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

Author(s):  
Srđan Kostić

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.

2020 ◽  
Vol 100 (3) ◽  
pp. 1013-1036 ◽  
Author(s):  
Matthew Wilson ◽  
Sandi Lane ◽  
Raghuveer Mohan ◽  
Margaret Sugg

2019 ◽  
Vol 1425 ◽  
pp. 012016
Author(s):  
D A Sagdullayeva ◽  
Sh A Maxmudova ◽  
F F Adilov ◽  
R A Abirov ◽  
I O Khazratkulov ◽  
...  
Keyword(s):  

2010 ◽  
Vol 163-167 ◽  
pp. 2709-2714
Author(s):  
Feng Guo ◽  
Wei Ya Xu ◽  
Fei Xu

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.


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

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