Open AccessPrediction of Compressive Strength with the Variation of Steel Fiber in the Concrete by Using ANN
Author(s) -
Sandela Haripriya,
Ikramullah Khan,
D. Swetha,
Govil Alok,
Bandi Bhaskar,
P. Sudheer Kumar,
T. Pranay Kumar
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1006/1/012035
Subject(s) - compressive strength , silica fume , fiber , materials science , artificial neural network , cement , composite material , structural engineering , computer science , engineering , artificial intelligence
The compressive strength of concrete up on replacement by silica fume and the adding of steel fiber has been predicted by using artificial neural networking in this investigation. Compressive strength was measured at 7, 14, and 28 days by using these data ANN model has been constructed. The input parameters which are considered as the particulars in the artificial neural networking model have been set out in a form are cement, silica fume, and steel fiber and the compressive strength of concrete is an output variable. The results exhibited that the envision of the compressive strength of concrete by ANN can be another approach.