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Research Thesis Topic

Overload structural assessment using load-monitoring data and artificial intelligence


Topic ID:
438

Thesis Topic/Title:
Overload structural assessment using load-monitoring data and artificial intelligence

Description

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.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • Centre for Future Materials
  • School of Engineering and Built Environment

Field of Research
  • Civil Engineering

Available Academic Programs
  • Doctor of Philosophy (DPHD)
  • Master of Research (MRES)

Application Open Date
11/09/2021

Application Close Date
31/12/2026

USQ Scholarship Applications

Pre-approved for Ethics
Not Applicable

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic





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