Reliability analysis of stability against piping and sliding in diversion dams, considering four cutoff wall configurations
The stability against piping and sliding, which is subject to numerous sources of uncertainty, is of great importance in the design of diversion dams. In this study, the performance of four cutoff wall configurations, including a single wall and two walls with half the length of the single wall, was...
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| Published in | Computers and geotechnics Vol. 98; pp. 217 - 231 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Elsevier Ltd
01.06.2018
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0266-352X 1873-7633 |
| DOI | 10.1016/j.compgeo.2018.02.019 |
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| Abstract | The stability against piping and sliding, which is subject to numerous sources of uncertainty, is of great importance in the design of diversion dams. In this study, the performance of four cutoff wall configurations, including a single wall and two walls with half the length of the single wall, was evaluated stochastically using the random finite element method. The Cholesky decomposition technique in conjunction with three types of Auto-Correlation Function (ACF) was employed to generate numerous random fields. The results indicate that the probabilities of failure related to different cutoff wall configurations are similar, considering isotropic hydraulic conductivity. However, there are noticeable differences between the probabilities of failure of these configurations in anisotropic situations. Moreover, the use of a single cutoff wall on the upstream face of an impervious blanket provides the lowest probability of failure for piping. In addition, the exponential ACF ends up with greater exit hydraulic gradients than the second-order Markov and binary noise ACFs. In addition, the sliding stability of the ordinary and earthquake load combinations was examined stochastically using random field theory and Monte Carlo Simulation (MCS). The probability of failure appears to increase with an increase in the autocorrelation distance. |
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| AbstractList | The stability against piping and sliding, which is subject to numerous sources of uncertainty, is of great importance in the design of diversion dams. In this study, the performance of four cutoff wall configurations, including a single wall and two walls with half the length of the single wall, was evaluated stochastically using the random finite element method. The Cholesky decomposition technique in conjunction with three types of Auto-Correlation Function (ACF) was employed to generate numerous random fields. The results indicate that the probabilities of failure related to different cutoff wall configurations are similar, considering isotropic hydraulic conductivity. However, there are noticeable differences between the probabilities of failure of these configurations in anisotropic situations. Moreover, the use of a single cutoff wall on the upstream face of an impervious blanket provides the lowest probability of failure for piping. In addition, the exponential ACF ends up with greater exit hydraulic gradients than the second-order Markov and binary noise ACFs. In addition, the sliding stability of the ordinary and earthquake load combinations was examined stochastically using random field theory and Monte Carlo Simulation (MCS). The probability of failure appears to increase with an increase in the autocorrelation distance. |
| Author | Torabi Haghighi, Ali Hekmatzadeh, Ali Akbar Johari, Ali Zarei, Farshad |
| Author_xml | – sequence: 1 givenname: Ali Akbar surname: Hekmatzadeh fullname: Hekmatzadeh, Ali Akbar email: hekmatzadeh@sutech.ac.ir organization: Department of Civil and Environmental Engineering, Shiraz University of Technology, Po. Box 71555-313, Shiraz, Iran – sequence: 2 givenname: Farshad surname: Zarei fullname: Zarei, Farshad organization: Department of Civil and Environmental Engineering, Shiraz University of Technology, Po. Box 71555-313, Shiraz, Iran – sequence: 3 givenname: Ali surname: Johari fullname: Johari, Ali organization: Department of Civil and Environmental Engineering, Shiraz University of Technology, Po. Box 71555-313, Shiraz, Iran – sequence: 4 givenname: Ali surname: Torabi Haghighi fullname: Torabi Haghighi, Ali organization: Water Resources and Environmental Engineering Research Group, University of Oulu, PO Box 4300, FIN-90014, Finland |
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| Keywords | Auto-correlation function Random finite element method Piping Probability of failure Sliding stability Diversion dam |
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| SubjectTerms | Auto-correlation function Autocorrelation Computer simulation Configurations Cut-off Dam design Dam engineering Dam stability Dams Data processing Diversion dam Diversion dams Earthquake loads Earthquakes Failure Field theory Fields (mathematics) Finite element analysis Finite element method Markov processes Monte Carlo simulation Piping Probability of failure Probability theory Random finite element method Reliability Reliability analysis Seismic activity Seismic stability Sliding Sliding stability Slumping Stability analysis Statistical methods |
| Title | Reliability analysis of stability against piping and sliding in diversion dams, considering four cutoff wall configurations |
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