Experimental investigation of the seepage characteristics of a single fracture in limestone with different roughness and seepage fluids

地质学 磁导率 岩土工程 表面光洁度 断裂(地质) 表面粗糙度 溶解 含水层 材料科学 复合材料 地下水 遗传学 生物 物理化学 化学
作者
Lei Gan,Yu Liu,Teng Xu,Lei Xu,Hongying Ma,Weichao Xu
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:622: 129699-129699 被引量:13
标识
DOI:10.1016/j.jhydrol.2023.129699
摘要

To investigate the effects of roughness and seepage fluids on the seepage characteristics of limestone with rough fractures, five sets of limestone fracture specimens are obtained using 3D scanning and sculpting techniques, in which each set has the same fracture surface morphology. Both distilled water and sodium sulfate solutions were employed to implement seepage dissolution tests on the five sets of limestone specimens with different joint roughness coefficients (JRC). A novel method for characterizing the fracture surface morphology has been proposed, and the seepage characteristics of individual fractures have been investigated. Also, we analyzed the effects of different JRC and seepage solutions on the seepage parameters including seepage flow, equivalent hydraulic aperture, and permeability. Moreover, we presented a quantitative relationship between JRC and permeability. The results reveal that the seepage flow, equivalent hydraulic aperture, and permeability of each rough specimen under different seepage fluids decrease rapidly in the early stages and stabilize later. The dissolution can enhance the erosion of surface particles in the fracture and promote the seepage flow. The permeability and JRC follow a quadratic function in which the empirical parameters can be expressed as a quadratic function and an exponential function of time. This study can provide a theoretical basis for estimating the permeability of fracture with different roughness under different water environments.

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
kkk发布了新的文献求助10
刚刚
思源应助邱冯冯采纳,获得10
2秒前
zhl完成签到,获得积分10
2秒前
zimuabcd应助wushan1981采纳,获得20
3秒前
4秒前
Krstal完成签到 ,获得积分10
5秒前
hi发布了新的文献求助10
6秒前
TLL完成签到,获得积分10
7秒前
8秒前
9秒前
9秒前
9秒前
10秒前
SqianHou1发布了新的文献求助10
11秒前
11秒前
HD完成签到,获得积分10
12秒前
v0id应助野椒搞科研采纳,获得10
13秒前
14秒前
山谷发布了新的文献求助10
14秒前
彭于晏应助科研通管家采纳,获得10
14秒前
15秒前
1204完成签到 ,获得积分10
15秒前
情怀应助科研通管家采纳,获得10
15秒前
15秒前
江俊发布了新的文献求助10
15秒前
传奇3应助科研通管家采纳,获得10
15秒前
15秒前
汉堡包应助科研通管家采纳,获得10
15秒前
田様应助mirror采纳,获得10
15秒前
16秒前
科研大白完成签到,获得积分10
16秒前
16秒前
16秒前
豪士赋发布了新的文献求助10
16秒前
斯文败类应助科研通管家采纳,获得50
16秒前
16秒前
17秒前
Jasper应助Xiao采纳,获得10
17秒前
张欢馨应助nono采纳,获得10
17秒前
cheesejiang完成签到,获得积分10
19秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583835
求助须知:如何正确求助?哪些是违规求助? 9162517
关于积分的说明 19607303
捐赠科研通 7165774
什么是DOI,文献DOI怎么找? 3266322
关于科研通互助平台的介绍 2431240
邀请新用户注册赠送积分活动 2257802