楚玛尔河黏性土与砂土导热系数试验研究  

Experimental Study on Thermal Conductivity of Clayey and Sandy Soil From the Chumar River Area

作　　者：崔福庆[1,2] 王伟 刘志云[1] 张伟[1] CUI Fuqing;WANG Wei;LIU Zhiyun;ZHANG Wei(College of Geology Engineering and Geomatics,Chang an University,Xi an,Shaanxi 710054;State Key Laboratory of Road Engineering Safety and Health in Cold and High-Altitude Regions,CCCC First Highway Consultants Co.Ltd.,Xi an,Shaanxi 710075)

机构地区：[1]长安大学地质工程与测绘学院,陕西西安710054 [2]中交第一公路勘察设计研究院有限公司,高寒高海拔地区道路工程安全与健康国家重点实验室,陕西西安710075

出　　处：《地质与勘探》2021年第3期621-630,共10页Geology and Exploration

基　　金：国家自然科学基金(编号:51574037、41502292);中国交通建设股份有限公司应用基础研究(编号:2018-ZJKJ-PTJS03)联合资助。

摘　　要：为探究青藏工程走廊带楚玛尔河地区冻融土导热系数的基本规律,采用瞬态平面热源法测试了148个冻土试样和88个融土试样导热系数。对楚玛尔河地区黏性土和砂土导热系数的总体特征及影响因素进行分析;对黏性土、砂土导热系数与干密度和含水率之间进行二元回归方程拟合,并分别建立黏性土、砂土RBF神经网络预测模型。结果表明:楚玛尔河黏性土导热系数分布较为集中,砂土导热系数离散度高,分布范围较广;二元回归方程对黏性土、砂土导热系数平均拟合优度较低;与二元回归方程相比,以干密度和含水率作为输入因子所建立的楚玛尔河黏性土、砂土导热系数RBF神经网络预测模型具有更高的精确度。研究成果可有效预测青藏工程走廊带土体导热系数,对冻土温度场计算具有重要指导意义。The purpose of this work is to clarify the thermal conductivity of frozen-thaw soil in the Chumar River area of the Qinghai-Tibet project corridor.This parameter of 148 frozen soil samples and 88 thawed soil samples was measured by the transient plane heat source method.Then the overall characteristics and influencing factors of the thermal conductivity of clayey and sandy soil in this area were analyzed.Binary regression equation fitting between the thermal conductivity of clayey and sandy soil and dry density and moisture content was performed,and RBF neural network prediction models for clayey and sandy soil were established,respectively.The results show that the thermal conductivity coefficients of clay soil in the study area are relatively concentrated,while those of sandy soil show high dispersion and a wide range.The fitting degrees of binary regression equation to the thermal conductivity of clay and sand are relatively low,while the RBF neural network prediction models established by using dry density and moisture content as input factors have higher accuracies.These results can be helpful in effective prediction of the thermal conductivity of the soil in the Qinghai-Tibet project corridor,and have important guiding significance for calculation of the temperature field of frozen soil.

关 键 词：多年冻土 导热系数 RBF神经网络 楚玛尔河 青藏工程走廊带 

分 类 号：P642.14[天文地球—工程地质学]