Stability analysis of unsaturated soil slopes under random rainfall patterns

Tang, Gaopeng; Huang, Jinsong; Sheng, Daichao; Sloan, Scott W.

doi:10.1016/j.enggeo.2018.09.013

Cited by 81 publications

(24 citation statements)

References 32 publications

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“…The effects of distributions of (u a -u w ) on F smin varies accordingly to the distributions. For Distribution I and II with consideration of (u a -u w ), the reduction in F smin is due to the decrease of distributed depth of (u a -u w ) (shown in Figure 1) and the increase of the pore-water pressure (Equations (13) and (16)) with the increase of groundwater level. However, the decrease of F smin for Distribution III regardless of (u a -u w ) is mainly attributed to the increase of the pore-water pressure.…”

Section: Discussion On the Effect Of Distribution Of (U A -U W ) On Fmentioning

confidence: 99%

“…Then, the shear strength of soil will drop and the stability of the soil slope will in turn deteriorate. Actually, the effect of rainfall on stability of unsaturated-soil slope is dependent on many of factors (rainfall amount, average intensity, duration, pattern, vegetation) [16,19,41]. For more It should be noted that the stability of coastal-embankment slope with the unsaturated and multilayered feature during rainfall were greatly different from those of dry or saturated soils and should be investigated by a simple and effective approach in consideration of effect of matric suction distributions and underground water levels.…”

Section: A Simple Approach To Simulate Rainfall Infiltrationmentioning

confidence: 99%

“…Then, the shear strength of soil will drop and the stability of the soil slope will in turn deteriorate. Actually, the effect of rainfall on stability of unsaturated-soil slope is dependent on many of factors (rainfall amount, average intensity, duration, pattern, vegetation) [16,19,41]. For more detailed investigations, it is necessary to address the soil-water profile with 1-D or 2-D infiltration model to address the effect of infiltration on unsaturated-soil slope's stability [42], which will make the problem become more complicated, laborious and computationally expensive [43].…”

Section: A Simple Approach To Simulate Rainfall Infiltrationmentioning

confidence: 99%

“…However, in practical coastal engineering, the coastal-embankment slope is always unsaturated and multilayered. Its stability suffers from huge challenges, especially during rainfall, which has proven to be the key factor linked to landslides [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Approach to Assess the Stability of Unsaturated Multilayered Coastal-Embankment Slope during Rainfall Infiltration

Zhu

Chen

Zhao

2019

JMSE

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This study aims to develop a simple but effective approach to investigate the stability of an unsaturated and multilayered coastal-embankment slope during the rainfall, in which a Random Search Algorithm (RSA) based on the random sampling idea of the Monte Carlo method was employed to obtain the most dangerous circular sliding surface, whereas the safety factor of the unsaturated slope was calculated by the modified Morgenstern–Price method. Firstly, two typical distributions of matric suction were illustrated and the associated methods for determining the strength parameters of unsaturated soil were developed. Based on this, the Morgenstern–Price method was further modified to calculate the safety factor, and RSA was adopted to locate the most dangerous sliding surface of the unsaturated multilayered coastal-embankment slope. Finally, the slope breaking process under rainfall infiltration was simulated through continuously searching the critical slip surfaces under different groundwater levels by RSA. The results indicated that the stability of the unsaturated embankment slope was gradually deteriorated with the increase of rainfall infiltration. It was also found that both of the distributions of the matrix suction (ua-uw) and the suction angle (φb) had significant effects on the safety factor of the embankment slope. Basically, linear distribution of (ua-uw) along the depth and linear relationship between φb and (ua-uw) should be adopted in assessing the stability of the unsaturated multilayered coastal-embankment slope.

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Section: Discussion On the Effect Of Distribution Of (U A -U W ) On Fmentioning

confidence: 99%

Section: A Simple Approach To Simulate Rainfall Infiltrationmentioning

confidence: 99%

“…Then, the shear strength of soil will drop and the stability of the soil slope will in turn deteriorate. Actually, the effect of rainfall on stability of unsaturated-soil slope is dependent on many of factors (rainfall amount, average intensity, duration, pattern, vegetation) [16,19,41]. For more detailed investigations, it is necessary to address the soil-water profile with 1-D or 2-D infiltration model to address the effect of infiltration on unsaturated-soil slope's stability [42], which will make the problem become more complicated, laborious and computationally expensive [43].…”

Section: A Simple Approach To Simulate Rainfall Infiltrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Approach to Assess the Stability of Unsaturated Multilayered Coastal-Embankment Slope during Rainfall Infiltration

Zhu

Chen

Zhao

2019

JMSE

View full text Add to dashboard Cite

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“…Soil layers of natural slides collectively refer to the unconsolidated substances that include weathered rocks, coarse fragments, and earth and sand. The pore water pressure increasing with rainfall reduces the effective stress of soil layers and the shearing strength, ultimately leading to collapse [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Development of Statistics-Based Estimation Model (SEM) for Landslide-Triggering Factors Using the Soil Physical Properties of the Landslide in Gneiss and Granite Areas of South Korea

Kim¹,

Kim²,

Lee³

et al. 2019

Preprint

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In South Korea, landslides are caused by localized heavy rainfall and typhoons, which often occur in the summer season at natural slopes in mountainous areas and artificial slopes in urban surroundings. Flow-type landslides frequently occur in mountainous areas. To evaluate flow-type landslides, it is essential to identify the physical characteristics of soil, giving focus to the soil on the top layers of various types of slope. This study conducts a survey and an analysis of the characteristics of landslides that occurred in the study area with different geological conditions of granite and gneiss. The characteristics of soil in the area and its surroundings that have or have not undergone landslides for every geological condition is also evaluated. Based on these characteristics and a statistics method, it extracts the triggering factors, permeability coefficients (k), and shearing strength with cohesion (c) and internal friction angel (φ) of soils that are highly related to landslides around weathered soil layers. As a result, the permeability coefficients show significant relevance with void ratio (e), the effective size of grains (D10), and uniformity coefficient (cu), while the shearing strength with the proportion of fine-grained soil (Fines), uniformity coefficient (cu), degree of saturation (S), dry weight density (rd), and void ratio (e). By obtaining this result, the study uses the regression analysis to suggest models to estimate the permeability coefficients and shearing strength. For the gneiss area, the statistics-based estimation model (SEM) is proposed as kgn = (1.488 × 10-02 × e) + (1.076 × D10) + (-1.629 × 10-04 × cu) - (1.893 × 10-02) for permeability coefficients; cgn = (-0.712 × Fines) + (-0.131 × cu) + 15.335 for cohesion; and φgn = (27.01 × rd) + (-12.594 × e) + 6.018 for internal frictional angle of soils. For the granite area, the statistics-based estimation model (SEM) is proposed as kgr = (8.281 × 10-03 × e) + (0.639 × D10) + (-2.766 × 10-05 × cu) - (9.907 × 10-03) for permeability coefficients; cgr = (-0.689 × Fines) + (-0.0744 × S) + 18.59 for cohesion; and φgr = (33.640 × rd) + (-0.875 × e) - 9.685 for internal frictional angle of soils. The use of statistics-based estimation models (SEMs) for landslide-triggering factors that trigger landslides will support the simple calculation of permeability coefficient and shearing strength (cohesion and internal frictional angle), only requiring information about the physical properties of soil at the natural slopes that have different geological features such as gneiss and granite areas.

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Fragility analysis of slopes exposed to seismic hazard employing surrogate modeling techniques

Cabanzo,

Tinoco,

Sousa

et al. 2023

ce papers

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Natural disasters may lead to failure of critical assets part of railway systems. Slope failure often results in major economic consequences. Due to the economic importance that railways systems have, it is pertinent to ensure good performance and long‐term. The objective of the present research is to propose tools that may allow obtaining the failure probability of soil slopes under a seismic event by employing surrogate models to ease the computational cost of considering the uncertainties associated with geotechnical and geometrical properties of a case study located in Portugal. The presented methodology and derived fragility curves, using peak ground acceleration (PGA) as the intensity measure (IM), can be used to assess slope performance under a seismic event for different safety levels, thus providing useful information for prioritizing assets and taking preventive actions to maintain the desired performance of the railway system.

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Stability analysis of unsaturated soil slopes under random rainfall patterns

Cited by 81 publications

References 32 publications

An Approach to Assess the Stability of Unsaturated Multilayered Coastal-Embankment Slope during Rainfall Infiltration

An Approach to Assess the Stability of Unsaturated Multilayered Coastal-Embankment Slope during Rainfall Infiltration

Development of Statistics-Based Estimation Model (SEM) for Landslide-Triggering Factors Using the Soil Physical Properties of the Landslide in Gneiss and Granite Areas of South Korea

Fragility analysis of slopes exposed to seismic hazard employing surrogate modeling techniques

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