Research Article
Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete
Table 1
Chemical composition of the ingredients used in the concrete mix.
| Chemical composition (mass, %) | Materials | VS | Clinker | Gypsum | Dolomitic aggregate | Natural sand |
| SiO2 | 46.52 | 21.30 | 0.90 | 0.42 | 93.39 | Al2O3 | 13.00 | 4.84 | 0.07 | 0.38 | 0.57 | Fe2O3 | 11.40 | 3.99 | 0.10 | 0.10 | 0.24 | CaO | 10.10 | 65.05 | 32.23 | 31.40 | 1.70 | CaOf | — | 2.1 | — | — | — | MgO | 9.11 | 1.81 | 0.20 | 20.46 | 0.20 | SO3 | 0.27 | 0.25 | 45.29 | 0.18 | 1.15 | Loss on ignition | 2.58 | — | 21.15 | 46.48 | 2.52 | Na2O | 2.14 | 0.60 | — | 0.06 | 0.06 | K2O | 0.77 | 0.28 | — | 0.30 | 0.05 | Cl− | <0.1 | 0.05 | — | 0.021 | 0.017 |
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