Research Thesis Topic
AI-powered Automated Condition Assessment of Civil Infrastructure
Topic ID:
437
Thesis Topic/Title:
AI-powered Automated Condition Assessment of Civil Infrastructure
Description
The detection of cracks is a crucial task in monitoring structural health and ensuring structural safety. The manual process of crack detection is painstakingly time-consuming and suffers from subjective judgments of inspectors. This project develops an innovative and practical condition assessment approach for in-situ evaluation of cracks as soon as they appear in civil infrastructure using cutting-edge computer vision, image enrichment, AI deep learning and micro-computing technologies. The research outcome will facilitate cost-effective, quick and reliable ways of assessing and maintaining key civil infrastructure.
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
31/12/2024
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