(The following topics include but are not limited to)
Track 1: Structural Health Monitoring
Structural damage detection, location and quantitative assessment
Vibration-based structural modal analysis and damage identification
Crack/corrosion detection and quantitative assessment (reinforcing bars, pipelines, marine structures, etc.)
Signal processing and feature extraction in structural health monitoring
Structural performance assessment and remaining life prediction
Infrastructure health monitoring for bridges, tunnels, dams, wind farms, etc.
Structural integrity monitoring for aerospace vehicles, ships and special equipment
Predictive maintenance and intelligent operation management
Digital twin-driven structural state simulation and assessment
Mixed reality (MR) assisted bridge/building inspection and diagnosis
Structural response and resilience assessment under multiple disasters (earthquakes, typhoons, etc.)
Track 2: Intelligent Sensing and Monitoring Technologies
Advanced sensing materials and intelligent sensor design
Distributed optical fiber sensing and wireless sensor networks
Embedded sensing systems and edge computing nodes
Non-contact sensing technologies (radar, laser, acoustic emission)
Multi-source sensor data fusion and collaborative sensing
Real-time data acquisition, transmission and signal processing
Non-destructive testing (NDT/NDE) new technologies and methods (ultrasound, thermal imaging, electromagnetic, etc.)
UAV/robot-assisted visual inspection and monitoring
Structural dynamic characteristic measurement and modal analysis
Long-term in-service monitoring and online state perception
MEMS/NEMS sensors and miniaturized sensing systems
Environmentally adaptive and self-powered sensor nodes
Track 3: Artificial Intelligence, Digital Twin and Intelligent Operation
Application of machine learning/deep learning in structural health monitoring
Physical Information Neural Network (PINN) and mechanism-data fusion modeling
Application of computer vision and image processing in structural damage detection
Digital twin-driven structural state modeling and predictive maintenance
Decisive support of explainable AI (XAI) in structural safety assessment
Transfer learning and group structural health monitoring
Federated learning and privacy-protected structural monitoring data analysis
Internet of Things (IoT) integration and intelligent operation platform
Edge-cloud collaborative computing and real-time warning system
Structural resilience assessment and emergency decision-making based on digital twin
Visual-multi-sensor fusion and AI-assisted anomaly detection
NDE 4.0 and industrial digital detection process
...