State-of-Art: Artificial Intelligence Models Era in Modeling Beam Shear Strength

Abstract

The computer aided models have received much attention in the recent years for solving diverse civil engineering applications. In the current review, the applications of artificial intelligence (AI) methodologies in modeling beam shear strength are presented. The review is attempted to give an insightful version for AI models progression in modeling diverse shear strength of structure beams types. Several essential components are surveyed and summarized including, the types of the applied AI models, the input parameters used for the development, types of the additive material, number of the modelled dataset, performance metrics, sources of the modelled data and data availability. Based on the reported literature, several significant core aspects on the AI model’s implementation are assessed and discussed scientifically. Future research directions are presented with respect to the exhibited literature review.