Technical Tracks
Explore The Ten Thematic Tracks Covering The Breadth of Smart Materials and SHM.
Track 1: Smart Sensing Materials for SHM
- Piezoelectric materials for sensing, actuation and energy harvesting
- Carbon nanotube and graphene‑reinforced smart composites
- Fiber optic sensors: Fiber Bragg gratings (FBG), distributed sensing (DFOS), OTDR, OFDR
- Piezoelectric transducers: PZT patches, smart aggregates, PVDF sensors
- MEMS accelerometers and inclinometers for vibration monitoring
- Acoustic emission sensors for crack detection and propagation monitoring
Track 2: Wireless Sensor Networks and IoT
- Low‑power wireless sensor nodes for long‑term monitoring
- Energy harvesting technologies: piezoelectric, thermoelectric, solar, RF transmission
- IoT architectures for smart infrastructure monitoring
- Edge computing and real‑time data processing
- 5G‑enabled monitoring systems and cloud analytics
- Self‑powered and autonomous sensing systems
Track 3: Artificial Intelligence and Machine Learning in SHM
- Deep learning for damage detection and classification
- Convolutional neural networks (CNN) for image‑based inspection
- Transfer learning and domain adaptation for limited data scenarios
- Anomaly detection and unsupervised learning approaches
- Physics‑informed neural networks (PINNs) for structural analysis
- Bayesian methods for uncertainty quantification
Track 4: Digital Twins and Predictive Maintenance
- Digital twin frameworks for bridges, buildings and infrastructure
- Real‑time simulation and state estimation
- BIM integration with SHM systems
- Remaining useful life prediction and condition‑based maintenance
- Multi‑fidelity surrogate models and model updating
- Blockchain integration for secure SHM data management
Track 5: Novel Disruptions in Non‑Destructive Evaluation (NDE) and Testing
- Ultrasonic testing and guided wave propagation
- Non‑destructive testing of concrete using rebound hammer
- Electromechanical impedance (EMI) techniques
- Ground penetrating radar (GPR) for subsurface inspection
- Infrared thermography and thermal imaging
- Laser vibrometry and optical measurement techniques
- UAV‑based and robotic inspection systems
Track 6: Vibration‑Based SHM and Modal Analysis
- Operational modal analysis and output‑only system identification
- Damage‑sensitive features and statistical pattern recognition
- Environmental and operational variability compensation
- Finite element model updating and validation
- Time‑frequency analysis and wavelet‑based methods
- Fatigue damage accumulation and crack growth monitoring
Track 7: Field Applications and Case Studies
- Long‑span bridge monitoring systems
- High‑rise building and tower monitoring
- Pipeline and offshore structure monitoring
- Railway infrastructure and track monitoring
- Dam and reservoir monitoring systems
- Heritage structure preservation and monitoring
Track 8: Seismic Monitoring and Disaster Resilience
- Earthquake early warning systems
- Post‑earthquake rapid damage assessment
- SMA‑based seismic retrofitting and isolation
- Self‑centring structural systems
- Resilient infrastructure design principles
- Multi‑hazard monitoring and assessment
Track 9: Pavement Evaluation and Monitoring Techniques
- Falling weight deflectometer (FWD) and heavy weight deflectometer (HWD) testing
- Pavement condition index (PCI) assessment and distress quantification
- Ground penetrating radar (GPR) for pavement layer thickness and void detection
- International roughness index (IRI) and ride quality evaluation
- Network‑level pavement management systems (PMS)
- Pavement performance modelling and remaining service life prediction
Track 10: Vision‑Based SHM
- Vision‑based modal analysis
- Vision‑based crack detection
- Integration with UAV technology
- Vision‑based sensing and digital image correlation (DIC) techniques
- Edge AI + IoT integration for real‑time SHM