Residual-state creep of clastic soil in a reactivated slow-moving landslide in the Three Gorges Reservoir Region, China

Wang, Shun; Wu, Wei; Wang, Jinge; Yin, Zhen‐Yu; Cui, Deshan; Xiang, Wei

doi:10.1007/s10346-018-1043-8

Cited by 47 publications

(32 citation statements)

References 43 publications

(57 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, we utilize the reciprocal value of F sb to be the landslide intensity in this study. The relationship between building vulnerability and the landslide intensity was fitted by employing a Weibull (1951) function that produces an S-shaped curve. This type of distribution curve has been proved to be the best for physical vulnerability analysis by Papathoma-Köhle et al (2015).…”

Section: General Functionsmentioning

confidence: 99%

“…Slow-moving landslides are observed worldwide in many countries, e.g. Italy (Cascini et al, 2008;Antronico et al, 2015;Uzielli et al, 2015a;Borrelli et al, 2018;Ferlisi et al, 2019), Canada (Clifton et al, 1986;Brooker and Peck, 1993;Moore et al, 2006;Barlow, 2000), China (Chen et al, 2016;Zhang et al, 2018;Dong et al, 2018;Wang et al, 2018), the USA (Esser, 2000), and Australia (Jworchan et al, 2008). Fell et al (2008) suggested the estimation of the physical vulnerability of elements at risk for various landslide types.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

Chen¹,

Chen²,

Gui³

et al. 2020

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Physical vulnerability is a challenging and fundamental issue in landslide risk assessment. Previous studies mostly focus on generalized vulnerability assessment from landslides or other types of slope failures, such as debris flow and rockfall, while the long-term damage induced by slow-moving landslides is usually ignored. In this study, a method was proposed to construct physical vulnerability curves for masonry buildings by taking the Manjiapo landslide as an example. The landslide's force acting on the buildings' foundation is calculated by applying the landslide residual-thrust calculation method. Considering four rainfall scenarios, the buildings' physical responses to the thrust are simulated in terms of potential inclination by using Timoshenko's deep-beam theory. By assuming the landslide safety factor to be landslide intensity and inclination ratio to be vulnerability, a physical vulnerability curve is fitted and the relative function is constructed by applying a Weibull distribution function. To investigate the effects of buildings' parameters that influence vulnerabilities, the length, width, height, and foundation depth and Young's modulus of the foundation are analysed. The validation results on the case building show that the physical vulnerability function can give a good result in accordance with the investigation in the field. The results demonstrate that the building length, width, and foundation depth are the three most critical factors that affect the physical vulnerability value. Also, the result shows that the higher the ratio of length to width of the building, the more serious the damage to the building. Similarly, the shallower the foundation depth is, the more serious the damage will be. We hope that the established physical vulnerability curves can serve as tools for the quantitative risk assessment of slow-moving landslides.

show abstract

Section: General Functionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

Chen¹,

Chen²,

Gui³

et al. 2020

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…All evidence indicates that the No. 1-1 riverside sliding mass exhibits the largest deformation, revealing the most fragile part of the landslide [47,50].…”

Section: Introductionmentioning

confidence: 99%

Simulating landslide-induced tsunamis in the Yangtze River at the Three Gorges in China

Wang

et al. 2021

Acta Geotech.

Self Cite

View full text Add to dashboard Cite

Landslide-induced tsunamis may cause fatalities, damages and financial losses. In the Three Gorges Reservoir Area of China, several large landslides are still unstable and persistently creeping toward the Yangtze River. In this paper, we investigate the impacts of landslide-induced tsunamis in the Three Gorges Reservoir by using a hybrid numerical approach. One of the largest unstable mass in this area, the Huangtupo landslide, is chosen as the study object. First, the landslide deformation and initiating velocities are obtained by using the finite-discrete element method. The landslide-induced tsunamis and their impacts on shipping on the Yangtze River are then investigated through smooth particle hydrodynamics modelling. Our results reveal that an approximately 80% reduction in shear strength of the tip in the landslide will lead to catastrophic failure of the landslide, with sliding velocities of up to 8 m/s. Subsequently, such a collapse may initiate a river tsunami, propagating up to 9 m on the nearby reservoir banks within 3 km. The impacts on surrounding floating objects, such as surges and sways, heaves and rolls, are up to 110 m, 8 m and 6°, respectively. The simulations indicate that although the likelihood of a catastrophic failure of the whole landslide is low, the partial sliding still poses severe threat to the nearby reservoir banks and shipping on the Yangtze River. Thus, we recommend continuous monitoring as well as landslide early warning systems at this and also other hazardous sites in this area.

show abstract

“…Seventy percent of the reactivated landslides exhibited severe deformation during the drainage period; however, approximately 16% of the landslides deformed during the filling stage [15]. A large number of previous studies have shown that the deformation characteristics of these landslides are affected by the hydraulic conditions (e.g., the fluctuation rate of the water level) and the material properties (e.g., permeability and mechanical strength) [19][20][21]. However, further efforts are needed to evaluate the behavior of the macro-geological model.…”

Section: Introductionmentioning

confidence: 99%

Centrifuge Modeling and the Analysis of Ancient Landslides Subjected to Reservoir Water Level Fluctuation

Tang

et al. 2020

Sustainability

View full text Add to dashboard Cite

Landslides are among the most severe natural hazards with significant impacts in human life and infrastructure. The Three Gorges Reservoir Area (TGRA) is vulnerable to landslides because of the geological environment and human activities. A centrifuge model test of a landslide with a planar sliding surface in the TGRA was conducted. Based on the multiple monitoring systems composed of a 3D laser scanner, pore water pressure transducers, particle image velocimetry and earth pressure sensors, multiphysical data were obtained. The work described here had the objective of researching the long-term deformation pattern of this kind of landslide that was subjected to periodic fluctuations in the reservoir water level. The results indicated that the failure processes were characterized by progressive retrogression and cracks caused by the reservoir drawdown. Transverse tensile cracks first appeared in the submerged zone of the slope. The front part of the slope was dominated by horizontal displacement, while the consolidation and compaction deformation in the vertical direction dominated at the mid-rear part of the slope. When the water level dropped again, the front part slid down and fell into the river, but the mid-rear part had no obvious deformation and exhibited a phenomenon of self-stabilization. Moreover, the phreatic line is a concave shape directed into the slope during reservoir filling and converts to a convex shape pointing out of the slope during reservoir drawdown. The earth pressures in the slope vary with the failure process of the landslide. Good agreement is obtained for the deformation characteristics between the experimental results and those of prototype landslides.

show abstract

Residual-state creep of clastic soil in a reactivated slow-moving landslide in the Three Gorges Reservoir Region, China

Cited by 47 publications

References 43 publications

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

Assessment of the physical vulnerability of buildings affected by slow-moving landslides

Simulating landslide-induced tsunamis in the Yangtze River at the Three Gorges in China

Centrifuge Modeling and the Analysis of Ancient Landslides Subjected to Reservoir Water Level Fluctuation

Contact Info

Product

Resources

About