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Experimental Vibration Analysis for Civil Structures : Testing, Sensing, Monitoring, and Control / edited by Jian Zhang, Zhishen Wu and Mohammad Noori.

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Format:
Book
Contributor:
Zhang, Jian (Structural engineer), editor.
Wu, Zhishen (Structural engineer), editor.
Noori, Mohammad, editor.
Series:
Taylor and Francis series in resilience and sustainability in civil, mechanical, aerospace and manufacturing engineering systems
Language:
English
Subjects (All):
Vibration--Testing.
Vibration.
Physical Description:
1 online resource (611 pages).
Edition:
First edition.
Place of Publication:
Boca Raton, FL : CRC Press, 2021.
Summary:
"Resilience of civil infrastructure systems : developments in testing, sensing, monitoring, and control covers a wide range of topics in the areas of vibration testing, instrumentation, and analysis of civil engineering and critical infrastructure. It explains how recent research, development, and applications in experimental vibration analysis of civil engineering structures have progressed significantly due to advancements in the fields of sensor and testing technologies, instrumentation, data acquisition systems, computer technology, computational modeling and simulation of large and complex civil infrastructure systems. The book also examines how cutting-edge artificial intelligence and data analytics can be applied to infrastructure systems. Features : Explains how recent technological developments have resulted in addressing the challenge of designing more resilient infrastructure, examines numerous research studies conducted by leading scholars in the field of infrastructure systems and civil engineering, presents the most emergent fields of civil engineering design, such as data analytics and AI for the analysis and performance assessment of infrastructure systems and their resilience, emphasizes the importance of an interdisciplinary approach to develop the modeling, analysis, and experimental tools for designing more resilient and intelligent infrastructure. Appropriate for practicing engineers and upper-level students, Resilience of civil infrastructure systems : developments in testing, sensing, monitoring, and control serves as a strategic roadmap for further research in the field of vibration testing and instrumentation of infrastructure systems"-- Provided by publisher.
Contents:
Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Editors
Contributors
Chapter 1 Wavelet-Based Damage-Sensitive Features Extraction
1.1 Introduction
1.2 Data Preprocessing
1.2.1 Feature Detection and Extraction
1.2.2 Statistical Model Formulation
1.2.3 Scale Selection
1.2.4 Feature Damage Index Identification Based Wavelet
1.3 Numerical Simulation and Results: Discussion
1.4 Conclusions
References
Chapter 2 Deep Learning for Automated Damage Detection: A Novel Algorithm in CNN Family for Faster and Accurate Damage Identification
2.1 Introduction
2.2 Deep Learning Based Approaches for Image Classification and Object Detection
2.2.1 Deep Learning for Image Classification
2.3 Methodology
2.4 Conclusions
Acknowledgements
Chapter 3 Seismic Protection of Cultural Relics Using Three-Dimensional Base-Isolation System
3.1 Introduction
3.2 Input Ground Motions
3.3 Finite Element Models
3.4 Response History Analyses
3.4.1 Overturn
3.4.2 Sliding
3.5 Conclusions
Acknowledgment
Chapter 4 Combined Actuator-Shake Table Test with Optimized Input Energy
4.1 Introduction
4.2 Equations of Motion of the Experimental SDF Model
4.3 The Testing Power
4.4 Procedures for Dividing the Ground Motion between the Shake Table and Actuators
4.4.1 Dividing in Time Domain
4.4.2 Dividing in Frequency Domain
4.4.3 Dynamic Optimization
4.5 Extending to Multi Degree of Freedom (MDF) Models
4.6 Numerical Calculations
4.7 Conclusions
Chapter 5 Design Spectra for Structures Subjected to Passing Underground Trains
5.1 Introduction
5.2 Specifications of the Trains
5.2.1 The Selected Trains
5.2.2 The Suspension System.
5.2.2.1 Dynamical Model of the Secondary Suspension System
5.2.2.2 Dynamical Model of the Main Suspension System
5.3 The Loading Pattern
5.4 The 3D Model of the Soil-Tunnel System
5.4.1 Modeling of the Components
5.4.2 The Output
5.5 The Calculated Spectra
5.5.1 Introduction
5.5.2 The Numerical Results
5.6 Conclusions
Chapter 6 Frequency-Domain Fast Maximum Likelihood Estimation of Complex Modes
6.1 Introduction
6.2 Problem Formulation
6.2.1 The Deterministic Model
6.2.2 The Probabilistic Model
6.3 ML Estimation
6.4 EM Algorithm
6.5 Field Test
6.6 Conclusion
Chapter 7 A Full Version of Vision-Based Structural Identification
7.1 Introduction
7.2 Methodology
7.2.1 Vision-Based Structural Input Estimation
7.2.2 Vision-Based Structural Output Estimation
7.2.3 Extract UIL from Structural Input and Output
7.3 Experimental Verification
7.3.1 Experimental Setup
7.3.2 Result Analysis
7.4 Conclusions
Chapter 8 Damage Recognition of Wood Beam Based on Curvature Modal Technology
8.1 Introduction
8.2 Feasibility Analysis of Curvature Modal Based Wood Beam Damage Identification
8.2.1 Feasibility Analysis Process
8.2.2 Finite Element Analysis Model
8.2.3 Analysis of the Relationship between Curvature Mode and Damage Degree of Wooden Beam Model with Different Damage Degrees at a Single Site
8.2.4 Analysis of the Relationship between the Curvature Mode and the Damage Location of the Wooden Beam Model at Different Damage Locations
8.3 Theoretical Derivation of Damage Degree of Wooden Beams Based on Curvature Mode
8.3.1 Basic Assumptions
8.3.2 Expression of Lateral Displacement of Beam Free Vibration under Different Supporting Conditions.
8.3.2.1 Displacement Equation for Free Vibration of a Simple Supported Beam
8.3.2.2 Displacement Equation for Free Vibration of the Fixed Support Beam
8.3.3 The Expression Derivation of Damage Degree of a Wooden Beam under Different Supporting Conditions
8.3.4 Verification of Finite Element Example
8.4 Modal Test and Data Analysis
8.4.1 Test Overview
8.4.1.1 Modal Test Equipment
8.4.1.2 Preparation of Test Specimen
8.4.2 Test Preparation and Test Design
8.4.2.1 Test Specimen Support Method and Measuring Point Arrangement
8.4.2.2 Selection of Excitation Pattern
8.4.3 Test Results and Data Processing
8.4.3.1 Analysis of Curvature Modal of Specimen
8.4.3.2 Verification of Damage Degree Determination Formula
8.5 Conclusions
Chapter 9 Validation of Proposed SHM Model Based on Inverse Dynamic Approach with Limited Noisy Dynamic Responses by Experimental Study
9.1 Introduction
9.1.1 Theoretical Formulation
9.1.2 Experimental Example
9.2 Conclusions
Chapter 10 Grouting Compactness Assessment in Post-Tensioning Tendon Ducts Using Piezoceramic Transducers and Wavelet Packet Analysis
10.1 Introduction
10.2 Methodology
10.2.1 Piezoelectric Effect and SA Transducers
10.2.2 Wavelet Packet-Based Analysis
10.2.3 Detection Principle
10.3 Experimental Equipment and Procedures
10.3.1 Experimental Equipment
10.3.2 Experimental Procedure
10.4 Experimental Results and Analysis
10.4.1 Time-Domain Analysis
10.4.2 Wavelet Packet-Based Energy Analysis
10.5 Conclusion and Perspective
Chapter 11 The Analysis of the Temperature Effect on Frequencies of a Footbridge
11.1 Introduction
11.2 Quantitative Analysis of the Effect of Temperature on Frequency
11.2.1 Elastic Modulus
11.2.2 Boundary Condition
11.2.3 Axial Force.
11.3 The Continuous Dynamic Monitoring System in a Footbridge
11.4 The Analysis of the Effect of Temperature on Frequency in a Footbridge
11.5 Conclusion
Chapter 12 Numerical Simulation of Precast Concrete Structure with Cast-In-Situ Monolithic Joint
12.1 Introduction
12.2 Research Object
12.3 Numerical Simulation of an Interface Model of Post-Pouring Zone of Precast Members
12.3.1 Mechanisms of Interface Stress in Post-Pouring Zone of Prefabricated Components
12.3.2 Interface Model of Post-Pouring Zone of Prefabricated Components
12.4 Finite Element Simulation
12.4.1 Material Constitution
12.4.2 Establishment of Finite Element Model
12.5 Analysis of Model Results
12.5.1 Simulation Method of Stiffness Reduction
12.5.2 Simulation Method of Strength Change
12.5.3 Test Verification
12.6 Conclusion
Chapter 13 Simulation Analysis of a Bridge with a Nonlinear Tuned Mass Damper Using Incremental Harmonic Balance Method
13.1 General Instructions
13.2 Modeling of the Nonlinear TMD Bridge Under Periodic Moving Forces
13.3 Application of IHBM to Analyze the Equations of Motion
13.4 Investigation of Parameter Influence on Dynamic Characteristics
13.5 Conclusion
Chapter 14 Analysis on the Internal Explosion Effects of Single-Layer Spherical Reticulated Shell
14.1 Introduction
14.2 Numerical Model
14.2.1 Finite Element Model
14.2.2 Material Model
14.3 Internal Explosion Effects
14.3.1 Loading Effects of Internal Explosion
14.3.2 Internal Explosion Responses
14.4 Discussions
14.4.1 Space Height Coefficient
14.4.2 Wall No Openings
14.4.3 Wall Openings
14.5 Conclusions
Acknowledgments
Chapter 15 Damage Features from Direct Modal Strain Measurements
15.1 Introduction
15.2 Prestressed Concrete Beam.
15.2.1 Test Structure
15.2.2 Progressive Damage Test
15.2.3 Dynamic Test Setup
15.3 Strain-Based Modal Analysis
15.3.1 Influence of Damage versus Temperature on Natural Frequencies
15.3.2 Influence of Damage versus Temperature on Strain Mode Shapes
15.4 Long-Term Monitoring of the 30th Span of the Arbre Viaduct
15.5 Conclusions
Chapter 16 Displacement Estimation by Multi-Rate Data Fusion of Strain and Acceleration Data
16.1 Introduction
16.2 Strain-Derived Displacement Formula
16.3 Displacement Estimation Using Kalman Filtering
16.3.1 State-Space Model
16.3.2 Recursive Filtering Algorithm
16.4 Simulation on a Supertall Structure
16.5 Field Test on a Supertall Structure
16.6 Conclusions
16.7 Funding
Chapter 17 Concrete Crack Image Recognition Based on DBSCAN and KPCA
17.1 Introduction
17.2 IPTs Used for Concrete Cracks Detection
17.3 Methodology
17.3.1 Grayscale Processing
17.3.2 Edge Detection
17.3.3 Image Segmentation
17.3.4 Crack Monitor
17.4 Testing Images
17.5 Conclusions
Chapter 18 Pedestrian Induced Vibration of Slab
18.1 Introduction
18.2 Governing Equation
18.3 Conclusions
Chapter 19 Piezoelectric Admittance-Based Damage Detection via Data Compression and Reconstruction
19.1 Introduction
19.2 Main Theories
19.2.1 Piezoelectric Ceramic Technique
19.2.2 Compressed Sensing Theory
19.2.3 Orthogonal Matching Pursuit
19.3 Validation of the Approach Using Monitoring Data from an Experimental Simply-Supported Beam
19.3.1 Description of the Simply-Supported Beam Experiment
19.3.2 Admittance Data Reconstruction Using OMP Algorithm
19.3.3 Data Compression Effects
19.3.4 Influence of Sparsity Level on Reconstruction Accuracy.
19.3.5 Damage Evaluation Using RMSD.
Notes:
Includes index.
Description based on print version record.
ISBN:
1-00-309056-7
1-003-09056-7
1-000-17865-X
1-000-17869-2
9781003090564
OCLC:
1157565316

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