Much of the bridge stock on major transport links in North America and Europe was constructed in the 1950s and 1960s and has since deteriorated or is carrying loads far in excess of the original design loads. Structural Health Monitoring Systems (SHM) can provide valuable information on the bridge capacity but the application of such systems is currently limited by access and bridge type. This paper investigates the use of computer vision systems for SHM. A series of field tests have been carried out to test the accuracy of displacement measurements using contactless methods. A video image of each test was processed using a modified version of the optical flow tracking method to track displacement. These results have been validated with an established measurement method using linear variable differential transformers (LVDTs). The results obtained from the algorithm provided an accurate comparison with the validation measurements. The calculated displacements agree within 2% of the verified LVDT measurements, a number of post processing methods were then applied to attempt to reduce this error.
|Number of pages||7|
|Publication status||Published - 25 Aug 2016|
|Event||Irish Machine Vision and Image Processing Conference - NUIG , Galway, United Kingdom|
Duration: 24 Aug 2016 → 26 Aug 2016
Conference number: 5th
|Conference||Irish Machine Vision and Image Processing Conference|
|Period||24/08/2016 → 26/08/2016|