Briefing: Slope stability of earthfill dams: a case study of Kızılca dam

2004 ◽  
Vol 157 (1) ◽  
pp. 3-7 ◽  
Author(s):  
S. N. Keskin ◽  
U. S. Cavus ◽  
H. Yıldırım
Keyword(s):  
Slope Stability ◽  
Earthfill Dams

Optimized Based on Cloud Model Extension Assessment of Slope Stability

2010 ◽  
Vol 163-167 ◽  
pp. 2709-2714
Author(s):  
Feng Guo ◽  
Wei Ya Xu ◽  
Fei Xu
Keyword(s):  
Slope Stability ◽  
Cloud Model ◽  
Assessment Model ◽  
Actual State ◽  
Hydropower Project ◽  
Model Extension ◽  
Project Construction ◽  
The One ◽  
Cloud Model Theory

Evaluation of slope stability in the hydropower project construction is extremely important. This Cloud Model will be introduced to the matter-element extension, the extension assessment is proposed based on the sutra field division of the slope stability assessment model. This method combines the Cloud Model theory and the advantages of the extension assessment .On the one hand, the division of the sutra field by means of Cloud Model can overcome the "hard" division of the evils. On the other hand,with different values of Cloud Drops as a sutra field, the statistical results of Cloud Drops can be used as last stable assessment results. Project case study shows that compared with the conventional method, results of the method of extension are more accurate, which fully accorded with the actual state, proving optimized based on Cloud Model extension assessment of slope stability feasible and effective.

scholarly journals Liquefaction, Landslide and Slope Stability Analyses of Soils: A Case Study of Soils from Part of Kwara, Kogi and Anambra States of Nigeria

2019 ◽  
Vol 14 (13) ◽  
pp. 4387-4404 ◽  
Author(s):  
Omoniyi Olusegun Ige ◽  
Tolulope Oyeleke ◽  
Christopher Baiyegunhi ◽  
Temitope Love Baiyegunhi
Keyword(s):  
Slope Stability ◽  
Stability Analyses

scholarly journals Does parameterization influence the performance of slope stability model results? A case study in Rio de Janeiro, Brazil

Landslides ◽  
2016 ◽  
Vol 14 (4) ◽  
pp. 1389-1401 ◽  
Author(s):  
Carolina de Lima Neves Seefelder ◽  
Sérgio Koide ◽  
Martin Mergili
Keyword(s):  
Slope Stability ◽  
Rio De Janeiro ◽  
Stability Model

A Review on Enhanced Stability Analyses of Soil Slopes Using Statistical Design

2018 ◽  
pp. 446-481
Author(s):  
Srđan Kostić
Keyword(s):  
Slope Stability ◽  
External Validation ◽  
Statistical Design ◽  
Estimation Accuracy ◽  
Rupture Surface ◽  
Stability Of Slopes ◽  
Mathematical Expressions ◽  
Grid Search Method ◽  
Homogeneous Soil

This chapter deals with the application of experimental design in slope stability analysis. In particular, focus of the present chapter is on the application of Box-Behnken statistical design for assessment of stability of slopes in homogeneous soil (general case), for estimation of slope stability in clay-marl deposits at the edge of Neogene basins (case study) and for the extension of grid search method for locating the critical rupture surface. Extensive statistical analysis, internal and external validation imply high estimation accuracy and reliability of developed mathematical expressions for slope safety factor and for parameters of location of critical rupture surface. Main advantages and limitations of the proposed approach are thoroughly discussed with suggestions for main directions of further research.

scholarly journals An Improved Strength Reduction-Based Slope Stability Analysis

Geosciences ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 55 ◽  
Author(s):  
S. Seyed-Kolbadi ◽  
J. Sadoghi-Yazdi ◽  
M. Hariri-Ardebili
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Limit State ◽  
Spectral Element ◽  
Strength Reduction ◽  
Analysis Model ◽  
Weak Layer ◽  
The Road ◽  
Coulomb Failure Criterion

Slope uncertainty predominantly originates from the imperfect analysis model and the inaccuracy and imprecision of the observations. The strength reduction method (SRM) is widely used to attain the safety factor (SF) of the slopes, which is similar to interpretation of the limit state (LS). In this paper, the spectral element method (SEM), using an elasto-plastic Mohr–Coulomb failure criterion, is employed to project the plausible LS of the soil slopes. An iterative SRM search method is proposed to evaluate the SF of the slopes regardless of the LS interpretation. The proposed SRM paradigm encompasses the design trigger to trace the uncertain parameters in decision-making. This method is applied to three numerical examples: (1) a homogeneous dry slope, (2) a dry slope with a weak layer, and (3) a partially-wet slope with a weak layer. It is shown that for the case study examples, the proposed SRM reasonably converges to the required precision. Results further are compared and contrasted with some of the conventional and standard techniques in slope stability. This hybrid procedure paves the road for fast and safe stability analysis of man-made and natural slopes.

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