Research Article
Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete
Table 3
Training dataset for ANN3 (BA + RHA) replacement.
| PPC (%) | BA (%) | RHA (%) | SC | IST (min) | FST (min) | CS-28 days (N/mm2) |
| 96 | 2 | 2 | 0.38 | 88 | 251 | 29.87 | 96 | 2 | 2 | 0.4 | 95 | 258 | 28.37 | 96 | 2 | 2 | 0.41 | 97 | 240 | 28.89 | 96 | 2 | 2 | 0.41 | 89 | 238 | 30.21 | 96 | 2 | 2 | 0.38 | 98 | 240 | 29.84 | 92 | 4 | 4 | 0.4 | 106 | 421 | 28.97 | 92 | 4 | 4 | 0.38 | 98 | 417 | 28.29 | 92 | 4 | 4 | 0.39 | 96 | 406 | 27.64 | 92 | 4 | 4 | 0.38 | 105 | 410 | 29.70 | 92 | 4 | 4 | 0.39 | 104 | 420 | 27.97 | 88 | 6 | 6 | 0.38 | 257 | 741 | 26.34 | 88 | 6 | 6 | 0.37 | 259 | 732 | 24.32 | 88 | 6 | 6 | 0.37 | 257 | 740 | 25.75 | 88 | 6 | 6 | 0.41 | 260 | 729 | 24.86 | 88 | 6 | 6 | 0.38 | 242 | 731 | 24.98 | 84 | 8 | 8 | 0.42 | 338 | 985 | 22.59 | 84 | 8 | 8 | 0.39 | 339 | 975 | 21.79 | 84 | 8 | 8 | 0.38 | 340 | 954 | 22.38 | 84 | 8 | 8 | 0.43 | 320 | 953 | 21.52 | 84 | 8 | 8 | 0.39 | 338 | 958 | 20.24 | 80 | 10 | 10 | 0.42 | 385 | 1125 | 21.02 | 80 | 10 | 10 | 0.44 | 389 | 1117 | 20.07 | 80 | 10 | 10 | 0.43 | 396 | 1142 | 19.95 | 80 | 10 | 10 | 0.41 | 394 | 1135 | 19.04 | 80 | 10 | 10 | 0.43 | 388 | 1131 | 21.00 |
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