Dynamic reliability analysis of slopes based on the probability density evolution method
Earthquake ground motions display random behavior; therefore, it is necessary to investigate the seismic response of engineering structures using stochastic analysis methods. The probability density evolution method (PDEM) is applied in stochastic seismic response analysis and dynamic reliability ev...
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Published in | Soil dynamics and earthquake engineering (1984) Vol. 94; pp. 1 - 6 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Barking
Elsevier Ltd
01.03.2017
Elsevier BV |
Subjects | |
Online Access | Get full text |
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Summary: | Earthquake ground motions display random behavior; therefore, it is necessary to investigate the seismic response of engineering structures using stochastic analysis methods. The probability density evolution method (PDEM) is applied in stochastic seismic response analysis and dynamic reliability evaluation of slope stability. Combining PDEM with finite-element dynamic time-series analysis, this study analyses the stochastic seismic response of a slope under random earthquake ground motion. Comparison between the results of the Monte Carlo stochastic simulation and PDEM analysis demonstrates the effectiveness and high precision of the PDEM method. We assess the stability of the slope under earthquake conditions using the safety factor criterion to obtain the stability probability of the slope. Compared with traditional equilibrium methods, the reliability analysis can directly reflect the failure probability and degree of safety of the slope, demonstrating a novel approach to slope stability assessment using a random dynamic method.
•The seismic dynamic stability of slope was analyzed in light of time history dynamic analysis.•Affluent probability information of slope stability under earthquake loading was obtained.•The calculation precision and time of PDEM were compared with Monte Carlo stochastic simulation.•The seismic stability of the slope was assessed from the reliability viewpoint. |
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ISSN: | 0267-7261 1879-341X |
DOI: | 10.1016/j.soildyn.2016.11.011 |