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Reinforced concrete slabs are an essential part of high-rise structures and are designed to withstand the loads to which they are subjected. However, concrete slabs may fail due to punching shear, which is one of the greatest risks they face. This type of failure, hard to predict, befalls almost instantaneously and may lead to catastrophic consequences. In this paper, we analyse a series of non-linear numerical models ─using ABAQUS─ simulating the punching shear effect on a flat, reinforced concrete slab retrofitted with bolts arranged in three different positions around the support. As starting point, we carried out an initial calibration of the Finite Element Model (FEM) using Adetifa and Polak's experimental results. We then performed a parametric analysis to determine the influence of the geometrical parameters of the retrofitting. For this purpose, we created over two hundred models with the help of an automation algorithm programmed in Python. Our results effectively predict the precise distribution of the retrofitting bolts that will successfully increase the punching shear strength.

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