Scaling and design of landslide and debris-flow experiments

泥石流 山崩 碎片 缩放比例 地质学 凝聚力(化学) 机械 岩土工程 地貌学 几何学 物理 数学 量子力学 海洋学
作者
Richard M. Iverson
出处
期刊:Geomorphology [Elsevier]
卷期号:244: 9-20 被引量:298
标识
DOI:10.1016/j.geomorph.2015.02.033
摘要

Scaling plays a crucial role in designing experiments aimed at understanding the behavior of landslides, debris flows, and other geomorphic phenomena involving grain-fluid mixtures. Scaling can be addressed by using dimensional analysis or – more rigorously – by normalizing differential equations that describe the evolving dynamics of the system. Both of these approaches show that, relative to full-scale natural events, miniaturized landslides and debris flows exhibit disproportionately large effects of viscous shear resistance and cohesion as well as disproportionately small effects of excess pore-fluid pressure that is generated by debris dilation or contraction. This behavioral divergence grows in proportion to H3, where H is the thickness of a moving mass. Therefore, to maximize geomorphological relevance, experiments with wet landslides and debris flows must be conducted at the largest feasible scales. Another important consideration is that, unlike stream flows, landslides and debris flows accelerate from statically balanced initial states. Thus, no characteristic macroscopic velocity exists to guide experiment scaling and design. On the other hand, macroscopic gravity-driven motion of landslides and debris flows evolves over a characteristic time scale (L/g)1/2, where g is the magnitude of gravitational acceleration and L is the characteristic length of the moving mass. Grain-scale stress generation within the mass occurs on a shorter time scale, H/(gL)1/2, which is inversely proportional to the depth-averaged material shear rate. A separation of these two time scales exists if the criterion H/L < < 1 is satisfied, as is commonly the case. This time scale separation indicates that steady-state experiments can be used to study some details of landslide and debris-flow behavior but cannot be used to study macroscopic landslide or debris-flow dynamics.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
皮卡丘发布了新的文献求助20
刚刚
星辰大海应助佳佳采纳,获得10
刚刚
puhhh完成签到,获得积分10
1秒前
雯欣发布了新的文献求助20
1秒前
CodeCraft应助Nini1203采纳,获得30
2秒前
科研張应助pasdzxcfvgb采纳,获得20
2秒前
水牛完成签到,获得积分10
3秒前
4秒前
5秒前
所所应助橘子哥采纳,获得10
5秒前
6秒前
6秒前
SciGPT应助余歌采纳,获得30
6秒前
7秒前
馒头发布了新的文献求助10
8秒前
CharlseFan发布了新的文献求助10
8秒前
9秒前
10秒前
星河qaq发布了新的文献求助10
10秒前
10秒前
钮祜禄萱发布了新的文献求助10
10秒前
lx完成签到,获得积分10
11秒前
12秒前
佳佳发布了新的文献求助10
12秒前
12秒前
fishss完成签到,获得积分10
13秒前
CipherSage应助研友_nV2pkn采纳,获得10
14秒前
14秒前
852应助陶醉苠采纳,获得10
14秒前
15秒前
雪芜发布了新的文献求助10
16秒前
16秒前
sakuraroad发布了新的文献求助10
16秒前
16秒前
oooii发布了新的文献求助10
16秒前
只会一点点发布了新的文献求助150
16秒前
ting完成签到,获得积分10
17秒前
leo发布了新的文献求助10
17秒前
Yziii应助kkkk采纳,获得20
18秒前
18秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3124076
求助须知:如何正确求助?哪些是违规求助? 2774440
关于积分的说明 7722701
捐赠科研通 2430008
什么是DOI,文献DOI怎么找? 1290873
科研通“疑难数据库(出版商)”最低求助积分说明 621960
版权声明 600283