Title of article :
EFFICIENCY FACTOR OF SUPPLEMENTARY CEMENTITIOUS MATERIALS: A STATE OF ART
Author/Authors :
Khan, A. N Department of Civil Engineering - A.I’s Kalsekar Technical Campus - New Panvel - Maharashtra, India , Magar, R. B Department of Civil Engineering - A.I’s Kalsekar Technical Campus - New Panvel - Maharashtra, India , Chore, H.S Department of Civil Engineering - Datta Meghe College of Engineering - Airoli - Maharashtra, India
Abstract :
The use of supplementary cementing materials is gradually increasing due to technical,
economical, and environmental benefits. Supplementary cementitious materials (SCM) are
most commonly used in producing ready mixed concrete (RMC). A quantitative
understanding of the efficiency of SCMs as a mineral admixture in concrete is essential for
its effective utilisation. The performance and effective utilization of various SCMs can be
possible to analyze, using the concept of the efficiency factor (k-value). This study describes
the overview of various studies carried out on the efficiency factor of SCMs. Also, it is an
effort directed towards a specific understanding of the efficiency of SCMs in concrete.
Further it includes an overview of artificial neural network (ANN) for the prediction of the
efficiency factor of SCMs in concrete. It is found that The model generated through ANN
provided a tool to calculate efficiency factor (k) and capture the effects of different
parameters such as, water-binder ratio; cement dosage; percentage replacement of SCMs;
and curing age.
Keywords :
artificial neural networks , efficiency factor , supplementary cementitious materials , soft computing techniques
Journal title :
Astroparticle Physics
