An innovative coal permeability model based on elastoplastic mechanics: Development and verification

物理 磁导率 机械 流体力学 机械工程 废物管理 工程类 遗传学 生物
作者
Hengyu Wang,Bobo Li,Jianhua Li,Chonghong Ren,Pingping Ye,Yang Bai
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:36 (12)
标识
DOI:10.1063/5.0247847
摘要

With the continuous mining of shallow coal resources, deep mining has increasingly become the norm. However, the migration mechanism of coalbed methane (CBM) in coal seams becomes exceptionally complex due to the combined influence of multiple factors in deep mining, posing considerable challenges to coal and gas co-mining. Therefore, studying the coal's mechanical behavior and seepage evolution mechanisms during deep mining is necessary. This study established a coal permeability model based on elastoplastic mechanics, considering the impacts of coal matrix destruction on the average fracture aperture. It assumed that the fracture aperture follows an exponential distribution and further introduced plastic strain to characterize the damage process in coal. The proposed permeability model was validated using the indoor experimental data. Subsequently, the control mechanisms of force-heat coordination effects on coal permeability were discussed, and the sensitivity of model parameters was analyzed. The results demonstrated that the established permeability model effectively described the evolution of coal permeability under the combined impacts of temperature and effective stress. Moreover, the fracture number ratio (η) and the influence coefficient of plastic strain increment on the average fracture aperture (β) not only connected the dilation of microfractures and plastic deformation in coal but also effectively reflected the relationship between permeability and plastic deformation during the failure process of coal. The results presented in this paper contributed to understanding the evolution of permeability during coal and gas co-mining, which should be of great significance for reducing coal and gas outburst hazards.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xiaokai完成签到,获得积分20
刚刚
1秒前
1秒前
2秒前
2秒前
2秒前
3秒前
4秒前
海贼学术发布了新的文献求助10
4秒前
头头发布了新的文献求助10
4秒前
4秒前
ouleoule完成签到 ,获得积分10
5秒前
balelalala发布了新的文献求助30
5秒前
6秒前
bkagyin应助碧蓝亦玉采纳,获得10
6秒前
英俊的铭应助隐形樱桃采纳,获得10
6秒前
小强发布了新的文献求助10
7秒前
情怀应助xiaokai采纳,获得10
7秒前
7秒前
a_hu发布了新的文献求助10
8秒前
阳光发布了新的文献求助10
8秒前
hh完成签到,获得积分10
8秒前
Jasper应助找不到文献采纳,获得10
8秒前
8秒前
8秒前
cmuzf完成签到,获得积分10
8秒前
9秒前
缓慢思枫发布了新的文献求助30
9秒前
胡昕跃发布了新的文献求助10
10秒前
天地一体完成签到,获得积分10
10秒前
wxs完成签到,获得积分10
10秒前
贱贱发布了新的文献求助10
10秒前
领导范儿应助bbb采纳,获得10
10秒前
量子星尘发布了新的文献求助10
11秒前
ding应助学渣采纳,获得10
12秒前
田様应助黎行云采纳,获得10
12秒前
打打应助楠楠采纳,获得10
13秒前
ww完成签到,获得积分20
13秒前
星辰大海应助笑点低涟妖采纳,获得10
13秒前
充电宝应助soso采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6052990
求助须知:如何正确求助?哪些是违规求助? 7869446
关于积分的说明 16276856
捐赠科研通 5198467
什么是DOI,文献DOI怎么找? 2781408
邀请新用户注册赠送积分活动 1764363
关于科研通互助平台的介绍 1646062