Assessment of rock slope stability using GIS-based probabilistic kinematic analysis

Park, Hyuck‐Jin; Lee, Jung-Hyun; Kim, Kang-Min; Um, Jeong-Gi

doi:10.1016/j.enggeo.2015.08.021

Cited by 50 publications

(20 citation statements)

References 31 publications

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“…Due to in-built powerful functions and tools, Geographic Information System (GIS) has been applied more and more widely in landslide hazard assessment [13][14][15][16][17][18][19][20][21]. Some researchers used GIS, incorporating with the mechanical analysis model, to perform regional slope stability analysis [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Regional Stability Analysis of Red Clay Slope Based on Different Failure Modes: A Case Study in Taizaifu Area, Fukuoka

Fang

2019

Advances in Civil Engineering

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Red clay slopes have different failure modes in different geological and climatic contexts. Underlying weak layers are frequently witnessed in integral failures because of the reverse consolidation characteristics. On the contrary, heavy rainfall often causes superficial sliding for a considerable infiltration through developed microfractures. Based on the Geographic Information System, regional stability of red clay slopes was evaluated with two failure modes, such as “integral sliding” and “planar sliding.” First, terrain and borehole data of the study area were used to construct the digital elevation model. Second, slope units were partitioned as research objects. For integral sliding, the slip surface was supposed to lie above the strata interface, and it was regarded as a lower part of an ellipsoid. After calculating safety factors of potential slip surfaces that were randomly generated by the Monte Carlo method, the minimum safety factor of the slope unit and the critical slip surface could be determined. For shallow landslides triggered by rainfall infiltration, the one-dimensional infiltration model and infinite slope model were used. Moreover, the difference between the sliding direction of each column and the main aspect of entire slope unit was considered in safety factor calculation. Finally, regional slope stability characterized by the safety factor would be available; thus, it would be beneficial to sliding prevention and disaster treatment in this region.

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Section: Introductionmentioning

confidence: 99%

Regional Stability Analysis of Red Clay Slope Based on Different Failure Modes: A Case Study in Taizaifu Area, Fukuoka

Fang

2019

Advances in Civil Engineering

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“…The proposed method uses these solutions and accordingly relies on this hypothesis. Although the dip direction and dip angle are dependent for some discontinuities like bedding planes in plunging folds 56 , there are several cases that consider them as independent variables 17 34 35 36 42 43 44 57 58 59 60 . For this reason, it is necessary to check whether the observed orientation sample meets the independence hypothesis before using the proposed method.…”

Section: Methodsmentioning

confidence: 99%

A novel method for correcting scanline-observational bias of discontinuity orientation

Huang

Tang

Tan

et al. 2016

Sci Rep

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Scanline observation is known to introduce an angular bias into the probability distribution of orientation in three-dimensional space. In this paper, numerical solutions expressing the functional relationship between the scanline-observational distribution (in one-dimensional space) and the inherent distribution (in three-dimensional space) are derived using probability theory and calculus under the independence hypothesis of dip direction and dip angle. Based on these solutions, a novel method for obtaining the inherent distribution (also for correcting the bias) is proposed, an approach which includes two procedures: 1) Correcting the cumulative probabilities of orientation according to the solutions, and 2) Determining the distribution of the corrected orientations using approximation methods such as the one-sample Kolmogorov-Smirnov test. The inherent distribution corrected by the proposed method can be used for discrete fracture network (DFN) modelling, which is applied to such areas as rockmass stability evaluation, rockmass permeability analysis, rockmass quality calculation and other related fields. To maximize the correction capacity of the proposed method, the observed sample size is suggested through effectiveness tests for different distribution types, dispersions and sample sizes. The performance of the proposed method and the comparison of its correction capacity with existing methods are illustrated with two case studies.Rockmass is a discrete medium composed of rock material and discontinuities including faults, fractures, joints, veins, bedding planes, cleavage planes, and schistosity planes, among others. Such discontinuities dominate the kinematical and mechanical behaviour of engineering rockmass [1][2][3][4][5] , with the analysis of this behaviour extending to various applications in such areas as rockmass stability evaluation, rockmass permeability analysis, rockmass quality calculation and other related fields, using three-dimensional rockmass models frequently generated via discrete fracture network (DFN) modelling with input geometrical variables including orientation [6][7][8][9][10][11][12][13][14][15] . These orientations are primarily measured on fresh rock exposures, with previous studies reporting various representative techniques [16][17][18][19]

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“…It has been realized later that the combination of different probabilistic methods can yield better assessments, such as the hybrid model of the projection pursuit (PP), particle swarm optimization (PSO), and the logistic curve function (LCF) [21]. The probabilistic methods have also been introduced into different failure criterions and verified against physical models to overcome the limitation of conventional methods without considering randomness and uncertainty of the slope status and mechanical parameters [22][23][24][25][26][27][28]. With the effort for probabilistic sensitivity analysis, more sophisticated models led to improved accuracy of assessment [29]; however, huge challenges remain in the high computational effort, complex modeling procedures, and the large amount of data required to yield results with acceptable accuracy.…”

Section: Introductionmentioning

confidence: 99%

Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

Zhou

et al. 2019

Applied Sciences

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The stability of natural rock slopes is influenced by a wide spectrum of factors, such as mechanical properties of bedrocks and spatial distribution of discontinuities. Their specific values are typically incomplete, due mainly to the lack of effective and comprehensive methods to accurately characterize these factors, especially those inside of the slopes. The neutrosophic number is a useful tool to solve problems in indeterminate environment. This study introduces the neutrosophic theory into slope stability assessment. A vector similarity measure developed under neutrosophic environment was employed to establish a stability assessment method considering multilevel attributes of slopes. Using this method, the level of stability for studied slopes, i.e., stable, mostly stable, less stable, and instable, was determined by computing the relation indices. The method was applied to a group of rock slopes located in Zhejiang province, China, and the calculated results were compared with the reality of in situ survey. The field application showed that the developed method has a good efficiency and precision in assessing the stability of rock slopes. The obtained weight vector can reveal the key influential parameters that inherently control the stability of rock slopes.

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Assessment of rock slope stability using GIS-based probabilistic kinematic analysis

Cited by 50 publications

References 31 publications

Regional Stability Analysis of Red Clay Slope Based on Different Failure Modes: A Case Study in Taizaifu Area, Fukuoka

Regional Stability Analysis of Red Clay Slope Based on Different Failure Modes: A Case Study in Taizaifu Area, Fukuoka

A novel method for correcting scanline-observational bias of discontinuity orientation

Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

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