Chapter 1. Model Updating for Nonlinear Dynamic Digital Twins Using Data-Based Inverse Mapping Models
Chapter 2. Deep Reinforcement Learning for Active Structure Stabilization
Chapter 3. Estimation of Structural Vibration Modal Properties Using a Spike-Based Computing Paradigm
Chapter 4. Environmental-Insensitive Damage Features Based on Transmissibility Coherence
Chapter 5. Transmittance Anomalies for Model-Based Damage Detection with Finite Element Generated Data and Deep Learning
Chapter 6. Machine Learning based Condition Monitoring with Multibody Dynamics Models for Gear Transmission Faults
Chapter 7. Structural Damage Detection Framework Using Metaheuristic Algorithms and Optimal Finite Element Modeling
Chapter 8. On Aspects of Geometry in SHM and Population-Based SHM
Chapter 9. A Robust PCA-based Framework for Long-Term Condition Monitoring of Civil Infrastructures
Chapter 10. Data-Driven Parameter Identification for Turbomachinery Blisks
Chapter 11. Classification of Rail Irregularities from Axle Box Accelerations using Random Forests and Convolutional Neural Networks
Chapter 12. Development of a Surrogate Model for Structural Health Monitoring of a UAV Wing Spar
Chapter 13. On a Description of Aeroplanes and Aeroplane Components using Irreducible Element Models
Chapter 14. Input Estimation of Four-DOF Nonlinear Building Using Probabilistic Recurrent Neural Network
Chapter 15. Simulation-Based Damage Detection for Composite Structures with Machine Learning Techniques
Chapter 16. Synthesizing Dynamic Time-series Data for Structures Under Shock Using Generative Adversarial Networks
Chapter 17. Multi-Layer Input Deep Learning Applied to Ultrasonic Wavefield Measurements.