STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Construction Engineering, Technology & Management

PREDICTING THE COMPRESSIVE STRENGTH OF CONCRETE USING ANN IN MATLAB

  1. Arya Shikha
  2. Shriram Marathe

Abstract

This research work focuses on the production of Artificial Neural Networks ( ANNs) in the prediction of concrete compressive strength after 28 days. The measurement of the compressive strength of concrete in situ by means of cores cut from hardened concrete is recognised as the most common technique, but the compressive strength of concrete is very difficult to predict because several factors affect it.In this paper , in order to predict the 28 days of compressive strength of concrete with 173 different mix designs, the experimental results are developed, trained, and tested within the Matlab programming framework. The findings of the current investigation show that ANNs have a good capacity to predict the compressive strength of concrete as a viable instrument.
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