Research Thesis Topic
Overload structural assessment using load-monitoring data and artificial intelligence
This project develops an assessment approach for effectively evaluating road or railway bridges subject to overloads. This research project will be carried out within the School of Civil Engineering and Surveying and Centre for Future Materials with industry partner involvement. The School and Centre play a leading role in the research and development of innovative structure and material solutions for various civil infrastructure applications. This research will focus on experimental data analysis leveraging the power of real load-monitoring data and artificial intelligence techniques. The outcome of this study can enhance the understanding of the infrastructural behaviour and develop appropriate assessment methodology that would greatly benefit the civil engineering industry and wider community.
- Centre for Future Materials
- School of Engineering and Built Environment
- Civil Engineering
- Doctor of Philosophy (DPHD)
- Doctor of Philosophy (DPHD)
- Master of Research (MRES)
Please review the admission requirements for the academic program associated with this Thesis Topic