Visualization and early warning analysis of damage degree of surrounding rock mass in underground powerhouse

岩体分类 可视化 不稳定性 三峡 地质学 微震 计算机科学 采矿工程 水力发电 数据挖掘 地震学 岩土工程 工程类 机械 物理 电气工程
作者
Yuepeng Sun,Haijian Su,Peiwei Xiao,Peng Li,Biao Li,Xiang Zhou,Kaiqi Bian,Nuwen Xu
出处
期刊:International journal of mining science and technology [Elsevier BV]
卷期号:33 (6): 717-731 被引量:9
标识
DOI:10.1016/j.ijmst.2022.12.011
摘要

Based on the underground powerhouse of Shuangjiangkou hydropower station, Octree theory is adopted to define the indices of the microseismic (MS) spatial aggregation degree and the deviation values of MS count and energy. The relationship between the MS multiple parameters and surrounding rock mass instability is established from three aspects: time, space, and strength. Supplemented by the center frequency of the signal evolution characteristics, A fuzzy comprehensive evaluation model and the evolution trend of the MS event center frequency are constructed to quantitatively describe the early warning state of the surrounding rock mass instability. The results show that the multilevel tree structure and voxels generated based on the Octree theory fit relatively well with the set of MS points in three-dimensional space. The fuzzy comprehensive evaluation model based on MS spatial aggregation and MS count and energy deviation values enables three-dimensional visualization of the potential damage area and damage extent of the surrounding rock mass. The warning time and potential damage zone quantified are highly consistent with the characteristics of MS precursors, with wide recognition and field investigation results, which fully validate the rationality and applicability of the proposed method. These findings can provide references for the early warning of surrounding rock mass instability in similar underground engineering.

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
刚刚
see发布了新的文献求助10
1秒前
A001发布了新的文献求助10
1秒前
傻傻的曼柔完成签到,获得积分10
1秒前
1秒前
big胆完成签到,获得积分10
1秒前
2秒前
3秒前
自信兔子发布了新的文献求助10
3秒前
4秒前
Nole应助角角采纳,获得10
4秒前
Calvin发布了新的文献求助30
5秒前
脑洞疼应助Rainbow采纳,获得200
6秒前
rodney2023发布了新的文献求助10
6秒前
7秒前
malan发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
8秒前
8秒前
9秒前
大模型应助LJS采纳,获得10
9秒前
wangch198201发布了新的文献求助10
9秒前
believe发布了新的文献求助10
9秒前
11秒前
zsh完成签到,获得积分10
11秒前
Zara完成签到,获得积分20
12秒前
lobster发布了新的文献求助10
12秒前
FashionBoy应助文静入学采纳,获得10
12秒前
13秒前
13秒前
13秒前
许平平发布了新的文献求助10
13秒前
初景发布了新的文献求助10
13秒前
A001完成签到,获得积分20
14秒前
apckkk发布了新的文献求助10
14秒前
奶油蜜豆卷完成签到,获得积分10
14秒前
顾矜应助Xu采纳,获得10
14秒前
Gary完成签到,获得积分10
15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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7610946
求助须知:如何正确求助?哪些是违规求助? 9186638
关于积分的说明 19680176
捐赠科研通 7184725
什么是DOI,文献DOI怎么找? 3270449
关于科研通互助平台的介绍 2434085
邀请新用户注册赠送积分活动 2265210