| Description |
1 online resource (358 p.) |
| Series |
Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems Series |
|
Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems Series
|
| 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 |
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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 |
| Summary |
Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides an overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques |
| Notes |
Description based upon print version of record |
| Subject |
Civil engineering -- Periodicals
|
|
Engineering -- Periodicals.
|
| Form |
Electronic book
|
| Author |
Rainieri, Carlo
|
|
Domaneschi, Marco
|
|
Sarhosis, Vasilis
|
| ISBN |
9781000965582 |
|
1000965589 |
|
