Numerical modelling of rheological properties of landslide debris

流变学 滑坡分类 自然灾害 剪切(地质) 直剪试验 边坡稳定性
作者
Arunava Ray,Harshal Verma,Ashutosh Kumar Bharati,Rajesh Rai,Radhakanta Koner,Trilok Singh
出处
期刊:Natural Hazards [Springer Science+Business Media]
卷期号:: 1-25 被引量:1
标识
DOI:10.1007/s11069-021-05038-4
摘要

Debris flow has caused severe human casualties and economic losses in landslide-prone areas around the globe. A comprehensive understanding of the morphology and deposition mechanisms of debris flows is crucial to delineate the extent of a debris flow hazard. However, due to inherent complex field topography and varying compositions of the flowing debris, coupled with a lack of fundamental understanding about the factors controlling the geomaterial flow, interparticle interactions and its final settlement resulted in a limited understanding of the flow behaviour of the landslide debris. In this study, a physical model was set up in the laboratory to simulate and calibrate the debris flow using PFC, a distinct element modelling-based software. After calibration, a case study of the Varunavat landslide was taken to validate the developed numerical model. Following validation with an acceptable level of confidence, several models were generated to evaluate the effect of slope height, slope angle, slope profile, and grain size distribution of the dislodged geomaterial in the rheological properties of debris flow. Both qualitative and quantitative analysis of the landslide debris flow was performed. Finally, the utility of retaining wall and their effect on debris flow is also studied with different retaining wall positions along the slope surface.

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
阿啵呲嘚完成签到,获得积分10
1秒前
如意的匪发布了新的文献求助10
3秒前
5秒前
Hello应助章鱼采纳,获得10
6秒前
乐观秋荷应助茉莉花采纳,获得10
6秒前
7秒前
8秒前
斗罗大陆完成签到,获得积分10
8秒前
8秒前
芝士雪豹完成签到,获得积分10
8秒前
完美世界应助愤怒的梦曼采纳,获得10
9秒前
隐形曼青应助旖旎的晨曦采纳,获得30
9秒前
11秒前
NexusExplorer应助ssjsjn采纳,获得10
12秒前
Tonsil01发布了新的文献求助10
13秒前
Jason发布了新的文献求助10
14秒前
14秒前
隐形曼青应助mumujigumi采纳,获得10
15秒前
lium发布了新的文献求助10
15秒前
Akim应助今天看文献了吗采纳,获得10
16秒前
HH关闭了HH文献求助
17秒前
kbcbwb2002完成签到,获得积分0
17秒前
18秒前
科研通AI6.1应助畔畔采纳,获得100
21秒前
22秒前
冬无青山完成签到,获得积分10
23秒前
23秒前
整齐的中道完成签到,获得积分10
23秒前
幸福傲白发布了新的文献求助10
25秒前
齐欢发布了新的社区帖子
25秒前
无花果应助Singularity采纳,获得10
26秒前
kingsley发布了新的文献求助30
27秒前
所所应助jakeey采纳,获得10
27秒前
wylwyl完成签到 ,获得积分10
28秒前
28秒前
mxy126354发布了新的文献求助10
29秒前
30秒前
30秒前
30秒前
30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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354742
求助须知:如何正确求助?哪些是违规求助? 8169924
关于积分的说明 17198263
捐赠科研通 5410744
什么是DOI,文献DOI怎么找? 2864128
邀请新用户注册赠送积分活动 1841629
关于科研通互助平台的介绍 1690086