Wise Compressive Sampling
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3.4 Numerical Validation
27
3.5 Results and Discussion
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3.6 Conclusion
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References
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4 Structural Damage Detection Through Vibrational Feature Analysis with Missing Data
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4.1 Introduction
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4.2 Missing Data Analysis
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4.3 Damage-Sensitive Features
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4.4 Experimental Setup
35
4.5 Results and Discussion
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4.6 Conclusions
37
References
37
5 Structural Assessment of a School Building in Sankhu, Nepal Damaged Due to Torsional Response During the 2015 Gorkha Earthquake
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5.1 Introduction
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5.2 Structural Details, Seismic Damage and Instrumentation Layout
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5.2.1 4-Story Infilled RC School Building
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5.2.2 Observed Damage
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5.3 Damage Assessment Using Laser Scanning
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5.3.1 Estimation of Global Deformation from Laser Scans
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5.3.2 Identification of Significant Surface Defects
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5.3.3 Instrumentation Layout for Ambient Vibration Recordings
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5.4 System Identification
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5.5 Numerical Model
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5.5.1 Comparison of Modal Parameters
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5.6 Conclusions
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References
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6 Damage Detection Optimization Using Wavelet Multiresolution Analysis and Genetic Algorithm
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6.1 Introduction
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6.2 Wavelet Packet
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6.2.1 Wavelet Packet Decomposition
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6.3 Damage Identification Procedure
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6.4 Numerical Investigation
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6.4.1 Finite Element Method Analysis
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6.4.2 Results and Discussion
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6.5 Experimental Verification
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6.5.1 Experimental Results
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6.6 Conclusions
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References
54
7 A Novel Acoustoelastic-Based Technique for Stress Measurement in Structural Components
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7.1 Introduction
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7.2 Model Development
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7.3 Results and Discussion
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7.3.1 Excitation Signal Selection
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7.3.2 Effects of Uncertainties in Material Properties
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7.4 Conclusions
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References
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8 A Machine Learning Framework for Automated Functionality Monitoring of Movable Bridges
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8.1 Introduction
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8.2 Structural Health Monitoring System for Sunrise Bridge
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8.2.1 Mechanical Monitoring System
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8.2.1.1 Gearbox
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8.3 A Machine Learning Framework for Long-Term Assessment of Machinery Components
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8.3.1 Moving Principal Component Analysis (MCA)
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8.3.2 The Proposed Framework for Long-Term Monitoring
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8.3.3 Long-Term Condition Monitoring of Gearbox
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8.3.3.1 Analysis of the Maintenance Report
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8.3.3.2 Correlation of Eigenvector and Gearbox Maintenance Actions
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8.4 Conclusion
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References
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9 Non-Model-Based Damage Identification of Plates Using Curvature Mode Shapes
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9.1 Introduction
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9.2 Methodology
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9.2.1 Principal CMSs of Plates
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9.2.2 Multi-Scale Discrete Differential-Geometry Scheme
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9.2.3 CMS-Based Damage Indices
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9.2.4 Approximation of MSs of an Undamaged Plate
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9.3 Numerical Investigation
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9.4 Conclusion
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References
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10 Ambient Vibration Testing of Two Highly Irregular Tall Buildings in Shanghai
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10.1 Introduction
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10.2 Descriptions of the Buildings
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10.2.1 The Multi-Function Building (MFB)
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10.2.2 The Shanghai International Design Center (SIDC)
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10.3 Ambient Vibration Testing of the Buildings
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10.3.1 Introduction
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10.3.2 AV Testing of MFB
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10.3.3 AV Testing of SIDC
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10.4 System Identification and Results
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10.5 Conclusions
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References
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11 Development of an Acoustic Sensing Based SHM Technique for Wind Turbine Blades
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11.1 Introduction
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11.2 Problem Definition
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11.3 Computational Investigation of the Cavity Acoustics
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11.3.1 Acoustic Modal Analysis
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11.3.2 Far-Field Directivity Analysis
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11.4 Experimental Investigation
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11.4.1 Test Results from a Non-rotating Blade
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11.4.2 Results from a Rotating Blades
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11.5 Conclusions
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References
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12 Damage Location by Maximum Entropy Method on a Civil Structure
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12.1 Introduction
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12.2 Linear Approximation to Maximum Entropy Principle
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12.3 Case Study
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12.3.1 Numerical Model
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12.3.2 Experimental Model
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12.4 Construction of the Database
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12.4.1 Characteristic Vector
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12.4.2 Observation Vector
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12.5 Damage Assessment Results
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12.6 Conclusions
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References
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13 Making Structural Condition Diagnostics Robust to Environmental Variability
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13.1 Introduction
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13.2 Experimental Procedure
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13.3 Diagnosis of Structural Damage in the Presence of Environmental Variability
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13.4 Rendering the Damage Assessment Robust to Modeling Lack-of-Knowledge
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13.5 Conclusion
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References
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14 Experimental Dynamic Characterization of Operating Wind Turbines with Anisotropic Rotor
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14.1 Introduction
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14.2 Theoretical Background
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14.3 Experimental Techniques for LPTV Systems
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14.3.1 Multiblade Coordinate (MBC) Transformation
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14.3.2 Harmonic OMA (Frequency Domain) or H-OMA-FD
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14.3.3 Harmonic OMA (Time Domain) or H-OMA-TD
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14.3.4 Selection of M
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14.4 Application to Anisotropic Rotor
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14.4.1 Application to a Simple Six Degree-of-Freedom System
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14.4.2 Application to Data from Simulated Vestas V27 with Introduced Rotor Anisotropy
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14.4.3 Application to Data Measured on Vestas V27 Wind Turbine
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14.5 Conclusion and Further Research
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References
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15 Exploring Environmental and Operational Variations in SHM Data Using Heteroscedastic Gaussian Processes
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15.1 Introduction
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15.2 Manifold Learning for Dimensionality Reduction
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15.3 Gaussian Processes for SHM Novelty Detection
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15.4 The Z24 Bridge Example
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15.5 Strategy and Results
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15.6 Conclusion
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References
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16 Ambient Vibration Testing of a Super Tall Building in Shanghai
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16.1 Introduction
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16.2 Description of the Shanghai Tower
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16.3 Description of the Ambient Vibration Testing
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16.4 Natural Frequencies and Mode Shapes
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16.5 Discussions
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16.6 Conclusions
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References
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17 Inelastic Base Shear Reconstruction from Sparse Acceleration Measurements of Buildings
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17.1 Introduction
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17.2 Output-Only Base Shear Recovery
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17.2.1 Nonlinear Seismic Isolation System
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17.2.2 Base Shear Recovery from Total Accelerations
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17.2.3 Singular Spectrum Analysis
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17.2.3.1 Assemble SSA components
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17.2.3.2 Principal Components from SVD
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17.2.3.3 Principal Components Interpolation
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17.3 Numerical Simulations
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17.3.1 Nonlinear Behavior Modeled by Duffing Oscillator
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17.3.2 Nonlinear Impact Force
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17.3.3 Hysteretic Behavior
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17.4 Conclusions
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References
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18 Vibration Testing for Bridge Load Rating
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18.1 Introduction
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18.1.1 Conventional Methods of Load Rating
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18.1.2 Vibration Testing of Bridges
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18.1.3 Vibration-Calibrated Model-Based Load Rating
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18.1.4 Discussion and Future Research
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18.2 Conclusions
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References
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19 Finite Element Model Updating of French Creek Bridge
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19.1 Introduction
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19.2 Description of the French Creek Bridge
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19.3 Ambient Vibration Testing and Results
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19.4 Finite Element Modeling of the Bridge
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19.5 Manual Model Updating
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19.5.1 Sensitivity Analysis
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19.5.2 Model Updating
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19.5.3 Results and Discussion
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19.6 Conclusion
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References
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20 Damage Detection of a Bridge Model After Simulated Ground Motion
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20.1 Introduction
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20.2 Modal-Based SHM and Application to Bridges
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20.3 Experimental Tests on a Scaled Bridge Model
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20.4 Conclusions
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References
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21 Bridge Assessment Using Weigh-in-Motion and AcousticEmission Methods
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21.1 Introduction
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21.2 Traffic Loading and Acoustics Monitoring
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21.2.1 Introduction to Combined BWIM AE Monitoring
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21.2.2 Bridge Weigh-in-Motion
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21.2.3 Acoustic Emission (AE)
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21.2.3.1 Interpretation of Acoustic Emission Data
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21.3 Field Tests and Results
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21.3.1 About the Bridge
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21.3.2 Tests Performed
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21.3.3 Test Results
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21.4 Concluding and Remarks
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References
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22 Model-Based Estimation of Hydrodynamic Forces on the Bergsoysund Bridge
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22.1 Introduction
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22.2 Theory
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22.3 Case Study: The Bergsoysund Bridge
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22.3.1 Structure and Sensor Network
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22.3.2 Simulation Model
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22.3.3 Identification Model
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22.4 Force Estimation
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22.5 Concluding Remarks
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References
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23 Operational Modal Analysis and Model Updating of Riveted Steel Bridge
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23.1 Introduction and Background
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23.2 Finite Element Model
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23.3 System Identification
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23.4 Model Updating
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23.4.1 Updating Algorithm
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23.4.2 Updating Parameters
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23.5 Results and Discussion
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23.6 Conclusion and Further Work
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References
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24 Full-Scale Measurements on the Hardanger Bridge During Strong Winds
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24.1 Introduction
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24.2 Characteristics of the Wind Field
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24.2.1 General
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24.2.2 One-Point Spectra of Turbulence
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24.2.3 Spatial Properties of Turbulence
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24.3 Dynamic Response
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24.4 Conclusion
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References
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25 Finite Element Model Updating of Portage Creek Bridge
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25.1 Introduction
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25.2 Description and the Finite Element Model of the Bridge
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25.3 Ambient Vibration Test and Modal Analysis
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25.4 Finite Element Model Updating
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25.5 Summary, Discussion and Future Work
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References
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26 Seismic Behavior of Partially Prestressed Concrete Structures
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26.1 Introduction
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26.2 Numerical Analysis
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26.2.1 Sample Description
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26.2.2 Loading Procedure
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26.2.3 Type of Elements
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26.2.4 Failure Criteria of Concrete
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26.3 Parametric Study
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26.3.1 Nonlinear Static Push-Over Analysis
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26.3.2 Nonlinear Static Cyclic Analysis
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26.3.3 Nonlinear Dynamic Time-History Analysis
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26.4 Conclusion
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References
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27 Estimating Effective Viscous Damping and Restoring Force in Reinforced Concrete Buildings
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27.1 Introduction
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27.2 Background
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27.3 Overview of Studied Laboratory Experiments and Observations
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27.4 Estimating the Hysteretic Behaviour of the Test Structures
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27.5 Conclusions
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References
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28 Design of Metamaterials for Seismic Isolation
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Nomenclature
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28.1 Introduction
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28.2 Theoretical Background
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28.2.1 Infinitely Periodic Mechanical System: Dispersion Relation
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28.2.2 Finitely Periodic Mechanical System: FRFs
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28.2.3 Implementation
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28.3 Parametric Analysis
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28.3.1 Parameters Used in the Simulations
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28.3.1.1 1D Case
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28.3.1.2 2D Case
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28.3.1.3 Influence of the External Stiffness on the Dispersion Relation
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28.3.2 FRFs of Finitely Periodic Unit Cells
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28.3.2.1 1D Case
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28.3.2.2 2D Case
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28.3.2.3 The Effect of Damping on the FRFs
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28.3.2.4 Influence of the External Stiffness on the FRFs
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28.3.3 Structural Response of Finitely Periodic Unit Cells
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28.3.3.1 1D Case
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28.3.3.2 2D case
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28.3.3.3 Influence of the External Stiffness on the Structural Response
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28.4 Conclusion
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References
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29 Genetic Algorithm use for Internally Resonating Lattice Optimization:Case of a Beam-Like Metastructure
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29.1 Introduction
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29.2 Genetic Algorithms
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29.3 The Parameters Governing Chiral Lattice Inserts
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29.4 The Optimization Process
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29.5 Numerical Demonstration
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29.6 Conclusions
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References
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30 Vibration Transmission Through Non-Structural Partitions Between Building Floor Levels
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30.1 Introduction
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30.2 Test Structure: The Charles Institute at University College Dublin
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30.3 Vibration Transmission Due to Mechanical Excitation
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30.4 Vibration Transmission Due to Simulated Walking
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30.5 Discussion of Results
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30.6 Conclusions
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References
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31 Hybrid Time/Frequency Domain Identification of Real Base-Isolated Structure
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31.1 Introduction
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31.2 Experimental Measurement Data
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31.3 Modeling Approach
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31.3.1 Frequency Domain Identification
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31.3.2 Time Domain Identification
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31.4 Results and Discussion
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31.4.1 Identification
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31.4.2 Validation
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31.5 Conclusions
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References
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32 The Use of OMA for the Validation of the Design of the Allianz Tower in Milan
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32.1 Introduction
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32.2 Description of the Structure
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32.3 Modeling and Analysis
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32.3.1 Modeling Assumptions
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32.3.2 Eigenvalue Analysis Results
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32.4 Experimental Analysis
308
32.4.1 Description of the Tests
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32.4.2 Test Results and Comparison with Numerical Analysis
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32.4.3 Damping Estimation with and Without Additional Dampers
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32.5 Conclusions
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References
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33 Transfer Length Probabilistic Model Updating in High Performance Concrete
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33.1 Introduction
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33.2 Background
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33.2.1 Transfer Length Models
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33.2.2 Model Updating
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33.3 Experimental Test Description
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33.4 Results
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33.5 Conclusions
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References
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34 Multi-Shaker Modal Testing and Modal Identification of Hollow-Core Floor System
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34.1 Introduction
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34.2 Background
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34.3 Structural Description
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34.4 Modal Testing
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34.4.1 Instrumentation and Data Acquisition
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34.4.2 Measurements
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34.4.3 Reciprocity Check
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34.5 Modal Analysis
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34.6 Conclusions
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References
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