VISION SYSTEM FOR MONITORING SEISMIC TESTS IN CONCRETE SHELLS

Abstract. Structural monitoring plays a crucial role in assessing damage and detecting potential faults. Vision systems provide real-time information about the behaviour and state of conservation of structures, enabling precise and efficient analysis. Computer vision algorithms are employed to analyse images and extract relevant structural information. This information may encompass key points' displacement and deformation within the structure.
This paper introduces a methodology for monitoring dynamic tests using computer vision. The approach employs a camera to track artificial targets placed on the structure. The camera captures multiple images during the tests and detects the coordinates of the target centres. Subsequently, displacements are calculated based on the differences in coordinates among the aforementioned targets.
To validate the methodology, an experimental study was conducted using dynamic tests on a reduced-scale model of a thin concrete shell tested on a seismic table. Five dynamic tests were carried out, involving varied amplitude and frequency values to test the proposed approach. The results substantiate the efficacy of computer vision in monitoring dynamic tests. In conclusion, the developed methodology facilitates dynamic test monitoring through computer vision by continuously tracking artificial targets throughout the tests and computing their displacements.