Research Article
Establishment of a Shear Strength Prediction Model for Asphalt Mixtures with Raw Materials Properties and Design Parameters
Table 6
Data for validating the prediction model.
| Asphalt-aggregate ratio (%) | GI | Gyratory number | Jnr3.2 (kPaā1) | SA (m2/kg) | Surface energy (mJ/m2) | Gsb | Shea strength (MPa) |
| 4.8 | 41.5 | 50 | 1.44 | 4.70 | 45.06 | 2.775 | 1.218 | 4.7 | 47.0 | 75 | 1.44 | 4.59 | 45.01 | 2.776 | 1.320 | 4.6 | 52.6 | 100 | 1.44 | 4.14 | 44.91 | 2.776 | 1.386 | 4.6 | 63.3 | 125 | 1.44 | 3.81 | 44.74 | 2.778 | 1.454 | 4.6 | 41.5 | 50 | 3.62 | 4.70 | 45.06 | 2.775 | 1.129 | 4.5 | 47.0 | 75 | 3.62 | 4.59 | 45.01 | 2.776 | 1.194 | 4.5 | 52.6 | 100 | 3.62 | 4.14 | 44.91 | 2.776 | 1.263 | 4.5 | 63.3 | 125 | 3.62 | 3.81 | 44.74 | 2.778 | 1.334 | 4.7 | 41.5 | 50 | 6.34 | 4.70 | 45.06 | 2.775 | 1.034 | 4.6 | 47.0 | 75 | 6.34 | 4.59 | 45.01 | 2.776 | 1.112 | 4.5 | 52.6 | 100 | 6.34 | 4.14 | 44.91 | 2.776 | 1.118 | 4.5 | 63.3 | 125 | 6.34 | 3.81 | 44.74 | 2.778 | 1.228 | 4.7 | 66.6 | 75 | 1.44 | 4.55 | 44.15 | 2.782 | 1.420 | 4.6 | 82.6 | 100 | 1.44 | 4.16 | 44.02 | 2.783 | 1.589 | 4.7 | 66.6 | 75 | 6.34 | 4.55 | 44.15 | 2.782 | 1.145 | 4.6 | 82.6 | 100 | 6.34 | 4.16 | 44.02 | 2.783 | 1.196 | 4.7 | 66.6 | 75 | 3.62 | 4.55 | 44.15 | 2.782 | 1.298 | 4.6 | 82.6 | 100 | 3.62 | 4.16 | 44.02 | 2.783 | 1.395 |
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