Table 5 Four new test data-points with various fiber contents to evaluate the effect of this parameter on the CS and examine the performance of machine learning techniques.
Fiber type | Fiber content (%) | Fiber length (mm) | Fiber diameter (mm) | w/c | Curing time (days) | Silica fume (%) | Aggregate size (mm) | Superplasticizer (kg/m3) |
|---|---|---|---|---|---|---|---|---|
Glass | 0.5 | 18 | 0.52 | 0.45 | 28 | 7.3 | 14 | 2.4 |
Glass | 0.75 | 18 | 0.52 | 0.45 | 28 | 7.3 | 14 | 2.4 |
Glass | 1 | 18 | 0.52 | 0.45 | 28 | 7.3 | 14 | 2.4 |
Glass | 1.25 | 18 | 0.52 | 0.45 | 28 | 7.3 | 14 | 2.4 |
Glass | 1.5 | 18 | 0.52 | 0.45 | 28 | 7.3 | 14 | 2.4 |
Glass | 1.75 | 18 | 0.52 | 0.45 | 28 | 7.3 | 14 | 2.4 |
Glass | 2 | 18 | 0.52 | 0.45 | 28 | 7.3 | 14 | 2.4 |
