Events Calendar

Oral Defense Dissertation: Vision-Based Studies for Structural Health Monitoring and Condition Assessment of Structures

Speaker: Mohammad Jahanshahi, Civil Engineering Ph.D. Candidate

Abstract: Automated health monitoring and maintenance of civil infrastructure systems is an active yet challenging area of research. Current structure inspection standards require an inspector to visually assess structure conditions. Visual inspection of structures is a highly qualitative method. If a region is inaccessible, binoculars must be used to detect and characterize defects. A less time-consuming and inexpensive alternative to current monitoring methods is to use a robotic system that can inspect structures more frequently, and perform autonomous damage detection. Nondestructive evaluation techniques (NDE) are innovative approaches for structural health monitoring. Among several possible techniques, the use of optical instrumentation (e.g., digital cameras), image processing and computer vision are promising approaches as nondestructive testing methods for structural health monitoring to complement sensor-based approaches. The feasibility of using image processing techniques to detect deterioration in structures has been acknowledged by leading researches in the field. This study represents the efforts that have been taken place by the author to form, implement, and evaluate several vision-based approaches that are promising for robust condition assessment of structures. Several illustrative examples are presented to demonstrate the capabilities, as well as the limitations, of the proposed vision-based inspection procedures.

Location: Kaprielian Hall (KAP) - 209

Audiences: Everyone Is Invited

Contact: Evangeline Reyes