Dynamics of Civil Structures, Volume 2

Kirk Grimmelsman, Intelligent Infrastructure Systems

• Chapter 1. Particle Filters and Auto-Encoders Combination for Damage Diagnosis on Hysteretic Non-Linear Structures Subject to Changing Environmental Conditions.- Chapter 2. A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure.- Chapter 3. Implementation of an Organic Database Structure for Population-based Structural Health Monitoring.- Chapter 4. Estimation of Wind Turbine Blade Forces Using Strain Measurements Collected at Blade Roots.- Chapter 5. On Health-State Transition Models for Risk-Based Structural Health Monitoring.- Chapter 6. Cointegration for Structural Damage Detection Under Environmental Variabilities: An Experimental Study.- Chapter 7. Footbridge Vibrations and Modelling of Pedestrian Loads.- Chapter 8. Multi LSTM Based Framework for Ambient Intelligence.- Chapter 9. Operational Modal Analysis and Finite Element Model Updating of a 53 Story Building.- Chapter 10. An Overview of Deep Learning Methods used in Vibration-based Damage Detection in Civil Engineering.- Chapter 11. Best Paper: Transfer Learning from Audio Domains a Valuable Tool for Structural Health Monitoring.- Chapter 12. Best Paper: Experimental Evaluation of Drive-by Health Monitoring on a Short Span Bridge Using OMA Techniques.- Chapter 13. Investigation of Low-Cost Accelerometer Performance for Vibration Analysis of Bridges.- Chapter 14. Real-time Human Cognition of Nearby Vibrations Using Augmented Reality.- Chapter 15. Understanding Errors from Multi-Input-Multi-Output (MIMO) Testing of a Cantilever Beam.- Chapter 16. Load-Displacement Behavior Clustering of RC Shear walls using Functional Data Analysis.