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 (%)GIGyratory numberJnr3.2 (kPaāˆ’1)SA (m2/kg)Surface energy (mJ/m2)GsbShea strength (MPa)

4.841.5501.444.7045.062.7751.218
4.747.0751.444.5945.012.7761.320
4.652.61001.444.1444.912.7761.386
4.663.31251.443.8144.742.7781.454
4.641.5503.624.7045.062.7751.129
4.547.0753.624.5945.012.7761.194
4.552.61003.624.1444.912.7761.263
4.563.31253.623.8144.742.7781.334
4.741.5506.344.7045.062.7751.034
4.647.0756.344.5945.012.7761.112
4.552.61006.344.1444.912.7761.118
4.563.31256.343.8144.742.7781.228
4.766.6751.444.5544.152.7821.420
4.682.61001.444.1644.022.7831.589
4.766.6756.344.5544.152.7821.145
4.682.61006.344.1644.022.7831.196
4.766.6753.624.5544.152.7821.298
4.682.61003.624.1644.022.7831.395