Abstract：
To forecast the surface frost heave caused by artificial freezing method, this paper takes a subway project of Guangzhou study background, uses random medium theory to establish a calculation model for U-shaped horizontal frost heave, and discusses the determination of two key factors involved in the calculation model, including radius of freezing front and outer radius of frost heaving area. The sensitivity of various parameters influencing surface frost heave is analyzed. The calculation result shows that surface frost heave caused by horizontal freezing is a normal distribution and reaches its maximum value at tunnel center; parameter sensitivity analysis finds that the sensitivity of different parameters is constant, soil mass frost-heaving ratio, embedded depth of tunnel, tangent value of angle mainly influenced by soil mass and radius of frozen tube distribution circle (listed in a decreasing sequence); the maximum vertical displacement increases after increase of radius of distribution circle, constant, frost-heaving ratio and tangent value of angle mainly influenced by soil mass and decreases after increase of embedded depth. The reliability of the model is proved through comparison to measured data, providing references for future design and construction of similar project.
HUANG?Yi-chun,?CAI?Hai-bing,?LI?Yang. SURFACE FROST HEAVE FORECAST AND PARAMETER SENSITIVITY ANALYSIS BASED
ON RANDOM MEDIUM THEORY[J]. Architecture Technology, 2015, 46(10): 932-936.
