The objective of this research program is to develop an advanced vision-based assessment technology for the nondestructive evaluation of reinforced concrete (RC) structures. Overall it is proposed to use augmented reality, and advanced data processing techniques for automatically detecting, evaluating and monitoring crack propagation in RC elements. The research team will leverage the data from one current project sponsored by the Texas Department of Transportation. This data includes, but is not limited to digital images taken during the testing of standard Texas RC bridge girders.
Qualified research assistants must meet the following criteria:
•Interest in computer science (computer skills/coding a plus)
•Interest in augmented reality applications
•Responsible and timely, with the ability to work both independently and as a team
•Highly motivated, exceptional organizational skills, and extremely detail oriented
•Minimum 2-semester commitment
•Commitment of approximately 9-10 hours per week
At least two semesters
Undergraduate research assistants invited to join the lab will have the opportunity to participate in all aspects of the research process, from research design, to data collection, and data presentation. Commitment is expected to be ~10 hours/week, to include participation in research meetings. This position may also be appropriate for a new graduate or master’s student (from computer science) looking to gain research experience.
