Stability analysis of cut slope with shear band propagation along a weak layer

2020 ◽  
Vol 125 ◽  
pp. 103676
Author(s):  
Wangcheng Zhang ◽  
Dong Wang
Geosciences ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 55 ◽  
Author(s):  
S. Seyed-Kolbadi ◽  
J. Sadoghi-Yazdi ◽  
M. Hariri-Ardebili

Slope uncertainty predominantly originates from the imperfect analysis model and the inaccuracy and imprecision of the observations. The strength reduction method (SRM) is widely used to attain the safety factor (SF) of the slopes, which is similar to interpretation of the limit state (LS). In this paper, the spectral element method (SEM), using an elasto-plastic Mohr–Coulomb failure criterion, is employed to project the plausible LS of the soil slopes. An iterative SRM search method is proposed to evaluate the SF of the slopes regardless of the LS interpretation. The proposed SRM paradigm encompasses the design trigger to trace the uncertain parameters in decision-making. This method is applied to three numerical examples: (1) a homogeneous dry slope, (2) a dry slope with a weak layer, and (3) a partially-wet slope with a weak layer. It is shown that for the case study examples, the proposed SRM reasonably converges to the required precision. Results further are compared and contrasted with some of the conventional and standard techniques in slope stability. This hybrid procedure paves the road for fast and safe stability analysis of man-made and natural slopes.


2011 ◽  
Vol 6 (2) ◽  
pp. 191-200 ◽  
Author(s):  
Takashi HOSHINA ◽  
Satoru OHTSUKA ◽  
Koichi ISOBE

2013 ◽  
Vol 81 (6) ◽  
pp. 804-812 ◽  
Author(s):  
Dhananjai Verma ◽  
Ashutosh Kainthola ◽  
Rahul Thareja ◽  
T. N. Singh

2012 ◽  
Vol 22 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Tae-Chin Cho ◽  
Taik-Jean Hwang ◽  
Guen-Ho Lee ◽  
Kye-Seong Cho ◽  
Sang-Bae Lee

2021 ◽  
Vol 9 ◽  
Author(s):  
Chang Zhou ◽  
Dong Ai ◽  
Wei Huang ◽  
Huiyuan Xu ◽  
Liwen Ma ◽  
...  

The stability analysis of damaged landslides and unstable debris is important for rescue work and emergency operations. This paper investigates a predisposed geological emergence, inducing the factors and deformation processes of the Zhongbao landslide, which happened on July 25, 2020. The stability of the landslide debris was evaluated by an integrated monitoring system consisting of ground-based radar, unmanned aerial vehicles, airborne Lidar, thermal infrared temperature monitoring, GNSS displacement monitoring, deep displacement monitoring, and rainfall monitoring. The strata and weak layer controlled the landslide failure, and topography defined the boundary of the failed rock mass. A continually intensive rainfall caused the deformation and accelerated failure of the landslide. The shallow and steep deposit (Part I) firstly slid at a high velocity, and then pushed the rear part of the landslide (Part II) to deform, forming numerous cracks, which accelerated the rainfall infiltrating into the rock mass. The moisture content increase could decrease the strength of the shale rock within the bedding planes. Finally, with the rock and soil mass sliding along the weak layer, a barrier dam and a barrier lake were formed. The monitoring and numerical simulation results showed that after the landslide failure, there was still local collapse and deformation occurrences which threatened rescue work and barrier lake excavation, and the stability of the accumulation area gradually decreased as the rainfall increased. Therefore, the barrier dam was not excavated until the accumulation rate gradually stabilized on July 28. Moreover, most of the reactivated deposits still accumulated in the transportation and source areas. Thus, in August, the displacement of the landslide debris gradually accelerated in a stepwise manner, and responded strongly to rainfall, especially in the accumulation area, so that it was inferred that the damaged landslide could slide again and cause a more threatening and severe failure. The analysis results of the study area can provide references for the failure mechanism of a rainfall-induced landslide and the stability evaluation of a damaged landslide.


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