Research on the Mechanical Strength of Emulsified Asphalt-Cement StabilizedMacadam Based on Neural Network Algorithm

摘要

In this paper, we research the application of mechanical strength experiment on emulsified asphalt cementstabilizedmacadam based on neural network algorithm. Basing on the analysis on the early diseases of asphalt pavementwhich uses semi-rigid base, solving the problem of semi-rigid base asphalt pavement's reflection crack, this paper proposesthe research approach that using modified semi-rigid base, appropriate pavement structure as the point of starting.Combining with the past emulsified asphalt-cement stabilized macadam material mixing methods, the construction technologiesof cement stabilized macadam and synchronous chip sealing, this paper has come up a new method for modificationsemi-rigid base. The unconfined compressive strength and splitting strength of the mixtures would decrease as themixing amount of emulsified asphalt increases, and the reduction rate of compressive strength decreases as the curing agegrows. The mixing amount of emulsified asphalt has almost no influence on the flexural-tensile strength at normal temperature,so it can be ignored. The experimental result shows that the emulsified asphalt cement stabilized macadam hasfood performance than traditional methods.