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Prediction of Compressive Strength with the Variation of Steel Fiber in the Concrete by Using ANN
| Content Provider | Scilit |
|---|---|
| Author | Haripriya, Sandela Khan, Ikramullah Swetha, D. Alok, G. Bhaskar, Bandi Kumar, P. Sudheer Kumar, T. Pranay |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering 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. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/1006/1/012035/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/1006/1/012035 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 1006 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-12-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Characterization and Testing of Materials Artificial Neural Networking Steel Fiber Compressive Strength of Concrete |
| Content Type | Text |
| Resource Type | Article |
