Network analysis of pore structure of coral reef limestone and its implications for seepage flow

中间性中心性 最短路径问题 渗透(认知心理学) 地质学 暗礁 渗流理论 珊瑚礁 中心性 计算机科学 拓扑(电路) 图形 数学 海洋学 理论计算机科学 生物 组合数学 神经科学
作者
Junpeng Wang,Xin Huang,Jun Xu,Zixin Zhang,Shuaifeng Wang,Yun Li
出处
期刊:Engineering Geology [Elsevier BV]
卷期号:318: 107103-107103 被引量:19
标识
DOI:10.1016/j.enggeo.2023.107103
摘要

Determining the seepage characteristics of coral reef limestone is highly significant for engineering activities on relevant strata. In this paper, the pore structure information of two types of coral reef limestones with distinct pore characteristics was obtained by combining computed tomography (CT) scanning technology and pore network modeling. We regarded the pore structure of coral reef limestone as a complex network, and the seepage inside is analogous to information transmission. Network analysis was performed on this network considering both global and individual network indicators. It was shown that the pore network of coral reef limestones has a short seepage distance and strong connectivity, and exhibits a prominent clustering effect. The centrality of network nodes indicated that very few pore nodes have extremely high centrality. Based on the Dijkstra algorithm, the shortest percolation paths along three orthogonal directions were obtained and visualized for both samples. This showed that the shortest percolation paths always converge to a few paths in all directions for a pore network of coral reef limestone with coarse pores. There existed a preferential seepage path characterized by more intensive shortest percolated paths. Some pore nodes with higher betweenness centrality were located at a crucial location in a few shortest percolation paths. A new indicator VB considering both the volume and betweenness centrality of the pore node was proposed. Those pore nodes with large VB values were identified as key pore nodes in the network, as seepage simulations showed that blockage of these key nodes causes a dramatic decrease in permeability.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
完美麦片完成签到,获得积分10
4秒前
lll完成签到,获得积分10
5秒前
务实鞅完成签到 ,获得积分10
6秒前
量子星尘发布了新的文献求助10
11秒前
mawenyu完成签到,获得积分10
12秒前
17完成签到,获得积分20
12秒前
高大的水壶完成签到,获得积分10
13秒前
英俊的铭应助wellyou采纳,获得10
15秒前
风中的向卉完成签到 ,获得积分10
18秒前
Mp4完成签到 ,获得积分10
18秒前
凌兰完成签到 ,获得积分10
18秒前
plain完成签到,获得积分10
19秒前
陌上花开完成签到,获得积分10
20秒前
21秒前
fg2477完成签到,获得积分10
22秒前
忙碌的数学人完成签到,获得积分10
22秒前
情怀应助Engen采纳,获得10
22秒前
HJJHJH完成签到,获得积分10
24秒前
Bob发布了新的文献求助10
25秒前
26秒前
27秒前
HJJHJH发布了新的文献求助50
28秒前
JW完成签到,获得积分10
28秒前
wanci应助张参采纳,获得10
29秒前
谦让的西装完成签到 ,获得积分10
30秒前
李演员完成签到,获得积分10
31秒前
fei菲飞完成签到,获得积分10
31秒前
33秒前
Zhaowx完成签到,获得积分10
33秒前
Theprisoners完成签到,获得积分0
33秒前
木子发布了新的文献求助30
33秒前
33秒前
下课了吧完成签到,获得积分10
34秒前
丘比特应助xialuoke采纳,获得10
35秒前
zgt01发布了新的文献求助10
37秒前
linfordlu完成签到,获得积分0
37秒前
清浅发布了新的文献求助10
38秒前
风趣的涵柏完成签到,获得积分10
39秒前
41秒前
Chen完成签到 ,获得积分10
42秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038235
求助须知:如何正确求助?哪些是违规求助? 3575992
关于积分的说明 11374009
捐赠科研通 3305760
什么是DOI,文献DOI怎么找? 1819276
邀请新用户注册赠送积分活动 892662
科研通“疑难数据库(出版商)”最低求助积分说明 815022