Dr. Abdollah Malekjafarian, Dr. Robert Corbally and Dr. Ramin Ghiasi from SDA-Lab are organising a special session at the 10th International Operational Modal Analysis Conference (IOMAC) 2024, which will be held in Naples, Italy, on May 22-24, 2024.
The IOMAC 2024 Conference will provide a forum for the exchange of ideas, knowledge sharing, and technology-need matchmaking in the global OMA community. It will serve as a unique venue to showcase the technologies and achievements in civil as well as industrial applications, demonstrate the practical value of OMA research, and raise the public awareness on the need for further OMA research and applications.
This session invites contributions related to operational modal analysis (OMA) and structural health monitoring (SHM) of bridges using either direct methods where sensors are installed directly on the bridge, or indirect ‘drive-by’ methods where sensors in a passing vehicle are used. There have been numerous developments in OMA & SHM of bridges using both direct and indirect methods, including in recent years, a large focus on the data-centric schemes, such as machine learning and artificial intelligence (AI). AI learning methodologies such as Deep learning, Unsupervised learning and Transfer learning are now widely used in the field of bridge condition monitoring. This session will bring together examples of novel theoretical developments and practical examples of OMA/SHM using real case-studies.
The session will focus on, but is not limited to, the following topics:
- Bridge damage detection and health monitoring (highway and railway bridges)
- Identification of bridge modal properties
- Application of machine learning or data-driven techniques in bridge condition monitoring
- Model-driven and data-driven digital twins of bridges
- Bridge condition monitoring using crowd-sourcing
Keywords: Drive-By, Bridge, Structural Health Monitoring, Machine Learning, Response Prediction.
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