Probabilistic Slope Stability Evaluation Using Hybrid Metaheuristic Approach

Zeng, Xinhua; Khajehzadeh, Mohammad; Iraji, Amin; Keawsawasvong, Suraparb

doi:10.3311/ppci.20502

Cited by 2 publications

(2 citation statements)

References 35 publications

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“…According to the statistical criteria (i.e., R, MAPE, RMSE, and VAF), the SVR method has higher accuracy than other methods. Because SVR uses the principle of minimizing structural risk and adapting the ability of the model to existing training data [49,50]. The size of inputs also affects the accuracy of the methods.…”

Section: Comparison Of Used Methodsmentioning

confidence: 99%

Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods

Zheng

Shen

Motahari

et al. 2023

Period. Polytech. Civil Eng.

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The tensile strength of the rocks is one of the effective factors in the rupture of structure foundations and underground spaces, the stability of rocky slopes, and the ability to drill and explode in rocks. This research was conducted to estimate tensile strength using methods such as simple regression (SR), multivariate linear regression (MVLR), support vector regression (SVR) with radial basis kernel function, multilayer feed-forward artificial neural network (MFF-ANN), Gaussian process regression (GPR) using squared exponential kernel (SEK) function, and adaptive neuro-fuzzy inference system (ANFIS) based on Gaussian membership function. For this purpose, petrography, and engineering features of the limestone, sandstone, and argillaceous limestone samples in the south of Iran, were assessed. The results obtained from this study were compared with those of previous research, revealing a strong correlation (R2=0.95 to 1.00) between our findings and the published works. To estimate Brazilian tensile strength (BTS), the index properties including water absorption by weight, point load index (PLI), porosity%, P-wave velocity (Vp), and density were considered as inputs. Methods were compared using various criteria. The SVR precision (R=0.96) was higher than MFF-ANN (R=0.92), ANFIS (R=0.95), GPR (R=0.945), and MVLR (R=0.89) to estimate the tensile strength. The average BTS measured in the laboratory and predicted by all 5 methods is 6.62 and 6.71 MPa, respectively, which shows the very high precision of the investigated methods. Analysis of model criteria using statistical analysis for developed relationships revealed that there is sufficient accuracy to use the empirical equations.

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Section: Comparison Of Used Methodsmentioning

confidence: 99%

Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods

Zheng

Shen

Motahari

et al. 2023

Period. Polytech. Civil Eng.

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“…In their research, Zeng et al [11] formulated the factor of safety using the Morgenstern and Price approach that is implemented in the reliability calculation model. The soil parameters are considered random.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of the Slope Stability of Homogeneous Earth Dam under Seismic Loading

Belazouz,

Bouzelha,

Hammoum

et al. 2023

Period. Polytech. Civil Eng.

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Earth dams are widespread throughout the world and their safety is the overriding concern of civil engineers, especially in regions with high seismic activity. This contribution presents a deterministic and reliability-based approach of the slope stability analysis of homogeneous earth dam under seismic loading. The hydrostatic loading as well as the saturation line in the dam body is considered for different design situations to investigate the effects of water level fluctuations on earth dam slope stability. Seismic loading is introduced by horizontal and vertical pseudo-static forces, while the considered failure mode is circular slip, analyzed with the classical method of slices. Given the nature of the soils, uncertainties about their properties must be considered in the assessment of the slope stability. These uncertainties can be quantified by a reliability analysis. The proposed reliability method is approached by the failure probability assessment of the slope stability of an earth dam based on Monte-Carlo simulation. The used random variables are the mechanical shear properties of the embankment body as well as the acceleration coefficient of the seismic zone. For the failure probability evaluation, the log-normal distribution law was used to generate the random variables. A computer program was developed using Matlab®. The developed approach was applied, for a practical example, to analyze the slope stability of an earthen dam located in Médéa (Algeria), whose dimensions are realistic. The results obtained with the developed analytical model were compared with those obtained with the Flac2D© software. The confrontation turned out to be satisfying.

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Probabilistic Slope Stability Evaluation Using Hybrid Metaheuristic Approach

Cited by 2 publications

References 35 publications

Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods

Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods

Reliability Analysis of the Slope Stability of Homogeneous Earth Dam under Seismic Loading

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