This paper is published in Volume-4, Issue-4, 2018
Area
Civil Engineering
Author
Naman Veer
Org/Univ
Independent Researcher, India
Pub. Date
28 August, 2018
Paper ID
V4I4-1516
Publisher
Keywords
Artificial neural network, PPC, PPS

Citationsacebook

IEEE
Naman Veer. Prediction of compressive strength of concrete using artificial neural network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Naman Veer (2018). Prediction of compressive strength of concrete using artificial neural network. International Journal of Advance Research, Ideas and Innovations in Technology, 4(4) www.IJARIIT.com.

MLA
Naman Veer. "Prediction of compressive strength of concrete using artificial neural network." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018). www.IJARIIT.com.

Abstract

The present-day structures are being made with the use of a number of different building materials with varying strength properties that govern their mechanical strength and correspondingly their durability and life. There are a number of techniques available to determine the compressive strength of these materials. However, use of an artificial neural network provides a non-destructive way to predict the compressive strength of the same. In the present study, the compressive strength of concretes prepared with two different cement types i.e. PPC and PSC with manufactured sand and natural sand as aggregate for four different water-cement (w/c) ratios have been undertaken using an artificial neural network (ANN). The predicted strength was compared with that obtained in the laboratory for the same.
Paper PDF