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Table of Contents
Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Foreword
A Brief Overview of the Book by the Editors
About the Editors
List of Contributors
Chapter 1: Structural Resilience through Structural Health Monitoring: A Critical Review
Chapter 2: The Differential Evolution Algorithm: An Analysis of More than Two Decades of Application in Structural Damage Detection (2001-2022)
Chapter 3: Fatigue Assessment and Structural Health Monitoring of Steel Truss Bridges
Chapter 4: Sensor-Based Structural Assessment of Aging Bridges
Chapter 5: Pile Integrity Assessment through a Staged Data Interpretation Framework
Chapter 6: Data-Centric Monitoring of Wind Farms: Combining Sources of Information
Chapter 7: From Structural Health Monitoring to Finite Element Modeling of Heritage Structures: The Medieval Towers of Lucca
Chapter 8: Development of an Adaptive Linear Quadratic Gaussian (LQG) Controller for Structural Control Using Particle Swarm Optimization
Chapter 9: Application of AI Tools in Creating Datasets from a Real Data Component for Structural Health Monitoring
Chapter 10: Ambient Vibration Prediction of a Cable-Stayed Bridge by an Artificial Neural Network
Chapter 11: Modeling Uncertainties by Data-Driven Bayesian Updating for Structural and Damage Detection
Chapter 12: Image Processing for Structural Health Monitoring: The Resilience of Computer Vision-Based Monitoring Systems and Their Measurement
Chapter 13: Automatic Structural Health Monitoring of Road Surfaces Using Artificial Intelligence and Deep Learning
Chapter 14: Computer Vision-Based Intelligent Disaster Mitigation from Two Aspects of Structural System Identification and Local Damage Detection
Index
Half Title
Series Page
Title Page
Copyright Page
Contents
Foreword
A Brief Overview of the Book by the Editors
About the Editors
List of Contributors
Chapter 1: Structural Resilience through Structural Health Monitoring: A Critical Review
Chapter 2: The Differential Evolution Algorithm: An Analysis of More than Two Decades of Application in Structural Damage Detection (2001-2022)
Chapter 3: Fatigue Assessment and Structural Health Monitoring of Steel Truss Bridges
Chapter 4: Sensor-Based Structural Assessment of Aging Bridges
Chapter 5: Pile Integrity Assessment through a Staged Data Interpretation Framework
Chapter 6: Data-Centric Monitoring of Wind Farms: Combining Sources of Information
Chapter 7: From Structural Health Monitoring to Finite Element Modeling of Heritage Structures: The Medieval Towers of Lucca
Chapter 8: Development of an Adaptive Linear Quadratic Gaussian (LQG) Controller for Structural Control Using Particle Swarm Optimization
Chapter 9: Application of AI Tools in Creating Datasets from a Real Data Component for Structural Health Monitoring
Chapter 10: Ambient Vibration Prediction of a Cable-Stayed Bridge by an Artificial Neural Network
Chapter 11: Modeling Uncertainties by Data-Driven Bayesian Updating for Structural and Damage Detection
Chapter 12: Image Processing for Structural Health Monitoring: The Resilience of Computer Vision-Based Monitoring Systems and Their Measurement
Chapter 13: Automatic Structural Health Monitoring of Road Surfaces Using Artificial Intelligence and Deep Learning
Chapter 14: Computer Vision-Based Intelligent Disaster Mitigation from Two Aspects of Structural System Identification and Local Damage Detection
Index