Reliability-Based Stability Analysis of Rock Slopes Using Numerical Analysis and Response Surface Method

Dadashzadeh, N.; Düzgün, Şebnem; Yesiloglu-Gultekin, N.

doi:10.1007/s00603-017-1206-2

Cited by 29 publications

(12 citation statements)

References 31 publications

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“…Over the past few decades, reliability analysis of slope stability has attracted significant research attention (Christian et al 1994;Low 1997;Park and West 2001;Duzgun et al 2003;Jimenez-Rodriguez et al 2006;Hoek 2007;Low 2007;Li et al 2009;Tang et al 2013;Dadashzadeh et al 2017;Aladejare and Wang 2018). Different past research works on reliability of rock slope have attempted to address one or more shortcomings of previous methods, ranging from treating rock parameters as random variables to incorporating correlation between shear strength parameters of rocks in reliability analysis of rock slopes (Low 2007;Li et al 2009;Tang et al 2013;Dadashzadeh et al 2017;Aladejare and Wang 2018). Generally, the reliability of slope stability is frequently evaluated by a reliability index, b or slope probability of failure P f , which is defined as the probability that the minimum factor of safety (FS) is less than a reference value, say a unity for instance.…”

Section: Introductionmentioning

confidence: 99%

Design and Sensitivity Analysis of Rock Slope Using Monte Carlo Simulation

Aladejare

Akeju

2019

Geotech Geol Eng

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A probabilistic approach that is based on Monte Carlo simulation (MCS) was developed in this study to design and perform sensitivity analysis of rock slope. The probabilistic approach uses MCS to perform a series of single objective optimizations for design of rock slope and to perform sensitivity analysis of rock slope stability. The MCS-based approach was used to evaluate the failure probability of a rock slope system and to determine a safe maximum slope height for rock slope design. To achieve this, the performance of different rock properties and rock slope conditions were explicitly considered towards achieving the target reliability index of the rock slope. The approach can achieve multiple rock slope design specifications using different target reliability indexes from a single run of MCS. The proposed probabilistic approach was illustrated through an example of rock slope design to determine feasible designs under different rock slope conditions. Also, sensitivity studies were performed to explore the effects of uncertainties in tension crack depth and water depth in tension crack, and variability in rock unit weight. The results show that the effects of uncertainties and variability on rock slope stability can be significant and should be incorporated during design analysis. Incorporating such uncertainties and variability in rock slope design is achieved with relative ease using the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Design and Sensitivity Analysis of Rock Slope Using Monte Carlo Simulation

Aladejare

Akeju

2019

Geotech Geol Eng

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“…Mohr-Coulomb failure criterion. The grid size of the model was between 0.5 and 1.0 m [24]. The Mohr-Coulomb failure criterion was used for the rock and coal mass [25].…”

Section: The Constitutive Model Of the Caving Zonementioning

confidence: 99%

“…As shown in figure 6, a two-dimensional plane model was established with the length of 343.3 m and the height of 24.3 m according to the geological conditions of the 8311 working face in Tashan Coal Mine. The grid size of the model was between 0.5 and 1.0 m [24]. The Mohr-Coulomb failure criterion was used for the rock and coal mass [25].…”

Section: The Numerical Modelmentioning

confidence: 99%

Research on stress release for the gob-side roadway using the roof-cutting technology with a chainsaw arm

Tai

Xia

et al. 2020

R. Soc. open sci.

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“…Therefore, additional information was used to overcome the limitations, such as the rebound value of both the block and the slope material, the impact velocity, and the block mass [8]. In addition to the assessment of rock slope stability with the effects of weathering, the rock was modeled by some shear properties (such as resistance, displacement, incident velocity, and stress along the rocks' interconnecting areas [9][10][11][12]. Several approaches are reported in the literature to model several assessment methods that evaluated rock-fall hazards.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Early Warning System for Rock-Fall Risks Reduction

et al. 2021

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Rock-fall is a natural threat resulting in many annual economic costs and human casualties. Constructive measures including detection or prediction of rock-fall and warning road users at the appropriate time are required to prevent or reduce the risk. This article presents a hybrid early warning system (HEWS) to reduce the rock-fall risks. In this system, the computer vision model is used to detect and track falling rocks, and the logistic regression model is used to predict the rock-fall occurrence. In addition, the hybrid risk reduction model is used to classify the hazard levels and delivers early warning action. In order to determine the system’s performance, this study adopted parameters, namely overall prediction performance measures, based on a confusion matrix and reliability. The results show that the overall system accuracy was 97.9%, and the reliability was 0.98. In addition, a system can reduce the risk probability from (6.39 × 10−3) to (1.13 × 10−8). The result indicates that this system is accurate, reliable, and robust; this confirms the purpose of the HEWS to reduce rock-fall risk.

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Reliability-Based Stability Analysis of Rock Slopes Using Numerical Analysis and Response Surface Method

Cited by 29 publications

References 31 publications

Design and Sensitivity Analysis of Rock Slope Using Monte Carlo Simulation

Design and Sensitivity Analysis of Rock Slope Using Monte Carlo Simulation

Research on stress release for the gob-side roadway using the roof-cutting technology with a chainsaw arm

Hybrid Early Warning System for Rock-Fall Risks Reduction

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