The invention relates to a roadbed soil dynamic rebound modulus predicting
system and method. The
system comprises a soil sampler, an electronic balance, a
drying box, a volume-weight tester, a liquid-plastic limit combined tester, a triaxial experiment instrument and a computer. The liquid-plastic limit combined tester comprises a support, an
electromagnet, a cone penetrator with a scaleplate, a sample cup, a
control switch and a lifting base, wherein the
electromagnet is installed in an upper frame of the support, the cone penetrator with the scaleplate is adsorbed to the portion below the
electromagnet, the lifting base is installed in a lower frame of the support, the sample cup is located on the lifting base, and the
control switch is located on the side face of the lower frame of the support. Compared with the prior art, the roadbed soil dynamic rebound modulus predicting
system and method are based on a
radial basis function neural network, selected input indexes have defined meanings, a predicting model is high in
automation degree, and the roadbed soil dynamic rebound modulus predicting system has the advantages of being high in calculation speed and accuracy, and suitable for
engineering realization.