Unloading-induced rock fracture activation and maximum seismic moment prediction

地质学 断裂(地质) 地震力矩 力矩(物理) 岩土工程 地震学 断层(地质) 经典力学 物理
作者
Yinlin Ji,Wei Wu,Zhihong Zhao
出处
期刊:Engineering Geology [Elsevier]
卷期号:262: 105352-105352 被引量:77
标识
DOI:10.1016/j.enggeo.2019.105352
摘要

Hundreds of anthropogenic earthquakes have recently occurred worldwide due to underground space creation and energy extraction. The mechanism behind the human-induced geohazards is most likely associated with the reduction of normal stress on pre-existing fractures and faults. This study reports a series of laboratory experiments to investigate the mechanism of unloading-induced fracture activation, and proposes a simple approach to predict the maximum seismic moment for a critically stressed fracture. The unloading-driven shear test results exhibit that the unloading process induces the stress states of the sawcut and natural fractures to approach the Mohr-Coulomb failure envelope, and the normal stress unloading rate influences the peak slip rate. The fracture instability is dependent on the relationship between the stiffness of the system and the slip weakening rate of the fracture, and the shear dilation mainly occurs after the fracture activation. The test results also show that the critical shear stress of the sawcut fracture during the unloading-driven shear test is approximately equal to the residual shear strength after the displacement-driven fracture slip. This relationship inspires us to develop a new approach to estimate the maximum seismic moment. Our data demonstrate that the maximum seismic moments for both the fractures obtained from the unloading-driven shear tests are all below the upper limit lines, indicating that the proposed approach is reasonable. The uncertainty analysis shows that the accurate estimation of fault size can improve the maximum seismic moment prediction.
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
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
小小爱吃百香果完成签到,获得积分20
刚刚
薪炭林应助空心采纳,获得30
刚刚
宫宛儿完成签到,获得积分10
刚刚
smile发布了新的文献求助10
1秒前
永远少年发布了新的文献求助10
2秒前
跳跃完成签到,获得积分20
2秒前
2秒前
3秒前
3秒前
3秒前
sansan发布了新的文献求助10
3秒前
tassssadar完成签到,获得积分10
4秒前
4秒前
通辽小判官完成签到,获得积分10
5秒前
曲蔚然发布了新的文献求助30
6秒前
liuxl完成签到,获得积分10
6秒前
长隆完成签到 ,获得积分10
8秒前
8秒前
852应助YukiXu采纳,获得10
9秒前
9秒前
jijizz发布了新的文献求助10
9秒前
yyyyy发布了新的文献求助10
9秒前
zhappy发布了新的文献求助20
9秒前
10秒前
稳重的八宝粥完成签到 ,获得积分10
11秒前
11秒前
xx关闭了xx文献求助
11秒前
12秒前
14秒前
15秒前
su发布了新的文献求助10
15秒前
小马甲应助鳗鱼灵寒采纳,获得10
15秒前
calbee发布了新的文献求助10
16秒前
lalala发布了新的文献求助10
17秒前
17秒前
张辰12536完成签到,获得积分10
18秒前
19秒前
程琳发布了新的文献求助10
19秒前
19秒前
20秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808