For widespread distribution of layered foundation, deformation and bearing capacity are two important elements in engineering project, the calculating depth of additional stress must first be established in deformation computing. For structural features of layered foundation to explore the impact factors and variation of additional stress calculating depth, an integrated impact of soil structure, soil thickness and basis width on the calculating depth has been researched. It indicates that in two-layer foundation, the soft soil has a greater impact on the depth and the calculating depth will increase with the basis width increases, but which is the ratio of depth and basis width will reduce. Also, in multi-layered foundation, the overlying hard soil depth has little effect on the depth, depth and soft thickness with a negative correlation; with the base width increases, the calculating depth increases, presents a decreasing trend in a range. And addition, the deformation ratio method is proposed to determine the calculating depth of additional stress in multi-layered foundation which is with a obvious structure of layer.
The measured settlement curves of high-speed railway are presented with the characteristic of "small scale, large fluctuations", which is difficult to reach the requirements of curve regression coefficient with 0.92 on specification. This was done by adopting the method of mathematical simulation and hyperbola fitting to study the change rules of correlation coefficient on subgrade simulated settlement curve, under different conditions. From the analysis result, smaller value of parameter a and b, will have great influence on curve correlation coefficient, otherwise, the parameter c becomes the major factor; When c value is greater than 1.5mm, the parameter b becomes the major factor; Considering the premise, it is recommended that in order to observe the total settlement amount for working point <10(5)mm that can determine the post-Settlement deformation trend condition, the correlation coefficient of the regression curve minimum standards can be relaxed from 0.92 to 0.8.
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