Linking Dynamic Parameters and Seismic Signals of Granular Flows in Different Flow Regimes: An Experimental Assessment of Effects of Particle Composition

粒子(生态学) 流量(数学) 机械 颗粒流 作文(语言) 泥石流 环境科学 地质学 岩土工程 材料科学 统计物理学 物理 离散元法 哲学 碎片 海洋学 语言学
作者
Xiaolei Zhou,Yifei Cui,Zhen Zhang,Lingling Ye,Jun Fang
出处
期刊:Journal Of Geophysical Research: Earth Surface [Wiley]
卷期号:130 (10) 被引量:1
标识
DOI:10.1029/2025jf008354
摘要

Abstract Geophysical flows, governed by particle composition and channel slope, exhibit distinct kinematic properties and seismic responses under different flow regimes. This study examines the impact of particle composition on granular flow dynamics and seismic signal generation under various flow regimes using flume experiments under dam break conditions. By varying particle composition and flume inclination angles, we investigate the kinematic properties, seismic responses, and the relationship between flow regimes and seismic signal characteristics. The results reveal that particle composition significantly affects flow dynamics, with peak velocity exhibiting a non‐monotonic dependence on particle size, and an optimal proportion of large particles maximizing mobility. Seismic signals, including peak amplitude and power spectral density, increase with larger particle sizes and steeper inclination angles, indicating a strong coupling between flow dynamics and seismic responses. A two‐segment positive correlation between seismic signals and collisional stress highlights the role of flow regimes, with particle‐ground impacts during intense collisional interactions dominating seismic signal generation, we then introduce a dimensionless amplitude parameter and establish a unified correlation with the Savage number across flow regimes. This study advances the understanding of granular flow dynamics and seismic signatures, providing a framework for interpreting seismic data in debris flow monitoring and hazard assessment. Future work to explore the interplay of frictional and collisional mechanisms to refine models of granular flow behavior and physical interpretation of seismic data is warranted.
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
1秒前
酷波er应助马丝雨采纳,获得10
1秒前
2秒前
czy发布了新的文献求助10
2秒前
烟花应助2hrs采纳,获得10
3秒前
科研之路完成签到,获得积分10
3秒前
4秒前
4秒前
vxvsd完成签到,获得积分10
4秒前
6秒前
6秒前
6秒前
nina完成签到,获得积分10
6秒前
Hello应助科研通管家采纳,获得10
7秒前
WANG完成签到,获得积分10
7秒前
尊敬元芹发布了新的文献求助10
7秒前
大个应助科研通管家采纳,获得10
7秒前
Singularity应助科研通管家采纳,获得10
7秒前
小蘑菇应助科研通管家采纳,获得10
7秒前
v0id应助科研通管家采纳,获得10
7秒前
Singularity应助科研通管家采纳,获得10
8秒前
一一应助科研通管家采纳,获得10
8秒前
小马甲应助科研通管家采纳,获得10
8秒前
6666666666完成签到 ,获得积分10
8秒前
在水一方应助科研通管家采纳,获得10
8秒前
8秒前
CodeCraft应助科研通管家采纳,获得10
8秒前
Owen应助科研通管家采纳,获得10
8秒前
Akim应助科研通管家采纳,获得50
8秒前
8秒前
慕青应助科研通管家采纳,获得10
9秒前
斯文败类应助科研通管家采纳,获得10
9秒前
orixero应助科研通管家采纳,获得10
9秒前
lssj发布了新的文献求助10
9秒前
咎如天发布了新的文献求助10
9秒前
molihuakai应助科研通管家采纳,获得10
9秒前
vikon完成签到,获得积分10
9秒前
JamesPei应助科研通管家采纳,获得10
9秒前
秋风应助科研通管家采纳,获得10
9秒前
wanci应助科研通管家采纳,获得10
9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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7773945
求助须知:如何正确求助?哪些是违规求助? 9315902
关于积分的说明 20348368
捐赠科研通 7359650
什么是DOI,文献DOI怎么找? 3317323
关于科研通互助平台的介绍 2465859
邀请新用户注册赠送积分活动 2332545