Landslide dynamics with energy loss in internal shearing

剪切(物理) 机械 消散 山崩 内能 粒状材料 岩土工程 动力摩擦 地质学 经典力学 材料科学 物理 量子力学 热力学 复合材料
作者
Shiva P. Pudasaini,Martin Mergili
出处
期刊:Landslides [Springer Science+Business Media]
标识
DOI:10.1007/s10346-024-02424-4
摘要

Abstract As a crucial physical parameter, inter-particle friction plays a dominant role in the deformation, motion, and spreading of granular landslides. However, existing functional landslide models ignore the frictional energy loss in the internal shearing of granular material. Here, we propose a novel dynamical model that includes the frictional energy loss in internal shearing during the mass transport, making it a more complete landslide dynamical equation, for the first time, capable of describing the frictional energy dissipation. It includes a dimensionless intrinsic quantity describing the strength of frictional energy loss in internal shearing, internal friction angle, and dynamical quantities: the force induced by free-surface gradient, local extensional-compressional mode, slip velocity along the granular surface, and material weight. We access the model performance by presenting contrasting scenarios. Simulation results, including the 1903 Frank Slide, demonstrate the importance of frictional energy loss in actively controlling the deformation, motion, and deposition of sheared granular flows. Profiles and geometries are fundamentally different without and with considering frictional energy loss in granular shearing. Deposition structures appear more realistic for simulations with frictional energy loss, in line with observation, revealing the importance of frictional energy loss in internal shearing. This demonstrates, classical models, based solely on the basal Coulomb friction, cannot properly control the landslide dynamics. In contrast, the new model more accurately simulates the landslide propagation, run-out, spreading, and its fan morphology. This suggests the need to complement existing mass flow models with the new frictional energy loss principle in granular shearing in physically legitimately controlling the mass spreading, motion, and deposition.

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
XPC完成签到,获得积分10
刚刚
zhiweny完成签到 ,获得积分10
1秒前
果果糖YLJ完成签到,获得积分10
1秒前
称心山柏发布了新的文献求助10
1秒前
Kalmoz完成签到,获得积分10
1秒前
欣慰元蝶发布了新的文献求助10
1秒前
KKWeng完成签到,获得积分10
1秒前
咎如天完成签到,获得积分10
1秒前
2秒前
3秒前
小超人到海底捉虫完成签到,获得积分10
3秒前
痴心的蚌123完成签到,获得积分10
3秒前
迅速的安卉完成签到,获得积分10
4秒前
4秒前
Ava应助如沐春风采纳,获得10
5秒前
5秒前
lyb完成签到,获得积分10
6秒前
Ysk完成签到 ,获得积分10
6秒前
6秒前
给好评完成签到,获得积分10
6秒前
季一发布了新的文献求助10
7秒前
小蘑菇应助yyc采纳,获得10
8秒前
9秒前
9秒前
诗槐完成签到,获得积分10
9秒前
AX发布了新的文献求助10
9秒前
9秒前
香蕉觅云应助欢喜海采纳,获得10
10秒前
不管啦完成签到,获得积分20
10秒前
10秒前
DavidXu完成签到,获得积分10
11秒前
11秒前
无极微光应助wys2493采纳,获得20
12秒前
12秒前
晏晏完成签到 ,获得积分10
13秒前
欣喜石头发布了新的文献求助10
13秒前
gebiheishuini完成签到 ,获得积分10
13秒前
13秒前
千与千寻发布了新的文献求助10
14秒前
清脆的一一完成签到,获得积分10
14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
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Free parameter models in liquid scintillation counting 1000
Signals, Systems, and Signal Processing 610
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 6331344
求助须知:如何正确求助?哪些是违规求助? 8147820
关于积分的说明 17098218
捐赠科研通 5387043
什么是DOI,文献DOI怎么找? 2856014
邀请新用户注册赠送积分活动 1833484
关于科研通互助平台的介绍 1684825