摘要
土体渗透系数是研究土体固结沉降、渗透变形、溶质运移等众多工程地质和岩土工程问题的关键参数。经典的土体渗透系数预测模型通常是利用土体渗透系数与孔隙比或粒径间的关系来预测,这些模型往往可以较好地预测单一土体的土体渗透系数,但一般不具备普适性。通过大量的试验数据分析,指出传统的土体渗透系数预测模型不具备普适性的原因,明晰孔径特征而非孔隙比或者粒径是决定土体渗透系数的关键因素,并基于Kozeny-Carman方程,建立土体渗透系数与孔径的关系模型。该模型对于粗颗粒土和细颗粒土都具适用性,且预测精度在1个数量级内。研究结果加深了对多孔介质渗透特性的认识,并为土体渗透系数预测模型的构建提供了新的思路。
Soil permeability coefficient is a key parameter for studying many engineering geological and geotechnical problems such as soil consolidation and settlement,infiltration and deformation,and solute transport.The classical models for predicting soil permeability coefficient are usually the relationship between permeability coefficient and pore ratio or grain size,and these models can often predict the soil permeability coefficient of a single soil body better,but generally with no wide applicability.In this paper,we analyzed a large amount of experimental data to point out the reasons why the traditional models do not have universal applicability,and clarified that pore size characteristics rather than pore ratio or grain size are the key factors in determining the soil permeability coefficient.Based on the Kozeny-Carman equation,a model of the relationship between soil permeability coefficient and pore size was established.The model is applicable to both coarse-grained and fine-grained soils,and the prediction accuracy is within one order of magnitude.This study improves the understanding of the permeability characteristics of porous media and provides a new idea for the prediction of soil permeability coefficient.
作者
徐用之
刘金阳
许成波
罗金
任兴伟
XU Yongzhi;LIU Jinyang;XU Chengbo;LUO Jin;REN Xingwei(Faculty of Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China;Wuhan Urban Construction Group,Wuhan 430022,China;Yunnan Geological Engineering Survey Co.,Ltd.,Kunming 650051,China;Yejin Geological Team of Hubei Geological Bureau,Huangshi 435004,China)
出处
《安全与环境工程》
CAS
CSCD
北大核心
2024年第1期67-74,共8页
Safety and Environmental Engineering
基金
国家自然科学基金项目(51708526)。
关键词
饱和土体
渗透系数
孔径
孔隙比
比表面积
saturated soil
permeability coefficient
pore size
pore ratio
specific surface area
