Vision-SHM method for structural monitoring based on photogrammetric computer vision

In this paper, a method called Vision-SHM is presented. It is based on photogrammetry and post-processing of data, specifically developed to monitoring load tests on reinforced concrete framed structures, with or without masonry wall infill. A multi-station approach enables to reach the resolution required for structural analysis. The proposed method allows a complete and discrete characterization of the deformed shape evolution. Furthermore, displacement and strain fields are easily computed, as well as the corresponding principal directions, particularly relevant in D-regions, such as beam-to-column nodes. The main advantage of this method is both the quantity and quality of the information obtained by using a single acquisition system. The parameters computed in the scope of structural analysis, namely, the detailed characterization of the deformed shape, and identification of the compressive strut and cracking regions, provide important date to support the development and validation of innovative design methods for rehabilitation and strengthening of existing structures.