Run-out prediction and failure mechanism analysis of the Zhenggang deposit in southwestern China

Wang, S. N.; Xu, Weiya; Shi, Chong; Chen, H. J.

doi:10.1007/s10346-016-0770-y

Cited by 21 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FT erosion sensitivity is used to identify regions that are prone to freeze-thaw erosion and provide a scientific basis for human production and life (Wang et al, 2017). The objective of this study is to assess current FT erosion sensitivity levels in Tibet and evaluate the influence of different factors on FT erosion.…”

Section: Figurementioning

confidence: 99%

“…The geographic location of the Yellow River source area, influenced by the interplay among the Asian summer monsoon (ASM), Plateau monsoon, and Westerlies, provides great potential for elucidating climatic or environmental changes from sedimentary archives (Li et al, 1995;Wang et al, 1995;Shen et al, 1996;Zhou et al, 2010;Zhao et al, 2011;Wang et al, 2017;Hu et al, 2018;Jia et al, 2022). The sensitivity of the region is shown in the temporal and spatial variability of natural indicators, such as floods, desertification, droughts and biodiversity, which are closely related to the global change drivers, climate and human activity (Li et al, 2011;Meng et al, 2016;Guo et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…LW accumulated at key cross sections, such as bridge piers and culverts, producing increased upstream water levels, large horizontal structural loadings, and flow field modifications that considerably exacerbated scour (Laursen 1956;Melville and Dongol, 1992;Pagliara and Carnacina, 2010;Schmocker et al, 2011;Schmocker and Hager, 2013;Jochner et al, 2015;Comiti et al, 2016;Hartlieb 2017;Panici and Almeida, 2018;Schalko et al, 2018;Schalko et al, 2019;. LW can also block spillways of check dams, which causes sediment trapping upstream by subsequent debris flows and decreases their discharge ability and storage capacity (Doi et al, 2000;SEDALP WP6 Report 2014;Piton and Recking, 2016;Rossi and Armanini, 2019;Wang et al, 2017). LW transported by debris flow or flood waters can strike residential or other structures and exert a certain impact force that can be large enough to cause substantial damage to structures (Fu et al, 2001;Haehnel and Daly, 2002;Robert and Steven, 2004).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Water-Related Natural Disasters in Mountainous Area, volume II

2024

Frontiers Research Topics

View full text Add to dashboard Cite

Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

show abstract

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Water-Related Natural Disasters in Mountainous Area, volume II

2024

Frontiers Research Topics

View full text Add to dashboard Cite

show abstract

“…According to a geological reconnaissance survey, the Zhenggang landslide has undergone three episodes of largescale sliding in the past and formed three potential sliding surfaces, as evidenced by its long-term deformation evolution and the destructive features in the surrounding environment (Wang et al, 2017). The largest bedrock landslide formed in the first stage and was caused by fracturing, i.e., shear failure of layered rock, which was subjected to large bending and/or toppling forces.…”

Section: Characterization and Geology Features Of Landslidementioning

confidence: 99%

System reliability analysis of landslides involving sliding surfaces using intelligent multiple response surfaces

et al. 2023

View full text Add to dashboard Cite

The shear strength reduction method provides an effective tool of numerical analysis for landslides reliability analysis. However, it ignores the failure probability of the secondary failure surfaces and requires huge computational cost. To avoid these common criticisms, an intelligent multiple response surfaces method for system reliability using multiple response-surface method (MRSM) and least-squares support vector machine (LSSVM) is presented to evaluate the stability of complex multistage historic landslides with multiple sliding surfaces. Deterministic analysis of each sliding surface is first performed using the finite element method of sliding surface stress analysis, which is applied to obtain the safety factors of different sliding surfaces from the stress fields generated by finite element simulations. The LSSVM model with excellent nonlinear fitting ability is then employed to construct the multiple response-surface method (MRSM) of the sliding surfaces and a genetic algorithm (GA) is adopted to optimize the LSSVM. This proposed methodology is finally applied to investigate the probability of system failure of the Zhenggang landslide in southwestern China. The results indicate that the proposed approach can reduce the computational cost of finite element analysis in direct Monte Carlo simulation (MCS) by proper training using a limited of samples, and the calculation accuracy meets the engineering requirements of complex multistage historic landslides.

show abstract

“…They established a support vector machine (SVM) coupled with PFC to back-analyze the macroscopic and microscopic strength parameters of the rock materials and investigated the velocity, displacement, and kinetic energy features of the landslide [5]. Wang et al performed dynamic simulations for the Zhenggang landslide based on a 3-D geological model and PFC3D to study the landslide's deposition morphology and failure mechanism [6]. Although the discrete element technique can simulate millions of particles, the scale of the granular medium system is still not considered "macroscopic" [7].…”

Section: Introductionmentioning

confidence: 99%

Characterization of the Kinematic Evolution of the Hongshiyan Landslide Using the Material Point Method

Yang

Wang

et al. 2022

Front. Phys.

View full text Add to dashboard Cite

In 2014, a landslide disaster occurred at Hongshiyan in Ludian County, Yunnan Province, China, causing the landslide-dames in Niulanjiang River. Scholars have studied the characteristics and causal mechanisms of this landslide and obtained substantial results. However, the kinematic evolution characteristics of the landslide remain relatively unclear. To resolve this problem, we introduced the Material Point Method (MPM) to study large-scale deformations for simulation analysis. The results showed that the movement of the slide body could be divided into three stages: accelerated sliding, decelerated sliding, and stabilizing. The velocity field and displacment field of the slide body is closely related to its spatial distribution. The velocity and displacement of the surface part higher than that of the shallow part. The internal friction angle and friction coefficient significantly affected the kinematic characteristics of landslide. The decrease in the internal friction angle and friction coefficient reduced the energy consumed by the friction between particles and between the particles and the sliding bed, raising the landslide velocity and displacement.

show abstract

Run-out prediction and failure mechanism analysis of the Zhenggang deposit in southwestern China

Cited by 21 publications

References 26 publications

Water-Related Natural Disasters in Mountainous Area, volume II

Water-Related Natural Disasters in Mountainous Area, volume II

System reliability analysis of landslides involving sliding surfaces using intelligent multiple response surfaces

Characterization of the Kinematic Evolution of the Hongshiyan Landslide Using the Material Point Method

Contact Info

Product

Resources

About