| The study on frost heave is always a hot subject in the frozen soil research field, it has great difference in frost heave characteristics to each kind of soil. The slity soil has the greatest frost heave strength in all of soil and the aerolian sandy soil belongs to it, so it is necessary to the study on frost heave mechanics of aeolian sandy soil and measure of prevent frost heave in railway construction. In this paper, the calculating model for coupling function of water movement and heat conduction in subgrade is established based on the theory of continuum mechanics and the thermodynamics. The load function's influence to frost heave is qualitative consideration in the model. The relationship of moisture content and temperature change with time and depth is calculated by use of Matlab. In the other side, since the frost heave is a strongly non-linear problem, the neural networks prediction model is established. The slity soil frost ratio can be predicted through the input parameter of water content, density and freezing speed and the frost ratio is used in railway construction. By means of study on frost heave mechanics, the measures of frost heave prevention are discussed in today railway construction to different natural conditions.
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