Dynamic Modulus Prediction of a High-Modulus Asphalt Mixture

Table 4

Regression prediction model (R²＞0.9).

No.	Prediction model	R^2
1	Y = 93423.05 − 1189.723X1 − 6110.695X4 + 25.437X1X4 + 6.944X1^2 + 142.752X4^2	0.921
2	Y = 88639.004 − 884.509X1 + 843.517X2 − 10920.476X4 − 5.577X1X2 + 39.228X1X4 + 58.286X2X4 + 5.413X1^2 − 9.927X2^2 + 164.529X4^2	0.941
3	Y = 50908.774 − 955.491X1 + 3123.979X3 − 1626.14X4 − 10.104X1X3 + 18.105X1X4 − 263.252X3X4 + 5.36X1^2 + 29.575X3^2 + 49.024X4^2	0.939
4	Y = 110656.631 − 1280.02X1 − 10467.593X4 + 4.517X5 + 55.535X1X4 − 0.039X1X5 − 0.41X4X5 + 6.147X1^2 + 360.134X4^2	0.960
5	Y = 103658.4 − 1433.557X2 − 30437.188X3 + 13.253X5 + 440.443X2X3 − 0.633X2X5 + 2.309X3X5 + 17.679X2^2 − 586.769X3^2 + 0.001X5^2	0.920
6	Y = 62018.428 − 1990.383X1 − 2597.742X4 − 68.109X1X2 + 554.347X1X3 + 0.996X1X4 + 253.463X2X3 + 304.297X2X4 − 2727.888X3X4 + 50.018X1^2 − 23.046X2^2 + 375.436X3^2 − 127.912X4^2	0.996
7	Y = −68635.135 + 2082.956X1+3823.682X2 − 33.416X5 − 80.07X1X2 + 184.77X1X3 + 0.15X1X5 − 83.988X2X3 + 3.29X3X5 + 22.793X1^2 − 6.952X2^2 − 1246.046X3^2 + 0.001X5^2	0.972
8	Y = 325615.554 − 1532.608X1 − 6637.453X2 − 13748.372X4 + 24.671X5 + 35.92X1X2 − 5.982X1X4 − 0.294X1X5 − 1.074X4X5 + 5.743X1^2 + 38.3X2^2 + 665.09X4^2	0.986
9	Y = 69989.91 − 6102.336X3 − 4491.458X4 + 3.572X5 + 72.615X1X3 − 53.917X1X4 − 0.099X1X5 + 1.374X3X5 − 0.592X4X5 + 9.073X1^2 − 272.144X3^2 + 286.187X4^2	0.992
10	Y = 205353.815 − 3885.777X2 − 19395.397X3 − 5926.33X4 + 16.572X5 + 287.339X2X3 − 87.746X2X4 − 0.453X2X5 + 2.579X3X5 − 0.965X4X5 + 40.402X2^2 − 822.101X3^2 + 598.769X4^2 + 0.001X5^2	0.998
11	Y = −26254.691 − 89.279X2 + 8888.267X4 − 1.841X5 − 30.222X1X2 + 253.913X1X3 − 72.27X1X4 − 0.033X1X5 + 165.611X2X3 − 1441.992X3X4 + 0.921X3X5 − 0.527X4X5 + 24.933X1^2 − 180.823X3^2 + 107.771X4^2	0.998