Seismic Stability Analysis of Saturated and Unsaturated Soil Slopes Using Permanent Displacement

Huang, Shuai; Peng, Yanju

doi:10.1155/2018/1786392

Cited by 5 publications

(3 citation statements)

References 10 publications

(10 reference statements)

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“…Wang and Khan [2] found correlations between various soil and slope parameters using the SLIDE software to forecast slope stability assessment. Zhou et al [3] investigate slope prediction using logistic regression and conclude that it is the best predictive approach for slope stability prediction.Huang and Peng [4] conducted a seismic slope stability analysis for saturated and unsaturated soil and found that dynamic pore water pressure influence is significant towards stability. A soil slope was examined using limit equilibrium techniques by Choudhury et al [5].…”

Section: Introductionmentioning

confidence: 99%

Parametric Study on the Stability of Slopes Subjected to Earthquake Forces

Boruah,

Chakraborty

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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For thousands of years, engineers have been grappling with slope instability as an issue in geotechnical and geological engineering. Earthquake loading has a great impact in slope stability. The present study is to investigate the impact of various soil properties and slope geometry on FOS in the presence as well as in the absence of seismic loading. Here, pseudo-static methods are used to analyses seismic slope stability under earthquake loading. From parametric studies, present work concluded that the FOS values start to decline drastically with earthquake impact. Moreover, various prediction models have been developed using Multiple Linear Regression (MLR) & Multiple Non-Linear Regression (MNLR) considering all the data. The input data of slope stability estimation consists of the values of soil parameter, slope parameter and earthquake loading parameters. As an output, MLR and MNLR predict FOS values as a function of these parameters. The model is then checked by comparing the results to another ten actual situations. It was found that the predicted FOS using MNLR gives satisfactory results.

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Section: Introductionmentioning

confidence: 99%

Parametric Study on the Stability of Slopes Subjected to Earthquake Forces

Boruah,

Chakraborty

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…The research on geotechnical related problems through different methods is also more and more extensive [18]. Therefore, the shaking table test has become a tool for identifying and quantifying the failure mechanism of pile foundations under the action of earthquakes [19][20][21][22]. Motamed [23] supported that mitigating the sheet pile of the floating type or fixed-end type and anchoring the quay wall to a new pile row could provide an adequate seismic performance by conducting a series of shaking table model tests.…”

Section: Introductionmentioning

confidence: 99%

Study on the Dynamic Response Characteristics and p–y Curve of Straight and Inclined Pile Groups in Saturated Sands

Jian

Chen

et al. 2022

Applied Sciences

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This paper is based on a shaking table test of 2 × 2 straight pile groups and 2 × 2 inclined pile groups in non-liquefied sand and saturated sand with different thicknesses. Under the sine wave with a certain peak acceleration and frequency, the lateral dynamic response characteristics, the distribution law of the maximum bending moment envelope diagram, and the p–y curve of the straight and inclined pile groups are studied. The results show that the bending moment of the straight pile group is 3~4 times that of the inclined pile group at the bottom section of the pile in the 300 mm saturated sand. When the thickness of the saturated sand increases to 380 mm, the maximum bending moment of the straight pile group is 6~7 times that of the inclined pile group at the bottom section of the pile. Through the comparison of indicators, it shows that the inclined pile group can have better bending resistance when subjected to the same lateral dynamic load.

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“…As the earthquake-stricken areas are mountainous and alpine with comparatively low population density, the number of casualties and collapsed buildings is not as huge as expected. However, the earthquake triggered numerous landslides, leading to great damage to roads, because of the geological structure as well as the impacts of the Wenchuan earthquake (MS 8.0, 2008) and Lushan earthquake (7.0 Ms 7.0, 2013) in Sichuan [1][2][3][4][5][6][7][8][9][10][11][12]. Quickly identifying the spatial distribution of landslides and estimating road capacity can be of great importance for the access of rescue teams and subsequent quake-relief efforts.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Landslides and Road Capacity after August 8, 2017, MS7.0 Jiuzhaigou Earthquake Using High‐Resolution Remote Sensing Images

Zhu

et al. 2020

Advances in Civil Engineering

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On 8 August 2017, Jiuzhaigou earthquake, magnitude 7.0, hit northern Sichuan, China. As the earthquake-stricken area is located in the mountainous region with forest and low residential density, the main damage is to vegetation and roads by earthquake-triggered landslides. In this study, the core area of Jiuzhaigou natural reserve, one of the highest seismic intensity zones, is selected. The landslides are extracted by examining vegetation changes from the preearthquake and postearthquake images using the Normalized Difference Vegetation Index (NDVI) and are verified by slope. As most road damage in the mountainous region could be attributed to the landslides nearby, the impacts of landslide on road are studied based on spatial analysis and are used to infer occluded road damage. Then, a knowledge-based method for postearthquake road detection and road capacity assessment from preearthquake road data and postearthquake high-resolution remote sensing imagery is proposed, as well as the quantitative road capacity assessment indicators to classify the road grades. This method is evaluated using the Beijing-2 (BJ-2) satellite images over the study area acquired on 28 April and 9 August. Compared with visual interpretation results, the extraction accuracy reached 90% for landslides and 85% for postearthquake roads, indicating that the approaches are effective and promising for quick response to devastating earthquake in similar circumstances.

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Seismic Stability Analysis of Saturated and Unsaturated Soil Slopes Using Permanent Displacement

Cited by 5 publications

References 10 publications

Parametric Study on the Stability of Slopes Subjected to Earthquake Forces

Parametric Study on the Stability of Slopes Subjected to Earthquake Forces

Study on the Dynamic Response Characteristics and p–y Curve of Straight and Inclined Pile Groups in Saturated Sands

Estimation of Landslides and Road Capacity after August 8, 2017, MS7.0 Jiuzhaigou Earthquake Using High‐Resolution Remote Sensing Images

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