岩土工程学报2025，Vol.47Issue(8)：1629-1640,12.DOI:10.11779/CJGE20240339
考虑土的粒径级配及变形的土-水特征曲线模型
Model for soil-water characteristic curve considering grain-size distribution and deformation of soils
摘要
Abstract
The particle-size distribution(PSD)of soils has been widely used in the estimation of soil-water characteristic curve(SWCC),and the pore-size distribution(POSD)of soils has an important effect on the SWCC,and the relationship between PSD and POSD is of great significance for the study of SWCC.Through the analysis of a large amount of experimental data,it is shown that there is a linear"ladder"distribution law between particle size and pore size in the double logarithmic coordinates,and the larger the particle size is,the more obvious the linear"ladder"is;the smaller the particle size is,the"ladder"disappears gradually and tends to linear distribution.The smaller the particle size,the"ladder"gradually disappears and tends to linear distribution.Based on this,firstly,the relationship between particle size and pore size is established according to the linear"step"distribution law;secondly,according to the Young-Laplace equation,the particle-size distribution function and pore ratio are introduced to establish a SWCC model considering the particle-size distribution and deformation of soils.Finally,the model is verified through several sets of experimental data,and the results show that all the proposed models in this study can conform to the experimental observations better,which verifies the reliability of the model.关键词
土-水特征曲线/粒径级配/Young-Laplace方程/土体变形Key words
soil-water characteristic curve/grain-size distribution/Young-Laplace equation/soil deformation分类
建筑与水利引用本文复制引用
唐晓林,童立红,徐长节,丁智,丁海滨,柳伟..考虑土的粒径级配及变形的土-水特征曲线模型[J].岩土工程学报,2025,47(8):1629-1640,12.基金项目
国家自然科学基金项目(52168049,52278350,52178400) （52168049,52278350,52178400）
国家重点研发计划项目(2023YFC3009400) （2023YFC3009400）
赣鄱俊才支持计划项目(2024QT04)This work was supported by the National Natural Science Foundation of China(Grant Nos.52168049,52278350,52178400),the National Key R&D Program of China(Grant No.2023YFC3009400),and the Natural Science Foundation of Jiangxi Province(Grant No.2024QT04). （2024QT04）
