Prediction of Compressive Strength with the Variation of Steel Fiber in the Concrete by Using ANN. Issue 1 (December 2020)

• Record Type: Journal Article
• Authors: Haripriya, Sandela; Ikramullah Khan, Md; Swetha, D; Alok, G; Bhaskar, Bandi; Sudheer Kumar, P; Pranay Kumar, T
• Is Part Of: IOP conference series. Volume 1006:Issue 1(2020)
• Publication Date: 2020-12
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1006/1/012035
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: 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.