Effect of spatial variability of shear strength parameters on critical slip surfaces of slopes

Qi, Xiao; Li, Dian Qing

doi:10.1016/j.enggeo.2018.03.007

Cited by 93 publications

(10 citation statements)

References 44 publications

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“…The shear strength is an important input for analyzing the stability of a slope [39,40]. It has been found that the peak strength of a soil is closely related to the density and the initial stress state of a soil [41]; while the residual strength of a soil is typically associated with clay contents, Atterberg limits, its density, and the type of a soil [42,43], and is independent of its initial stress state [44].…”

Section: The Peak Shear Strength and Residual Strengthmentioning

confidence: 99%

Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Xue¹,

Wang²,

Li³

2020

Water

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Loess landslides are closely related to the variation in mechanical properties of soils due to the leaching of irrigation water in the irrigation area which causes the loss of soluble salt in the loess stratum. To investigate the effect of leaching on the mechanical characteristics of loess, ring shear tests were conducted on the slip zone soil samples obtained from a typical loess landslide under different soaking time and salt concentration. Furthermore, the microstructural observations were made on shear planes by using SEM (scanning electron microscopy) tests. The experiment revealed that: firstly, the shear strength of loess decreases with the increase of soaking time before reaching the minimum value at the soaking time of 1 d, and then increases with the soaking time until reaching a relatively stable value. Secondly, the shear strength of loess has an increasing tendency with the salt concentration before reaching a maximum value at the salt concentration of 8%, and then shear strength decreases. In addition, a “stress-softening” was found for the loess samples with the soaking time of 1 d and salt concentration of 8%. It is found that the total number of micropores and small-pores in loess samples decreases with increasing salt concentration up to 8%, but increases rapidly between salt contents of 8% and 20%. The SEM tests showed that the increase in salt concentration (0% to 8%) facilities the formation of small aggregates within loess soils, which in turn promotes the increasing of shear strength. However, further increase in salt concentration (8% to 20%) helps the development of relatively large aggregates in loess samples, resulting in the reduction in shear strength.

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Section: The Peak Shear Strength and Residual Strengthmentioning

confidence: 99%

Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Xue¹,

Wang²,

Li³

2020

Water

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“…In the context of random field theory, the spatial correlation between variations of I c (or, equivalently, the logarithm lnI c of I c that follows Gaussian distribution in this study) at different depths is specified by a correlation function. Here, the correlation function of lnI c is taken as a single exponential correlation function that is frequently used in geotechnical analysis (e.g., Fenton, 1999a, b;Phoon et al 2003Phoon et al , 2004Uzielli et al 2005;Li et al 2014;Qi and Li, 2018;Xiao et al 2018). The correlation coefficient ρ n between the logarithms (i.e., lnI c (Z i ) and lnI c (Z j )) of I c at respective depths Z i and Z j is then given by:…”

Section: Random Field Modeling Of Soil Behaviour Type Index Profilementioning

confidence: 99%

Bayesian identification of soil stratigraphy based on soil behaviour type index

Cao

Zheng

et al. 2019

Can. Geotech. J.

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The cone penetration test (CPT) has been widely used to determine the soil stratigraphy (including the number N and thicknesses HN of soil layers) during geotechnical site investigation because it is rapid, repeatable, and economical. For this purpose, several deterministic and probabilistic approaches have been developed in the literature, but these approaches generally only give the “best” estimates (e.g., the most probable values) of N and HN based on CPT data according to prescribed soil stratification criteria, providing no information on the identification uncertainty (degrees-of-belief) in these “best” estimates. This paper develops a Bayesian framework for probabilistic soil stratification based on the profile of soil behaviour type index Ic calculated from CPT data. The proposed Bayesian framework not only provides the most probable values of N and HN, but also quantifies their associated identification uncertainty based on the Ic profile and prior knowledge. Equations are derived for the proposed approach, and they are illustrated and validated using real and simulated Ic profiles. Results show that the proposed approach properly identifies the most probable soil stratigraphy based on the Ic profile and prior knowledge, and rationally quantifies the uncertainty in identified soil stratigraphy with consideration of inherent spatial variability of Ic.

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“…Although the limiting equilibrium (LE) method extensively used for stability analysis, is lacking in definite respects: predominantly, the incapability of the technique to consider the multifaceted constitutive relations of the slope materials [5,6]. Furthermore, during LE calculations assumptions are made by which water influences are isolated, because the influences of preliminary stresses are not straightforwardly incorporated, and this is impossible to compute local safety factors for slope [7,8].…”

Section: Introductionmentioning

confidence: 99%

Study of critical failure surface influencing factors for loose rock slope

2021

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In current research, a novel geometrical technique is introduced to estimate the length (L) of sliding arc by considering slip surface entry point distance (de). Morgenstern-Price limiting equilibrium and strength reduction methods are selected within the framework of SLOPE/W and FLAC3D softwares respectively, to study the sliding mechanism and stability-effecting factor for a loose rock slope comprise of two different material. Also, the variability influence of strength parameters (cohesion force and friction angle) and the depth of pore water pressure on safety factor, failure depth (D) and distribution range of critical failure surface (CFS) are investigated through software. The results show that the shear strength parameters and the depth of pore water pressure plays a significant role in altering overall stability and the distribution range of CFS for a loose rock slope. Shallow failure with composite failure surface is much easier to occur for loose rock slope subjected to pore water pressure and material heterogeneity. These findings can be effectively used for loose rock slope reinforcement design.

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Effect of spatial variability of shear strength parameters on critical slip surfaces of slopes

Cited by 93 publications

References 44 publications

Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Bayesian identification of soil stratigraphy based on soil behaviour type index

Study of critical failure surface influencing factors for loose rock slope

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