Summary
The response of beam column joints is fundamental for structural analysis of reinforcement concrete frames, particularly, when subjected to dynamic actions. Monitoring the key parameters of those joints is essential to perform a detailed analysis of the structure. These are often difficult to obtain, and only a few sections in critical regions are assessed. High‐end technologies can bring huge advantages in such measurements. Methods based on computer vision have been applied to monitoring reinforced concrete structures with excellent results, considering the accuracy achieved and the large quantity of information recorded.
In this paper, a new method, named “Photo‐Node,” based on photogrammetry and image processing is presented. Photo‐Node is a noncontact method used to directly monitoring concrete surfaces, developed to measure the relevant physical parameters of reinforcement concrete beam column joints during experimental tests. The method addresses several postprocessing features to evaluate joint rotation, joint distortion, principal directions and stresses, cracks pattern, and load path. Additionally, the critical sections of the beam, that is, the region adjacent to the joint where the formation of the plastic hinge is expected, can be also evaluated. Photo‐Node provides a large amount of data, which can be processed to properly assess the joints behaviour. The degree of discretisation achieved enables to identify behaviours impossible to detect using traditional and less discretised approaches. The application of the method showed promising and accurate results, proving to be an efficient and a wide‐ranging tool to be used in experimental programs.