FIRST RESULTS OF THE APPLICATION OF A VISION-BASED METHODOLOGY FOR MONITORING DISPLACEMENTS DURING FULL-SCALE BUILDING SHAKE-TABLE TESTING

This study presents a vision-based methodology for acquiring absolute and inter-story displace-ments of multi-story buildings during dynamic and shake-table tests using only two video cam-eras. One camera is mounted on top of the building to track multiple targets positioned along the structure’s height, while a second external camera provides redundancy for roof displace-ment measurements and compensates for noise caused by vibrations affecting the top-mounted camera. This setup enables the estimation of horizontal displacements across multiple floors. The methodology was validated through a full-scale 6-story building test on the Large High-Performance Outdoor Shake Table at the University of California San Diego. The results demonstrate high accuracy and resolution in displacement time series data.