Effect of soil hydraulic properties model on slope stability analysis based on strength reduction method

Mukhlisin, Muhammad; Baidillah, Marlin Ramadhan; Ibrahim, Aniza; Taha, Mohd Raihan

doi:10.1007/s12594-014-0087-1

Cited by 11 publications

(6 citation statements)

References 7 publications

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“…The infiltrated water causes an increase in soil water content and a loss in matric suction; then, the slope failure probability increases because of the decrease in the shear strength of the soil (Blight, 1997;Gens, 2010). The role of water infiltration in causing slope instability has been analyzed and reviewed in many scientific studies (Montgomery and Dietrich, 1994;Iverson, 2000;Mukhlisin et al, 2011;Arnone et al, 2011;Arnone et al, 2016a). Many studies on precipitation-induced slope instability are based on a closed-form mathematical evaluation model, calculating the FS.…”

Section: Probabilistic Slope Stability Estimationmentioning

confidence: 99%

“…The failure of the slope [i.e., FS≤1 in Eq. ( 1)] is strongly influenced by the increment of h resulting from the increment of θ; therefore, the accuracy on the acquired values of h and θ has significant effects on the FS analysis (Mukhlisin et al, 2011). Nevertheless, measuring the exact values still remains difficult because of the errors from the measurement procedure, the measurement equipment itself, and the uncertainties from the physical and chemical variability of the measurement environment (Bound et al, 2001).…”

Section: Probabilistic Slope Stability Estimationmentioning

confidence: 99%

“…On the other hand, precipitation data are relevant to SMC and EBS stability, but the sensors can be relatively easily replaced by being monitored on the ground surface. For this reason, many research works on slope stability estimation have been conducted by evaluating the soil water retention curve using meteorological data (Vanapalli et al, 1996;Mukhlisin et al, 2011;Sorbino and Nicotera, 2013;Pirone et al, 2015;Antinoro et al, 2017). Antinoro et al, (2017) have proposed that the selection of suitable SWRC models for each soil type is extremely important for application of slope stability analysis.…”

Section: Introductionmentioning

confidence: 99%

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Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Park,

Jeong,

Kwon

et al. 2024

Episodes

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An autoregressive long-and short-term memory (AR-LSTM) model was applied to develop a real-time probabilistic slope stability estimation model for the engineered barrier system (EBS) of a near surface radioactive waste disposal facility. The effectiveness of the developed model was verified using actual data acquired from South Korea, including precipitation, soil moisture contents, and inclinometer time-series data. The precipitation and the factor of safety (FS) ensemble results were used as the input and output variables of the AR-LSTM model, respectively, where the FS ensemble results were calculated by the Taylor model, integrating the Mualem-van Genuchten soil water retention model with consideration of the multivariate statistics on the hydrophysical properties of the soil. The estimation accuracy of the AR-LSTM model was reasonable by showing high correlation coefficient (0.9468) and low root mean squared error (0.0070) values between the actual and estimated FS values. Moreover, a significant correlation was observed between the estimated FS ensemble results and displacement events recorded by the inclinometer sensor. All the results suggest the effectiveness of the developed model for the long-term integrity assurance of the EBS.

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Section: Probabilistic Slope Stability Estimationmentioning

confidence: 99%

Section: Probabilistic Slope Stability Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Park,

Jeong,

Kwon

et al. 2024

Episodes

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“…The cohesion can be expressed as C =164.01e After a long heavy rain, the sliding surface has great water content and is even in saturation state, as shown in Figs 9-10, which greatly decreases slide-resistant parameters. The finite element strength reduction method [27,[49][50][51][52] is used to analyze according to slope stability. The calculated slope stability security coefficient is 0.83, which is less than 1.…”

Section: Parameters Of the Rubble Mass And Rockmentioning

confidence: 99%

Stability and Support Analysis of Coverage Rock-Soil Aggregate of Longhuguan Landslide

Sun

Fu-hua

2017

Pol. J. Environ. Stud.

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Landslides have an effect on lives and properties in many different countries [1], making control of the effects of natural hazards -especially landslides -an urgent problem [2]. Landslide can cause secondary damage, rockslide-dammed lakes [3][4], tsunamis [5][6][7], and block roads [8]. There are so many factors leading to landslides, such as hydrology [9], earthquakes, top loads, pedology, different layers, geomorphy [10], and geology-changing climate [11].A slope consists of soil and rock. Previous research treated geomaterials as homogeneous materials and did not separate soils and rock. Different geomaterials have different affects on slope stability. Mahmood and Kim [12] analyzed the effect of soil type on matric suction and stability of unsaturated slope, using the modified MohrCoulomb failure criterion and the saturated-unsaturated seepage model, and drew upon the fact that saturatedunsaturated hydraulic conductivity and matric suction head affect the matric suction results. Tiwari and Ajmera Pol. J. Environ. Stud. Vol. 26, No. 6 (2017), 2747-2757 AbstractRock-soil aggregate landslides are distributed all over the world and have done great harm to transportation networks, buildings, personal safety, and city construction. Although landslide studies usually focus on the slope of the single homogeneous material, few slopes are composed of or covered by various complicated geomaterials. This paper proposes a calculation model of the slope covered by rock-soil aggregate and analyzes Longhuguan landslide in Guangxi, China, considering rainfall. Fully considering the weak surface, a support design plan is given.The unbonded cable is taken to support the landslide, the concrete beams are adopted on the angle turning point of the surface, and the slide-resistant piles are used to jointly support the front edge of the slope. Top fissures are blocked and landslide drainage measures are taken. The displacement monitoring proves that the support is effective. This study can provide many references for landslide support and analysis covered by rock-soil aggregate.

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“…It is common in practice that scholar or practitioners use the preferred SWCC, shear strength, and hydraulic conductivity model to conduct the coupled analysis. However, previous study [6] showed that the stability of unsaturated slopes is significantly affected by the SWCC used in the coupled analysis since it governs the shear strength and hydraulic conductivity profile in field. In the present study, a series of coupled analyses are carried out to investigate the effect of SWCC and hydraulic conductivity function on the safe height and stand-up time of UVTs in unsaturated soils.…”

Section: Introductionmentioning

confidence: 99%

Effect of Soil-Water Characteristic Curve on the Stability of Unsupported Vertical Trenches in Unsaturated Soils

Bajestani

2023

E3S Web of Conf.

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In geotechnical engineering practice, unsupported vertical trenches are typically excavated in unsaturated soils. In this case, the variation of shear strength and hydraulic conductivity with respect to soil suction is key information to analyze the stability of an unsupported vertical trench. Most shear strength and hydraulic conductivity models use the soil-water characteristic curve (SWCC) as a main tool. Various models are available to determine SWCC, shear strength, and hydraulic conductivity for unsaturated soils. Scholars or practitioners use one the existing models in numerical analyses to estimate the stability of unsupported vertical trench considering rainfall events. However, limited studies have been undertaken to investigate the effect of SWCC and hydraulic conductivity functions on the stability of unsupported vertical trenches in unsaturated soils. In the present study, numerical stability analyses are carried out by using different SWCCs and hydraulic conductivity functions to investigate their influence on the estimated safe height and stand-up time of unsupported vertical trenches. The same shear strength model was used for entire numerical analyses.

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Effect of soil hydraulic properties model on slope stability analysis based on strength reduction method

Cited by 11 publications

References 7 publications

Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Development of precipitation-data-based real-time slope stability estimation method considering the uncertainty of soil hydraulic properties

Stability and Support Analysis of Coverage Rock-Soil Aggregate of Longhuguan Landslide

Effect of Soil-Water Characteristic Curve on the Stability of Unsupported Vertical Trenches in Unsaturated Soils

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