Research Article
Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams
Table 1
Variables of the concrete fracture energy prediction model.
| Variables | Items | Minimum | Maximum | Average | Standard deviation |
| Input variables | S (mm) | 191.0 | 2000.0 | 720.0 | 252.2 | W (mm) | 50.0 | 400.0 | 121.6 | 54.3 | T (mm) | 40.0 | 152.0 | 88.5 | 17.8 | a0 (mm) | 5.0 | 207.0 | 44.4 | 34.0 | w/c | 0.19 | 0.80 | 0.39 | 0.14 | λ | 0.17 | 0.56 | 0.28 | 0.05 | dmax (mm) | 1.0 | 32.0 | 14.9 | 4.7 | fc (MPa) | 4.0 | 180.0 | 57.9 | 22.2 |
| Output variables | Gf (N/m) | 36.3 | 367.0 | 149.0 | 80.5 |
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