Research Article
Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model
Table 1
The input influencing variables in the BRF model.
| No. | Influencing variables | Min | Max | Average | Standard deviation |
| 1 | Cement (kg/m3) | 131 | 550 | 368.1 | 73.9 | 2 | Water (kg/m3) | 150 | 225 | 187.6 | 24.3 | 3 | aSCMs (kg/m3) | 0 | 357.5 | 71.0 | 125.3 | 4 | Superplasticizer (%) | 0 | 7.8 | 1.76 | 2.9 | 5 | bCA (kg/m3) | 0 | 1202.8 | 999.8 | 238.3 | 6 | cCRA (kg/m3) | 0 | 1160 | 63.1 | 186.7 | 7 | dFA (kg/m3) | 0 | 942 | 619.4 | 165.1 | 8 | eFRA (kg/m3) | 0 | 630 | 49.9 | 98.3 | 9 | Ages (d) | 1 | 91 | 26.6 | 25.7 |
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aSupplementary cementitious materials; bcoarse aggregate; cfine aggregate; dcoarse rubber aggregate; efine rubber aggregate.
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