岩土工程学报2026，Vol.48Issue(1)：54-64,11.DOI:10.11779/CJGE20240654
基于PFM-LBM的冻土渗透特性介观尺度数值研究
Numerical simulation of permeability characteristics of saturated frozen soils based on PFM-LBM
摘要
Abstract
Hydraulic conductivity of frozen soils macroscopically reflects the migration and phase change of liquid in soil,which is the key to the phenomenon of frost-heave.High sensitivity of frozen soil to temperature and fluid presents significant challenges for the physical measurement of its hydraulic conductivity.Therefore,the development of reliable numerical analysis methods at micro level is a valuable exploration.In this study,the structure of the porous medium of soil samples is first reconstructed using gradation curves,and then a numerical method based on PFM(phase field method)and LBM(Lattice Boltzmann method)coupling is proposed to investigate the permeability characteristics of frozen soils at the mesoscale.Based on existing experimental data and analytical models,the proposed model is validated.On this basis,the effects of unfrozen water content and different ice formation methods on the permeability characteristics of frozen soils are studied.The results show that the unfrozen water content has a significant effect on the hydraulic conductivity of frozen soils,which is mainly reflected in the increase of the fluid relative specific interface length Rf and the tortuosity τf.The effect of pore filling and particle coating on the permeability coefficient of frozen soil is different:the former is more closely related to Rf;for the latter,the influence of τf becomes much stronger with the decrease of unfrozen water content.关键词
饱和冻土/相场法/格子Boltzmann方法/渗透特性/介观尺度Key words
saturated frozen soil/phase field method/Lattice Boltzmann method/permeability characteristics/mesoscale分类
建筑与水利引用本文复制引用
HU Yuyang,SUN Chenzhang,YAN Han,TENG Jidong,ZHANG Sheng..基于PFM-LBM的冻土渗透特性介观尺度数值研究[J].岩土工程学报,2026,48(1):54-64,11.基金项目
国家重点研发计划(2022YFB2603301) （2022YFB2603301）
国家自然科学基金项目(52178376)This work was supported by National Key Research and Development Program of China(Grant No.2022YFB2603301),and National Natural Science Foundation of China(Grant No.52178376). （52178376）
