Author:
Sancheti G,Patil H,Sharma S,Goswami S
Abstract
Abstract
Preliminary design parameters of one-way Reinforced Concrete (RC) slabs are one of the significant factors and needs to be precisely determined. Though, these parameters can be suitably determined by using the guidelines laid down by various Indian Standards, a high level of expertise is required to perform this operation. At the same time analysing and fixing design parameters considering different configurations of slab make the prediction somewhat more time consuming. In such a condition, one of the supports for a design engineer is the Machine learning (ML) techniques. This paper investigates the performance of various ML techniques in predicting and analysing the design inputs and outputs for a one war RC slabs. The comparison results show the appropriate machine learning model learning to predict the compressive strength of one-way slab.