Real-time bridge performance evaluation based on crowdsourcing and learning
Funding: 2024: $110,000
2025: $115,000
2023: $135,000
Project Member(s): Zhu, X., Wang, Y., Li, J.
Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)
Start year: 2023
Summary: This project aims to develop a novel strategy utilizing the real-time measurements from moving vehicles and bridges and integrating the bridge-moving load models with machine learning to evaluate the safety and operational performance of bridges. The proposed research is the first essential study on integrating the bridge moving load models with transfer learning in an innovative physics-based data analytics. The project will provide an engineer-friendly low cost monitoring system for its deployment, management and maintenance of existing transport infrastructure. This study will contribute significantly to the community in the form of safe and resilient transportation infrastructure in operation.
FOR Codes: Road infrastructure and networks, Expanding knowledge in engineering, Structural engineering , Structural dynamics