岩土力学2018，Vol.39Issue(2)：635-643,9.DOI:10.16285/j.rsm.2016.0313
基于不同方向模量损失率的含瓦斯煤各向异性渗透模型
An anisotropic permeability model of coal containing methane based on different directional modulus reduction ratios
摘要
Abstract
Coal,as a typical sedimentary rock,has a naturally anisotropic feature.For simplicity,coal is considered as an isotropic material in the study of coal permeability,and the corresponding isotropic permeability models have been proposed.However,the actual situation of gas-solid coupling in the field and laboratory tests cannot be well reflected by these models.In this paper,coal is treated as transversely isotropic,and an anisotropic permeability model is developed by using different directional modulus reduction ratios as the key parameters.The developed model is further implemented in COMSOL multiphysics software to comprehensively investigate the effect of coal anisotropy on gas diffusion and penetration.Theoretical and numerical results show that different directional modulus reduction ratios (Ri) reflect the degree of anisotropy of the coal structure.When Ri is different,the coal permeability is also not the same.Coal permeability is mainly governed by mechanical effects and desorption effects,and meanwhile,these two effects on each direction of the permeability of coal are controlled by boundary conditions.Ri is a reflection of these two effects.Under the uniaxial strain or displacement control boundary condition,the horizontal modulus reduction ratio (R1) has more significant effect on the amount of permeability change in the vertical direction (△kz) than on that in the horizontal direction (△kx).However,the vertical modulus reduction ratio (R3) has less effect on △kx than on △kz.关键词
含瓦斯煤/弹性模量损失率/解吸附效应/渗透模型/各向异性/气-固耦合Key words
coal containing methane/elastic modulus reduction ratio/desorption effects/permeability model/anisotropic/gas-solid coupling分类
数理科学引用本文复制引用
亓宪寅,李家卓,王威..基于不同方向模量损失率的含瓦斯煤各向异性渗透模型[J].岩土力学,2018,39(2):635-643,9.基金项目
国家重点研发计划(No.2017YFC0804202) （No.2017YFC0804202）
深部煤矿采动响应与灾害防控安徽省重点实验室开放基金(No.KLDCMERDPC17105).This work was supported by the National Key Research and Development Program of China (2017YFC0804202) and the Open Foundation of Key Laboratory of Deep Coal Mine Excavation Response & Disaster Prevention and Control,Anhui Province (KLDCMERDPC17105). （No.KLDCMERDPC17105）
