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Probabilistic seismic slope stability assessment of geostructures

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dc.contributor.author Tsompanakis, Y en
dc.contributor.author Lagaros, ND en
dc.contributor.author Psarropoulos, PN en
dc.contributor.author Georgopoulos, EC en
dc.date.accessioned 2014-03-01T01:34:21Z
dc.date.available 2014-03-01T01:34:21Z
dc.date.issued 2010 en
dc.identifier.issn 1573-2479 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20707
dc.subject Fragility curves en
dc.subject Geostructures en
dc.subject Monte Carlo simulation en
dc.subject Probabilistic analysis en
dc.subject Slope stability en
dc.subject.classification Engineering, Civil en
dc.subject.classification Engineering, Mechanical en
dc.subject.other Demand values en
dc.subject.other Earth structures en
dc.subject.other Empirical approach en
dc.subject.other Fragility curves en
dc.subject.other Geostructures en
dc.subject.other Intensity levels en
dc.subject.other Limit state en
dc.subject.other Log-normal en
dc.subject.other Log-normal distribution en
dc.subject.other Monte Carlo Simulation en
dc.subject.other Numerical approaches en
dc.subject.other Probabilistic analysis en
dc.subject.other Probability of exceedance en
dc.subject.other Pseudostatic en
dc.subject.other Reliability analysis method en
dc.subject.other Seismic analysis en
dc.subject.other Seismic fragility en
dc.subject.other Seismic Performance en
dc.subject.other Seismic slope en
dc.subject.other Stability assessment en
dc.subject.other Vulnerability analysis en
dc.subject.other Vulnerability assessments en
dc.subject.other Canals en
dc.subject.other Computer simulation en
dc.subject.other Embankments en
dc.subject.other Hydraulic structures en
dc.subject.other Monte Carlo methods en
dc.subject.other Probability distributions en
dc.subject.other Reliability analysis en
dc.subject.other Safety factor en
dc.subject.other Seismology en
dc.subject.other Structural analysis en
dc.subject.other System stability en
dc.subject.other Slope stability en
dc.title Probabilistic seismic slope stability assessment of geostructures en
heal.type journalArticle en
heal.identifier.primary 10.1080/15732470802664001 en
heal.identifier.secondary http://dx.doi.org/10.1080/15732470802664001 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract Typically, seismic analysis of large-scale geostructures, such as embankments, is performed by means of deterministic pseudostatic slope stability methods, where a safety factor based approach is adopted. However, probabilistic seismic fragility analysis can be a more efficient and realistic approach for interpreting more accurately the seismic performance and the vulnerability assessment of an earth structure. There are two major approaches for performing vulnerability analysis: either approximately assuming that the demand values follow a lognormal distribution or numerically most frequently using the Monte Carlo simulation (MCS) method, where the probability of exceedance for every limit state is obtained by performing MCS analyses for various intensity levels. The MCS technique is considered to be the most consistent reliability analysis method, with no limitations on its applicability range. The objective of this work is to present the efficiency of the MCS-based numerical approach versus the commonly used lognormal empirical approach for developing fragility curves of embankments. © 2010 Taylor & Francis. en
heal.publisher TAYLOR & FRANCIS LTD en
heal.journalName Structure and Infrastructure Engineering en
dc.identifier.doi 10.1080/15732470802664001 en
dc.identifier.isi ISI:000274256300013 en
dc.identifier.volume 6 en
dc.identifier.issue 1-2 en
dc.identifier.spage 179 en
dc.identifier.epage 191 en


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