An Experimental Study On The Freezen Feature Of Pisha Sand Stone In Erdos

The pisha stone area of Inner Mongolia has a temperate continental climate with four clearly distinct seasons. As for the winter and spring, the temperature raises rapidly with the solar radiation in the day, which is called "thawing". When the night comes, the temperature goes down rapidly,which is called "freezing". This recurren phenomenon makes the soil of pisha ston changes as well. As a result, the soil structure becomes more loosely because of the variation between water and ice. Of course the roadbed stability goes bad, and its weathering process is aggravated. The top soil layer’s structure changes with its recurrent phenomenon. Finally, the pisha stone faces the freezing-thawing erosion.The problem of heavily erosion, wastage, and side slope protection are correlated with seasonal freeze in the area of pisha sandstone. As a result, it changes the internal structure, which affects the physical and mechanical properties.In order to study the relationship between Freeze capacity of Pisha Sandstone and its moisture rate, temperature, and dry density as well, this essay focuses on the multi-factor experiment on different moisture, temperature, and dry density at Zhungeer Banner, Erdos City, Inner Mongolia Autonomous Region. According to the study, it will almost not be frozen, when the moisture rate is below 11 percentage. When it comes between 12 to 16 percentage, the moisture rate will be changed. The freeze rate and moisture rate have a good linear relationship. The orignical freeze rate and moisture rate is not within its limits, when the temperature is -10℃, so the rock properties of pisha stone needs a further confirm.. The freeze rate is increased with the increase of the dry density. It will be performed exceptionally, when the temperature is -20℃. The freeze rate is increased with the decrease of Cold junction temperature. However, as for the materials which own 1.85 g/cm3 dry density, the freeze rate is in decreasing state with the decrease of cold junction temperature. The moisture rate and temperature have a outstanding influence on pisha stone’s freeze rate, and the secondary factors are the dry density. By SPSS software on the study of its data with mult-non-linear regression, the regression equations of freeze rate is confirmed under multi-factor among the moisture rate, dry density, and temperature.