Probabilistic assessment of slope stability for earth-fill dams having random soil parameters

Calamak, M. and Yanmaz, A. M. (2014). Probabilistic assessment of slope stability for earth-fill dams having random soil parameters. In: Hubert Chanson and Luke Toombes, Hydraulic structures and society - Engineering challenges and extremes. 5th IAHR International Symposium on Hydraulic Structures, Brisbane, Australia, (1-9). 25-27 June 2014. doi:10.14264/uql.2014.16

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Author Calamak, M.
Yanmaz, A. M.
Title of paper Probabilistic assessment of slope stability for earth-fill dams having random soil parameters
Conference name 5th IAHR International Symposium on Hydraulic Structures
Conference location Brisbane, Australia
Conference dates 25-27 June 2014
Proceedings title Hydraulic structures and society - Engineering challenges and extremes
Journal name ISHS 2014 - Hydraulic Structures and Society - Engineering Challenges and Extremes: Proceedings of the 5th IAHR International Symposium on Hydraulic Structures
Place of Publication Brisbane, Australia
Publisher The University of Queensland
Publication Year 2014
Year available 2014
Sub-type Fully published paper
DOI 10.14264/uql.2014.16
Open Access Status DOI
ISBN 9781742721156
Editor Hubert Chanson
Luke Toombes
Start page 1
End page 9
Total pages 9
Language eng
Abstract/Summary This paper deals with probabilistic slope stability analyses of earth-fill dams. Hydraulic conductivity, unit weight, cohesion and internal friction angle of the soil are considered as random variables. Seepage flow through the dam body is solved by Monte Carlo simulation method (MCSM). Reliability analyses of both upstream and downstream slopes of the dam are performed with reference to variations in pore water pressure using MCSM. Five different limit equilibrium methods are utilized for slope stability calculations. Soil sampling frequency is shown to be an important issue in the analyses. Also, the effect of stochastic seepage flow model on slope stability analysis is investigated. Deterministic seepage flow model is proved to cause underestimated reliability indices in probabilistic slope stability analysis.
Keyword Spatial variability
Stochastic seepage analysis
Monte Carlo simulation
Reliability index
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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Created: Mon, 12 May 2014, 15:57:14 EST by Anthony Yeates on behalf of Scholarly Communication and Digitisation Service