Analytical Equations for the Prediction of the Failure Mode of Reinforced Concrete Beam-Column Joints Based on Interpretable Machine Learning and SHAP Values.

One of the most critical components of reinforced concrete structures are beam-column joint systems, which greatly affect the overall behavior of a structure during a major seismic event. According to modern design codes, if the system fails, it should fail due to the flexural yielding of the beam and not due to the shear failure of the joint. Thus, a reliable tool is required for the prediction of the failure mode of the joints in a preexisting population of structures.