Research for Slope Structural Reliability Based on Probability Theory

Yun Lian Song; Jing Yu; Min Lin

doi:10.4028/www.scientific.net/AMR.243-249.5167

Paper Titles

The Influence of Seismic Input in the Oblique Direction on the Strong-Column Weak-Beam Mechanism for RC Frame
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Analysis on Influence of Earthquake Motion to Loess Slope Stability
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Analysis on Wave-Induced Circular Shearing Failure of Submarine Slope at Coastal Estuaries
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The Study of Wind Load Characteristics of Round Earth Building Roof Based on Wind Tunnel Test and Numerical Simulation
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Damage Analysis for Steel Frames under Explosive Loads
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Contrastive Analysis of the Mechanics Behavior of Concrete-Filled Rectangular Steel Tube Frame Structure with Filler Wall
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Dynamic Analysis of the Double Tower Connected Structure under Earthquake Action
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 243-249Research for Slope Structural Reliability Based on...

Research for Slope Structural Reliability Based on Probability Theory

Abstract:

Based on A.W.Bishop Method and Monte Carlo Method (MCM), slope structural reliability has been researched in this paper. These random variables include unit weight γ, internal friction angle φ and cohesion c of soil. The calculation result shows that the influence correlates to the contribution of random variable to skid resistance of slope structure, namely, the fluctuation of variable with great contribution can give great influence to safety factor K and failure probability P_f, and vice versa. Moreover, P_f is more sensitive to variable φ than to γ and c. In addition, if the fluctuation of above three variables has been considered simultaneously, the influence to P_f is sensitive when their fluctuation is within narrow range, but the influence is mainly controlled by variable φ when their fluctuation is within large range and this influence is nearly the result based on variable φ alone. This shows that internal friction angle φ plays the important role in slope structural reliability and shouldn’t be neglected.

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Periodical:

Advanced Materials Research (Volumes 243-249)

Pages:

5167-5170

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.243-249.5167

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Online since:

May 2011

Authors:

Yun Lian Song, Jing Yu, Min Lin

Keywords:

Failure Probability, Monte-Carlo, Random Variable, Safety Factor, Slope Reliability

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