This structural health-monitoring project has three key elements. The first is a dynamic, time-domain response reconstruction method, which improves computation efficiency based on model synthesis. The second element is damage detection, based on response reconstruction and model updating. Compared with traditional damage-detection methods, which rely on structural dynamic motion equations, the damage-detection method in this project does not require much time to calculate the dynamic response or getting external-excitation information. The third element is machine learning, which is used in damage detection to improve efficiency and accuracy.
Mr Fu Zhengyi* (PhD student, Dept. of Architecture and Civil Engineering, CityU)
* Person-in-charge
(Info based on the team's application form)
- CityU HK Tech 300 Seed Fund (2022)