Kinematic-based failure angle analysis for discontinuity-controlled rock slope instabilities: a case study of Ren Yi Peak Cluster in Fusong County, China

Yan, Jianhua; Chen, Jianping; Li, Yuchao; Li, Zhihai; Zhang, Yansong; Zhou, Xin; Mehmood, Qaiser; Liu, Jing; Wang, Zhou

doi:10.1007/s11069-021-05137-2

Cited by 10 publications

(3 citation statements)

References 22 publications

(39 reference statements)

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“…However, the description and interpretation of the result from an individual joint set are not included in the context of this study. The susceptibility to failure is represented in the range of 0 to 100, categorized into five classes: very low (0-20), low (21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40), moderate (41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54)(55)(56)(57)(58)(59)(60), high (61)(62)(63)(64)(65)(66)(67)(68)(69)…”

Section: Resultsmentioning

confidence: 99%

“…A modified stereographic method for wedge analysis and a tool for toppling failure are proposed in [32,33], respectively. In recent years, probabilistic kinematic analysis is widely performed using the stereonet method to include the effect of natural variability in joint orientations [34][35][36][37][38][39][40]. There are few attempts to use disconti-nuities derived from laser scanning and unmanned aerial vehicle (UAV) point clouds in structural stability analysis [41].…”

Section: State-of-the-artmentioning

confidence: 99%

“…The conventional kinematic criteria alone cannot estimate the intensity/degree of the failure potential; therefore, a different method is needed to quantify the degree of vulnerability of a failure element. The existing quantitative methods are often based on the number of discontinuities, which undergo Markland's test to give results of either zero or one [30,[36][37][38]61]. The susceptibility estimation in these methods is based on the manipulation of the number of zeros or ones obtained out of numerous failure elements.…”

Section: Kinematic Susceptibilitymentioning

confidence: 99%

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A GIS-Based Kinematic Analysis for Jointed Rock Slope Stability: An Application to Himalayan Slopes

Kundu

Sarkar

Ghaderpour

et al. 2023

Land

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GIS-based kinematic stability analysis in rock slopes is a rare practice in geological engineering despite its immense potential to delineate unstable zones in a mountainous region. In this article, we have used a GIS-based modified technique to assess the efficiency of kinematic analysis in predicting shallow landslides in the rock slopes of the Himalayan mountains on a regional scale. The limited use of this technique is primarily due to the complexities involved in its practical application. To make this technique more effective and convenient usability, we present modified methods and a new application, ‘GISMR’, that works with the aid of GIS software for the determination of kinematic susceptibility. A modified kinematic analysis method was implemented to define the stability in terms of failure susceptibility on a scale of 0 to 100 rather than a conservative result, such as failure or non-failure. We also present another functionality of the GISMR that provides optimised slope angles over a region. This functionality could aid the decision-making process when selecting a suitable location for a road path or other engineering constructions that are impacted by unstable mountain slopes. The applicability of this new method was demonstrated in a rock failure-prone region in the mountains of the Indian Himalayas. The outcomes delineate the unstable slopes in the region, which are intersected by a strategic National Highway 05 and have a long history of landslide-related hazards. It was found that 9.61% of the area is susceptible to failure. However, 2.28% is classified as a low susceptible region, and 2.58% of the area is very-low susceptible. The regions with moderately high, high, and very-high susceptibility cover 2.78%, 1.49%, and 0.46% of the whole area, respectively. The results were evaluated by receiver operating characteristic curve and a frequency ratio method to represent the association between kinematic susceptibility and the mass movement inventory in the area. It is concluded that kinematic susceptibility has a strong relationship with landslide activity in the rock slopes of the Himalayan region.

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