Development of a probabilistic approach for rock wedge failure

Park, H; West, Terry R.

doi:10.1016/s0013-7952(00)00076-4

Cited by 125 publications

(43 citation statements)

References 10 publications

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“…Moreover, there are so many researches about probabilistic models for analyzing rock block stability using joints features. The rock block stability is mainly dependent upon the characteristics of discontinuities; the random properties of discontinuities play a critical role in probabilistic analysis of rock stability (Park and West, 2000). The rock blocks generated from the joints are analyzed for their volume, height, perimeter, safety factor and probability of occurrence (Songa et al, 2001).…”

Section: Stability Analysis Of Rock Blockmentioning

confidence: 99%

The effect of discontinuities on stability of rock blocks in tunnel

Keykha¹

2011

Afr. J. Bus. Manage.

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This paper presents the results of an investigation that was carried out using important parameters, such as discontinuities in forming rock block and instability in tunnel. Discontinuities like bedding and joints are one of the most important factors when compared with parameters, such as engineering features of rock mass. In this review, numerous features like rock quality designation (RQD), rock classification (RMR), stress and strain and distributions of discontinuities in a sample tunnel were evaluated. However, most of them were suitable in the tunnel, but because of the creation of more intersection points in critical zone, the movement of blocks in tunnel roof and wall of the tunnel are possible. It also demonstrates simple factors such as step-over joints in rock mass, having important effect in instability.

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Section: Stability Analysis Of Rock Blockmentioning

confidence: 99%

The effect of discontinuities on stability of rock blocks in tunnel

Keykha¹

2011

Afr. J. Bus. Manage.

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“…To account for these uncertainties, a probabilistic approach has been investigated and used in slope stability analysis at both site-specific and regional scales [76,[79][80][81][82][83][84][85][86][87]. Probabilistic analysis has been used for representing uncertainty in the failure model and in the material properties.…”

Section: Introductionmentioning

confidence: 99%

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

2017

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Abstract:The physically based model has been widely used in rainfall-induced shallow landslide susceptibility analysis because of its capacity to reproduce the physical processes governing landslide occurrence and a higher predictive capability. However, one of the difficulties in applying the physically based model is that uncertainties arising from spatial variability, measurement errors, and incomplete information apply to the input parameters and analysis procedure. Uncertainties have been recognized as an important cause of mismatch between predicted and observed distributions of landslide occurrence. Therefore, probabilistic analysis has been used to quantify the uncertainties. However, some uncertainties, because of incomplete information, cannot be managed satisfactorily using a probabilistic approach. Fuzzy set theory is applicable in this case. In this study, in order to handle uncertainty propagation through a physical model, fuzzy set theory, coupled with the vertex method and the point estimate method, was adopted for regional landslide susceptibility assessment. The proposed approach was used to evaluate susceptibility to rainfall-induced shallow landslides for a regional study area, and the analysis results were compared with landslide inventory to evaluate the performance of the proposed approach. The AUC values arising from the landslide susceptibility analyses using the proposed approach and probabilistic analysis were 0.734 and 0.736, respectively. However, when the COV values of the input parameters were reduced, the AUC values of the proposed approach and the probabilistic analysis were reduced to 0.722 and 0.688, respectively. It means that the performance of the fuzzy approach is similar to that of probabilistic analysis but is more robust against variation of input parameters. Thus, at catchment scale, the fuzzy approach can respond appropriately to the uncertainties inherent in physically based landslide susceptibility analysis, and is especially advantageous when the amount of quality data is very limited.

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“…Jimenez-Rodriguez and Sitar 2006b;Tokhmechi et al 2011). In addition, calibrated networks have been employed to characterize rock masses for different engineering applications, such as the design of underground nuclear repositories (Munier 2004;Kulatilake et al 1993Kulatilake et al , 2003, analyses of groundwater flow (Meyer and Einstein 2002) and analysis of the formation of removable and unstable blocks in underground excavations (Kuszmaul 1999;Dershowitz and Carvalho 1996;Song et al 2001;Starzec and Andersson 2002) and in slopes (Jimenez-Rodriguez and Sitar 2008;Park et al 2005;Park and West 2001).…”

Section: Introductionmentioning

confidence: 99%

A Simple Genetic Algorithm for Calibration of Stochastic Rock Discontinuity Networks

Jimenez

Jurado-Piña

2012

Rock Mech Rock Eng

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We present a novel approach for calibration of stochastic discontinuity network parameters based on genetic algorithms (GAs). To validate the approach, examples of application of the method to cases with known parameters of the original Poisson discontinuity network are presented. Parameters of the model are encoded as chromosomes using a binary representation, and such chromosomes evolve as successive generations of a randomly generated initial population, subjected to GA operations of selection, crossover and mutation. Such backcalculated parameters are employed to make assessments about the inference capabilities of the model using different objective functions with different probabilities of crossover and mutation. Results show that the predictive capabilities of GAs significantly depend on the type of objective function considered; and they also show that the calibration capabilities of the genetic algorithm can be acceptable for practical engineering applications, since in most cases they can be expected to provide parameter estimates with relatively small errors for those parameters of the network (such as intensity and mean size of discontinuities) that have the strongest influence on many engineering applications.

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Development of a probabilistic approach for rock wedge failure

Cited by 125 publications

References 10 publications

The effect of discontinuities on stability of rock blocks in tunnel

The effect of discontinuities on stability of rock blocks in tunnel

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

A Simple Genetic Algorithm for Calibration of Stochastic Rock Discontinuity Networks

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