2021
DOI: 10.3389/feart.2021.764393
|View full text |Cite
|
Sign up to set email alerts
|

An Investigation of Rainfall-Induced Landslides From the Pre-Failure Stage to the Post-Failure Stage Using the Material Point Method

Abstract: The kinematic behavior of rainfall-induced landslides from the pre-failure stage to post-failure stage contains important information for risk assessment and management. Because a complex relationship exists between rainfall conditions, pore water pressure, soil strength, and movement rates, a numerical model is the most efficient way to investigate the behavior of rainfall-induced landslides. In this study, the material point method (MPM) is used to investigate the dynamic behavior of landslides. First, the r… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 28 publications
0
6
0
Order By: Relevance
“…Because of rainfall infiltration, various types of slope stability show failure phenomena, such as erosion, and can cause changes, such as different mass flow movements, depending on the slope morphology, characteristic soil curves, and the shear strength involved. The complicated linkages between rainfall circumstances, pore water pressure, soil strength, safety variables, and movement rates have been revealed (Lee et al, 2021).…”
Section: Rainfallmentioning
confidence: 99%
“…Because of rainfall infiltration, various types of slope stability show failure phenomena, such as erosion, and can cause changes, such as different mass flow movements, depending on the slope morphology, characteristic soil curves, and the shear strength involved. The complicated linkages between rainfall circumstances, pore water pressure, soil strength, safety variables, and movement rates have been revealed (Lee et al, 2021).…”
Section: Rainfallmentioning
confidence: 99%
“…Since the temporal and spatial resolutions of displacement and moving direction are rough and rare, numerical simulation (i.e., MPM simulation) could be a feasible solution. MPM simulation has been widely applied in simulating landslide behavior with significant advancements, accurately capturing the behavior of slope failure and the internal deformation of the slope [6][7][8][9]. MPM simulation can be applied to simulate the landslide behavior and provide the elaborate ground surface data evolution simultaneously, which can be used to evaluate the performance of Carter method.…”
Section: Introductionmentioning
confidence: 99%
“…Then, the increase in pore water pressure is proportional to the rainfall amount until the cumulative rainfall exceeds the maximum water storage capacity of the soil layer [19]. Under excess rainfall, large and fast-rising pore water pressure may be observed [6,7,13,[21][22][23][24]. If interstitial air can leak out of the soil layer freely, then high-intensity rainfall leads to the development of a wetting front with fully saturated conditions, and a suddenly ascending pore water pressure is triggered when the wetting front reaches the phreatic surface or impermeable layer [6,13,21,24].…”
Section: Introductionmentioning
confidence: 99%
“…Under excess rainfall, large and fast-rising pore water pressure may be observed [6,7,13,[21][22][23][24]. If interstitial air can leak out of the soil layer freely, then high-intensity rainfall leads to the development of a wetting front with fully saturated conditions, and a suddenly ascending pore water pressure is triggered when the wetting front reaches the phreatic surface or impermeable layer [6,13,21,24]. If the interstitial air is entrapped by the infiltrated water, then an increase in pore water pressure is caused by the compression of air before the wetting front reaches the phreatic surface or impermeable layer; this phenomenon is the well-known Lisse effect [7,22,23].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation