Research On Relationship Between Physical And Mechanical Parameters And Thermal Conductivity Of Loess

In this paper,thermal conductivity,static sounding and seismic velocity test in Hongliu mine loess foundation are analyzed,the influence factors and influence mechanism of thermal conductivity,especially focus on analysis of the influence of water content,density,saturation and other parameters on the thermal conductivity,thermal conductivity coefficient and related physical and mechanical parameters of a linear regression at the same time,according to the analysis;taking a large number of waste soil samples brought some engineering problems,and the statistics of physical and mechanical indexes in the traditional outlier identification and hierarchical rationality evaluation are studied,results are as follows:(1)Thermal conductivity and water content,water content,density,saturation,liquid index,saturated gravity pressure,cohesion,internal friction angle,standard penetration index curve fitting degree is good,there is a significant linear correlation between;(2)Thermal conductivity and dry density,porosity,void ratio,liquid gap ratio,depth of soil fitting degree is general,there is a certain correlation;Thermal conductivity and liquid limit,plastic limit,plasticity index,coefficient of compressibility,collapsibility coefficient,coefficient of collapsibility,static probe tip resistance and static probe side resistance,seismic shear wave velocity index curve fitting degree difference,linear correlation.(3)The concept of optimal statistical frequency.The physical and mechanical parameters of foundation soil,there is an optimal frequency statistics,when a statistical frequency of soil layer reaches this value,the average value of the indexes remained stable,increasing the number of sampling and test reliability can not increase the true value.The concept of optimal frequency statistics for the actual project,in order to avoid the pursuit of reliability statistical results and a large number of experiments were carried out to bring the waste,saving the investment,shorten the construction period,but also can guarantee the credibility of the results of statistics;(4)The clustering analysis algorithm is proposed to analyze the dispersion of mathematical statistics results.Through the clustering of soil index analysis,found abnormal data,can make reasonable dispersion and stratification on statistical data evaluation,so that the division of mathematical statistics unit is more reasonable and more reliable statistical results,can improve the foundation economy,rationality,reduce the risk of the project,there are a positive role to ensure the quality of the project.