Prediction of punching shear strength of two-way slabs using artificial neural network and adaptive neuro-fuzzy inference system

摘要

This paper presents a prediction of punching shear strength of two-way reinforced concrete slabs using artificial neural network and adaptive neuro-fuzzy inference system. In this regard, a total of 189 test results are collected from the literature to develop these two models. Inputs are the compressive strength of concrete, effective depth of slab, reinforcement ratio, column size, and yield strength of steel. A comparison of test results with the proposed models is provided herein. The results indicate that the models can predict the punching shear strength of two-way slabs accurately.