Research Article
Prediction of the Mechanical Properties of Fibre-Reinforced Quarry Dust Concrete Using Response Surface and Artificial Neural Network Techniques
Table 4
Analysis of variance of RSM model.
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Source | Compressive strength | Split tensile strength | | DF | F value | value | DF | F value | value |
| | Model | 9 | 27.12 | 0.001 | 9 | 8.23 | 0.016 | | Linear | 3 | 74.19 | 0.000 | 3 | 3.21 | 0.121 | | | 1 | 148.62 | 0.000 | 1 | 3.51 | 0.120 | | | 1 | 61.87 | 0.001 | 1 | 1.48 | 0.278 | | | 1 | 12.09 | 0.018 | 1 | 4.64 | 0.084 | | Square | 3 | 0.92 | 0.494 | 3 | 18.52 | 0.004 | | | 1 | 1.58 | 0.265 | 1 | 29.25 | 0.003 | | | 1 | 0.11 | 0.750 | 1 | 20.41 | 0.006 | | | 1 | 0.90 | 0.388 | 1 | 14.09 | 0.013 | | Two way interaction | 3 | 2.98 | 0.038 | 3 | 2.98 | 0.135 | | | 1 | 8.49 | 0.653 | 1 | 8.49 | 0.033 | | | 1 | 0.00 | 0.011 | 1 | 0.00 | 1.000 | | | 1 | 0.44 | 0.150 | 1 | 0.44 | 0.537 |
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