Towards future climate-resilient sea-crossing bridges via intelligent learning of long-term real monitoring data

Professor Ye, Hailong   (Co-Principal Investigator (Co-PI) (for projects led by other university))

Xia Yong   (Project coordinator)

36

2024-04-01

700000

Towards future climate-resilient sea-crossing bridges via intelligent learning of long-term real monitoring data

""1) Sea-crossing bridge"", ""2) Climate change"", ""3) Field monitoring"", ""4) Structural condition"", ""5) Bridge maintenance""

Structure

Engineering (E)

C5004-23G

Collaborative Research Fund (CRF) - Group Research Project 2023/2024

2024

On-going

influences of climate change on bridge safety conditions. (2) To develop integrated physics-based models and analysis frameworks that capture the time- evolving environment and health profile of bridges.(3) To develop a machine learning (ML)-based multi-scale statistical-dynamical downscaling framework and then accurately and reliably predict future local environmental conditions at the bridge site from global climate models (GCMs).(4) To predict the performance of sea-crossing bridges during their 120-year design service life under the projected local environmental conditions.(5) To develop optimized life cycle bridge maintenance and management (BMM) strategies under climate change using a robust deep reinforcement learning model to address high-dimension of sea-crossing bridges.