Next Generation Bridge Monitoring using Novel Synergic Identification
Description: Over 70% of the bridges in Australia are made of prestressed concrete, yet many do not meet the requirements of current Australian Standards. This project aims to provide a cost-effective system for monitoring bridges in real time along with systems that track the prestressing force and rate of damage for ongoing health assessment and necessary repairs. The use of innovative engineering techniques, solving long standing problems of engineers, will enable the safe operation of bridges, which play a primary role in Australia’s national transport system. Improved methodology for turning tired infrastructure into ‘smart bridges’ will be developed and commissioned first in Australia and then applied internationally.
Funder: Australian Research Council
Amount: A$437,000
Funding type: research
Funder scheme: Discovery Projects
Start date: 2022-01-01
End date: 2026-10-31
Investigator: Tommy Chan
Institution: Queensland University of Technology
Funded outputs count: 6
Funder award ID: DP220102045
OpenAlex ID: G461545164