Physical model test on deformation and failure mechanism of deposit landslide under gradient rainfall

Wang, Huanling; Jiang, Zihua; Xu, Weiya; Wang, Rubin; Xie, Wei‐Chau

doi:10.1007/s10064-021-02566-y

Cited by 32 publications

(12 citation statements)

References 32 publications

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“…A 4-hour quiet interval follows each 5.5-hour bout of gradient rainfall, as summarized in Table 5. Wang et al (2022) conducted similar experimental tests and situations. The experimental scheme can be defined as follows:…”

Section: Experiments Schemementioning

confidence: 99%

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Failure Probability of Deposit Landslide Under Gradient Rainfall Based on Conditional Probability

Kouame,

Wang

2024

Preprint

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Predicting the deposit landslide’s failure probability is a critical parameter in the geotechnical process. The cohesion and the internal friction are usually selected as random parameters for the numerical constitutive model. The existing method can predict the failure probability function (FPF) using the Monte Carlo method (MCM). However, it struggles with the limitation of the current probability density function (PDF). In this study, a small interval of parameters is introduced to estimate the parameters. The FPF can be converted into the augmented failure probability (AFP) approximation and the conditional probability related to the parameter interval using the Bayes model. Once the criterion of the small parameter intervals required for estimating the measure is selected, a single MCM combined with the adaptive Kriging nested method and MCM (AK-MCM) is established to approximate AFP. The Dahua deposit landslide is chosen as a case study to evaluate the accuracy and efficiency of the proposed solution. The copula model is used to correlate the rainfall intensity and the duration. The results reveal that the proposed solution is more accurate than the direct MCM and show that the return period could influence the failure probability.

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Section: Experiments Schemementioning

confidence: 99%

“…Figure 4. Deformation and failure characteristics of landslide model after artificial rainfall(Wang et al, 2022) …”

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confidence: 99%

Failure Probability of Deposit Landslide Under Gradient Rainfall Based on Conditional Probability

Kouame,

Wang

2024

Preprint

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“…The density of the similar material and the prototype material should be relatively similar to provide a reliable scale for subsequent calculations. It also requires that the physical properties of these two materials are similar and the mechanical indicators are relatively stable [46]. The material should have a granular bulk, so that it can have a better shape after stacking, air-drying, and cementing.…”

Section: Similar Materials Proportioningmentioning

confidence: 99%

Rainfall–Mining Coupling Effects on Slope Failure Mechanism and Evolution Process: A Case Study of Open-Pit to Underground Mining

Li,

Wang,

et al. 2024

Water

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This research examines how rainfall and mining affect the slope damage resulting from the transition from open-pit mining to underground mining. Using an unmanned aerial vehicle (UAV), the Huangniu slope of the Dexing Copper Mine was fully characterized, and experiments were conducted on rock samples from appropriate sites. First, the mechanical properties of the samples were measured. Then, the parameters of the similarity simulation experiments were derived based on the similarity theory. Subsequently, the rainfall, rock slope, data acquisition, and monitoring systems were designed. Finally, the rock mass failure with different slope angles was analyzed, and the deformation and damage patterns under the coupling effect were obtained. The results show that rainfall increases pore water pressure and moisture content. Rainfall and slope-slip water have more of an impact on the open-pit platform. The pore water pressure values on the upper rock mass rise faster than inside it. In the open-pit mining stage, the rock mass shifts slightly to the upper left. In the room mining stage, vertical fractures and goaf sinking occur. The fractures above the mine form a semi-ellipse. In the pillar mining stage, overlying rock displacement is evident and fractures persist. In the continuous pillar mining stage, the overlying rock collapses. The 65° slope model was the most damaged, while the 55° slope model was the least damaged. The results also suggest that the UAV guides sample selection.

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“…The effect of water was the main triggering factor for the deformation of unstable slopes [37,38]. According to local historical records, when the crack first formed in 1998, the sound of water flowing from the bottom of the crack could be heard.…”

Section: Deformation and Failure Characteristics Of Unstable Slopementioning

confidence: 99%

Stability Analysis of an Unstable Slope in Chongqing Based on Multiple Analysis Methods

Li¹,

Hu³

et al. 2023

Processes

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The failure of an unstable slope has the characteristics of sudden disaster, rapid sliding speed, and a wide range of influence. This study selected an unstable slope in Chongqing as the evaluation object, divided it into the strong-deformation zone and weak-deformation zone, and analyzed its formation mechanism and deformation failure mode. Macroscopic qualitative analysis was processed by the geological exploration method, the slope stability and the sliding thrust were quantitatively analyzed by the limit equilibrium method, and the sensitivity analysis was calculated and conducted on its shear strength parameters by laboratory tests and a field large shear test. The historical formation process of the slope was deduced, and suggestions for the prevention and control of unstable slopes were proposed. Studies show that the deformation mechanism of an unstable slope is a push type, its deformation is mainly concentrated in the southern area of the rear edge, and the width of the slope ground tensile crack is 1~30 cm, with a visible depth of 3~30 mm and an extension of 3~12 m. The shear strength of potential sliding zone soil in the weak-deformation zone is: cpw = 35.70 kPa, φpw = 14.80°, and in the strong-deformation zone it is: cps = 32.54 kPa, φps = 13.54°. The results show that the formation of a steep cliff by the artificial mining of sandstone is the main cause of slope deformation, the action of groundwater is the main triggering factor for slope deformation, and the inclined rock mass at the front edge is the key block for the deformation. The strong-deformation zone of the slope is in an unstable state under rainstorm, and the weak-deformation zone of the slope is basically-stable under rainstorm. Unstable slopes are prone to slide during a rainstorm period, which threatens the lives and properties of the residents and road traffic safety around the slope. The research results provide an important theoretical basis and data support for the accurate judgment and stability analysis of instability failure modes and for the further effective prevention and control of unstable slopes.

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Physical model test on deformation and failure mechanism of deposit landslide under gradient rainfall

Cited by 32 publications

References 32 publications

Failure Probability of Deposit Landslide Under Gradient Rainfall Based on Conditional Probability

Failure Probability of Deposit Landslide Under Gradient Rainfall Based on Conditional Probability

Rainfall–Mining Coupling Effects on Slope Failure Mechanism and Evolution Process: A Case Study of Open-Pit to Underground Mining

Stability Analysis of an Unstable Slope in Chongqing Based on Multiple Analysis Methods

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