Evaluation of dynamic stability and analysis of reinforcement measures of a landslide under seismic action: a case study on the Yanyangcun landslide

Fu, Xiaodong; Sheng, Qian; Du, Wenjie; Mei, Hongru; Chen, He; Du, Yonggang

doi:10.1007/s10064-020-01745-7

Cited by 19 publications

(5 citation statements)

References 37 publications

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“…Many geological hazards have been induced in geological materials, which are extremely inhomogeneous and composed of rock blocks with high strength, fine soils, and pores, called "soilrock mixture" (S-RM) by scholars (Gao et al, 2018;Senthilkumar et al, 2018;Fu et al, 2020;Gao et al, 2021). Due to its very nature, S-RM usually exhibits very complex physical and mechanical behaviors (Xu et al, 2015;Zhang et al, 2015;Zhang Z. L. et al, 2016;.…”

Section: Introductionmentioning

confidence: 99%

A quantitative description method for the mechanical behavior of soil-rock mixture as affected by water content

Du,

Fu,

Sheng

et al. 2023

Front. Ecol. Evol.

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The mechanical properties of soil rock mixture (S-RM) are complex, especially the strength deterioration after encountering water, which readily leads to engineering instability. A series of large triaxial tests of S-RM with different water contents under various confining pressures were performed, the mechanical properties of S-RM were explored from a macroscopic perspective. The constitutive model of S-RM – an extended Duncan-Chang (DC) model considering water content – was developed. The results show that: (a) the stress-strain curves of S-RM are strain hardening type, the peak strength decreases non-linearly with the increase of water content, the higher the water content of sample, the more significant the bulging phenomenon and the more numerous and extensive the surface cracks; (b) the cohesion c and internal friction angle φ of S-RM both decrease approximately linearly with the increase of water content, and the secant modulus decreases significantly with the increase of water content, the reason of which can be attributed to the porosity and compression characteristics of S-RM; (c) the extended DC model can be used to describe the mechanical behavior of S-RM affected by water under triaxial test conditions. The material constant K, failure ratio Rf, c, and φ are all related to water content ω, while material constant n is independent, only ω, n, maximum principal stress σ1, and minimum principal stress σ3 are needed to determine the tangent modulus of the DC model of S-RM. The results can provide an experimental basis and mechanical understanding applicable to engineering practice in an S-RM formation.

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Section: Introductionmentioning

confidence: 99%

A quantitative description method for the mechanical behavior of soil-rock mixture as affected by water content

Du,

Fu,

Sheng

et al. 2023

Front. Ecol. Evol.

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“…Sci. 2023, 13 Newmark method and probabilistic method are the main analytical methods used [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Vertical Seismic Acceleration on the Triggering of Landslides Constrained by Bedding Faults under an Inertial Frame Reference: The Case of the Daguangbao (DGB) Landslide

Xiang,

Jiang,

Yang

et al. 2023

Applied Sciences

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The Daguangbao (DGB) landslide was the largest landslide that was triggered by the 2008 Wenchuan earthquake with a magnitude of Ms8.0. The sliding surface of this landslide was constrained on a bedding fault 400 m below the ground surface. Seismic records show that the landslide suffered not only from strong horizontal but also vertical ground shaking that was almost equal to the horizontal component. In this study, to reveal the landslide triggering mechanism of the DGB landslide, this study ignores the steep dipping tension fracture section and the leading edge-locking section of the trailing edge of the DGB landslide, and the geological model of the large optical package landslide is generalized into a block model with the bottom controlled slip soft zone as the interface. Based on the improved Newmark method that considers vertical ground motion, the three-way seismic acceleration data and the shear strength parameter of the sliding surface being taken as a variable are used to calculate the cumulative permanent displacement of the slider. Then, by considering the cumulative permanent displacement ratio of vertical seismic acceleration or not and the cumulative permanent displacement ratio value considering the inertial force as the index, the response characteristics of the cumulative permanent displacement of the block-to-vertical ground motion and inertial forces were analyzed. The results show that both the horizontal inertial force and the vertical acceleration significantly increased the permanent displacement. The permanent displacement is 4.9 cm when considering the vertical acceleration, whereas it is only 2.0 cm without taking this into account. The contribution of vertical acceleration is significantly enlarged (87.8–90.7%) by the decreasing of the internal friction angle of the slide surface, while it is less influenced (5–27.4%) by the cohesion. Compared with the lower shear strength parameter of the sliding surface, the contributions of vertical acceleration and inertial force to the permanent displacement are more obvious when the shear strength parameter of the sliding surface is higher. When ϕ > 18°, the D/D* is greater than 1, and the maximum D/D* reaches 7. The fast accumulation event of permanent displacement is triggered in the concentration stage of the seismic energy release. In the DGB landslide area, 50% of the energy is released within 30–50 s, as indicated by the acceleration peaks recorded at the nearest seismic station, Qingping station. It is assumed that the DGB landslide may be triggered at 30–50 s due to half of the seismic energy being released during that time span.

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“…Landslides are one of the most damaging and deadly geology hazards that pose a significant threat to human lives, properties, and infrastructures in mountainous terrains. They are responsible for at least 17% of all fatalities by natural hazards (Carla et al, 2017;Fu et al, 2020) and lead to on average hundreds of millions of dollars lost worldwide each year . Consequently, prediction and mitigation of landslide geohazards have attracted a lot of attention and remain hot issues within the fields of geotechnical engineering and engineering geology (Fu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Early Warning Indicators of Landslides Based on Deep Displacements: Applications on Jinping Landslide and Wendong Landslide, China

Chen¹,

Guo²,

Fang³

et al. 2021

Front. Earth Sci.

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Real-time monitoring and early warning have great significance in reducing/avoiding the consequences caused by landslides. The deep displacement-based monitoring method has been proven to be a suitable solution for landslide risk management. However, the early warning indicators based on the deep displacement method need to be fully understood. This paper reports on an investigation into early warning indicators and deformation monitoring of several natural landslides. A series of indicators using the profiles of the accumulative displacement, kinetic energy, and their rates against time for early warning are developed and calibrated by monitoring and analyzing a natural landslide. The early warning indicators are then applied to monitor and identify the different deformation stages of the Jinping County North Landslide and the Wendong Town Landslide.

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Evaluation of dynamic stability and analysis of reinforcement measures of a landslide under seismic action: a case study on the Yanyangcun landslide

Cited by 19 publications

References 37 publications

A quantitative description method for the mechanical behavior of soil-rock mixture as affected by water content

A quantitative description method for the mechanical behavior of soil-rock mixture as affected by water content

The Influence of Vertical Seismic Acceleration on the Triggering of Landslides Constrained by Bedding Faults under an Inertial Frame Reference: The Case of the Daguangbao (DGB) Landslide

Early Warning Indicators of Landslides Based on Deep Displacements: Applications on Jinping Landslide and Wendong Landslide, China

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