Monitoring of model slope failure tests using Amplitude Domain Reflectometry and Tensiometer methods

2009 ◽  
Author(s):  
S Shimobe ◽  
N Ujihira
Keyword(s):  
Slope Failure ◽  
Model Slope

Type of Slope Failure Identified from Pore Water Pressure and Moisture Content Measurements

2015 ◽  
Vol 744-746 ◽  
pp. 690-694
Author(s):  
Muhammad Rehan Hakro ◽  
Indra Sati Hamonangan Harahap
Keyword(s):  
Moisture Content ◽  
Pore Pressure ◽  
Slope Failure ◽  
Pore Water Pressure ◽  
Water Pressure ◽  
Failure Process ◽  
Small Scale ◽  
Content Increase ◽  
Sudden Increase ◽  
Model Slope

Rainfall-induced landslides occur in many parts of the world and causing a lot of the damages. For effective prediction of rainfall-induced landslides the comprehensive understanding of the failure process is necessary. Under different soil and hydrological conditions experiments were conducted to investigate and clarify the mechanism of slope failure. The failure in model slope was induced by sprinkling the rainfall on slope composed of sandy soil in small flume. Series of tests were conducted in small scale flume to better understand the failure process in sandy slopes. The moisture content was measured with advanced Imko TDR (Time Domain Reflectrometry) moisture sensors in addition to measurements of pore pressure with piezometers. The moisture content increase rapidly to reach the maximum possible water content in case of higher intensity of rainfall, and higher intensity of the rainfall causes higher erosion as compared to smaller intensity of the rainfall. The controlling factor for rainfall-induced flowslides was density of the slope, rather than intensity of the rainfall and during the flowslide the sudden increase in pore pressure was observed. Higher pore pressure was observed at the toe of the slope as compared to upper part of the slope.

scholarly journals A Study on the Slope Failure Monitoring of a Model Slope by the Application of a Displacement Sensor

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Sungyong Park ◽  
Hyuntaek Lim ◽  
Bibek Tamang ◽  
Jihuan Jin ◽  
Seungjoo Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Slope Failure ◽  
Early Warning Systems ◽  
Displacement Sensor ◽  
Scale Model ◽  
Economic Losses ◽  
Real Time Monitoring ◽  
Landslide Occurrence ◽  
Model Slope

Many causalities and economic losses are caused by natural disasters, such as landslides and slope failures, every year. This suggests that there is a need for an early warning system to mitigate casualties and economic losses. Most of the studies on early warning systems have been carried out by predicting landslide-prone areas, but studies related to the prediction of landslide occurrence time points by the real-time monitoring of slope displacement are still insufficient. In this study, a displacement sensor and an Internet of Things (IoT) monitoring system were combined together, to monitor slope failure through cutting experiments of a real-scale model slope. Real-time monitoring of the slope movement was performed simultaneously via a low-cost, efficient, and easy-to-use IoT system. Based on the obtained displacement data, an inverse displacement analysis was performed. Finally, a slope instrumentation standard was proposed based on the slope of the inverse displacement for early evacuation before slope failure.

scholarly journals Behavior analysis by model slope experiment of artificial rainfall

2015 ◽  
Vol 3 (6) ◽  
pp. 4159-4187
Author(s):  
M. C. Park
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Pore Water ◽  
Slope Failure ◽  
Pore Water Pressure ◽  
Water Pressure ◽  
Matric Suction ◽  
Slope Stability Analysis ◽  
Model Slope ◽  
Rainfall Seepage

Abstract. In this study, we performed a model slope experiment with rainfall seepage, and the results were compared and verified with the unsaturated slope stability analysis method. In the model slope experiment, we measured the changes in water content and matric suction due to rainfall seepage, and determined the time at which the slope failure occurred and the shape of the failure. In addition, we compared and verified the changes in the factor of safety and the shape of the failure surface, which was calculated from the unsaturated slope stability analysis with the model experiment. From the results of experiment and analysis, it is concluded that the unsaturated slope stability analysis can be used to accurately analyze and predict rainfall-induced slope failure. It is also concluded that in seepage analysis, setting the initial conditions and boundary conditions is very important. If engineers will use the measured pore water pressure or matric suction, the accuracy of analysis can be enhanced. The real-time monitoring system of pore water pressure or matric suction can be used as a warning of rainfall-induced slope failure.

scholarly journals Development of the surface displacement velocity in a full-scale loamy model slope under multistep excavation

2021 ◽  
Author(s):  
Katsuo Sasahara ◽  
Nobutaka Hiraoka ◽  
Naotaka Kikkawa ◽  
Kazuya Itoh
Keyword(s):  
Creep Deformation ◽  
Large Scale ◽  
Slope Failure ◽  
Failure Time ◽  
Surface Displacement ◽  
Displacement Velocity ◽  
Rate Of Increase ◽  
Slope Excavation ◽  
Model Slope ◽  
The Relationship

AbstractMultistep excavations were implemented at the toe of a large-scale slope model, and the surface displacements in the slope were measured to examine the validity of the relationship between the velocity and acceleration proposed by Fukuzono for excavated slopes. The surface displacement increased both during and after slope excavation, among which the latter was due to creep deformation under a constant stress. The rate of increase in the surface displacement was initially high and then decreased to zero during creep deformation after the excavation without slope failure. However, the surface displacement exhibited an accelerated increase during creep deformation after the final excavation prior to slope failure; the surface displacement increased with small fluctuations even before slope failure occurred. The surface displacement velocity and acceleration also fluctuated notably due to variations in the surface displacement. The trendlines for the derived relationships between the velocity and acceleration were in good general agreement with the measured data at certain locations in the model slope. These relationships were unique at different locations on the slope, while the inclination of the relationship trendline suddenly decreased just prior to slope failure. The steeper trendlines predicted an earlier failure time if the displacement was large and close to the failure condition, whereas they resulted in worse predictions if the displacement was small and far from causing slope failure according to the prediction method proposed by Fukuzono.

scholarly journals Instrumented Model Slope Failure due to Water Seepage

2004 ◽  
Vol 26 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Rolando P. Orense ◽  
Suguru Shimoma ◽  
Kengo Maeda ◽  
Ikuo Towhata
Keyword(s):  
Slope Failure ◽  
Water Seepage ◽  
Model Slope

scholarly journals A device for rainfall simulation in geotechnical centrifuges

2021 ◽  
Author(s):  
Shun Wang ◽  
Gregor Idinger
Keyword(s):  
Slope Failure ◽  
Rainfall Intensity ◽  
Rainfall Simulation ◽  
Slope Surface ◽  
Centrifuge Modelling ◽  
Rainfall Events ◽  
Torrential Rainfall ◽  
Slope Instabilities ◽  
Geotechnical Centrifuges ◽  
Model Slope

AbstractRainfall-induced slope instabilities are ubiquitous in nature, but simulation of this type of hazards with centrifuge modelling still poses difficulties. In this paper, we introduce a rainfall device for initiating slope failure in a medium-sized centrifuge. This rainfall system is simple, robust and affordable. An array of perforated hoses is placed close above the model slope surface to generate the raindrops. The rainfall intensity depends on the centrifuge acceleration and the flow rate of the water supply, which is controlled by the size and number of the tiny pinholes in the hose walls. The rainfall intensities that are tested range from 2.5–30 mm/h, covering the intensity range of moderate, heavy and torrential rainfall events. Our model test with rainfall-induced slope failure shows that this system is capable of generating relatively uniform rainfall of wide intensities and leads to various patterns of slope failure.

scholarly journals Behavior analysis by model slope experiment of artificial rainfall

2016 ◽  
Vol 16 (3) ◽  
pp. 789-800 ◽  
Author(s):  
Min Cheol Park
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Slope Failure ◽  
Initial Conditions ◽  
Matric Suction ◽  
Slope Stability Analysis ◽  
Seepage Analysis ◽  
Porewater Pressure ◽  
Model Slope ◽  
Rainfall Seepage

Abstract. In this study, we performed a model slope experiment with rainfall seepage, and the results were compared and verified with the unsaturated slope stability analysis method. In the model slope experiment, we measured the changes in water content and matric suction due to rainfall seepage, and determined the time at which the slope failure occurred and the shape of the failure. In addition, we compared and verified the changes in the factor of safety and the shape of the failure surface, which was calculated from the unsaturated slope stability analysis with the model experiment. From the results of experiment and analysis, it is concluded that the unsaturated slope stability analysis can be used to accurately analyze and predict rainfall-induced slope failure. It is also concluded that in seepage analysis, setting the initial conditions and boundary conditions is very important. If engineers will use the measured porewater pressure or matric suction, the accuracy of analysis can be enhanced. The real-time monitoring system of porewater pressure or matric suction can be used as a warning of rainfall-induced slope failure.

Fabrication of a Slope Failure Prediction Sensor using Miniaturized EC Sensor

2013 ◽  
Vol 133 (9) ◽  
pp. 278-283 ◽  
Author(s):  
Masato Futagawa ◽  
Mitsuru Komatsu ◽  
Hikofumi Suzuki ◽  
Yuji Takeshita ◽  
Yasushi Fuwa ◽  
...  
Keyword(s):  
Slope Failure ◽  
Failure Prediction
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