Prediction of punching shear strength in internal slab-column connections without shear reinforcement in reinforced concrete structures through multiple regression models

The structural systems' critical point of flat slabs happens on the connection slab-column through the shearing stressing concentrations, which may lead to the punching phenomenon. According to the literature, multiple factors influence punching, and much theoretical and experimental research has been developed to comprehend its behavior and then estimate the connection slab-column punching resistance. However, there is yet to be a sizing model entirely accepted by the technical-scientific community to estimate and explain such a phenomenon and its influence parameters. In this context, this study aims to propose, by statistical analysis applied to experimental studies, an ultimate punching shear strength (Pu) predictor equation of the internal slab-column connection, with no shear reinforcement and symmetrical loading, on reinforced concrete edifications. Therefore, the punching strength predictor models presented by the literature and the primary standards have been evaluated through a vast database containing the manly punching influencers' parameters. The proposed model is based on only five real model variables-slab geometry (Geo), column dimension (L), the effective height of the slab (d), compressive strength of concrete (fc), and bending reinforcement rate (rho)-and estimated the Pu on internal slab-column connection with a 3% error order and Radj2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R_{{{\text{adj}}}}<^>{2}$$\end{document} equal to 97.28%.