نمایش مختصر رکورد

dc.contributor.authorJohari, Alien_US
dc.contributor.authorMousavi, S.en_US
dc.contributor.authorHooshmand nejad, A.en_US
dc.date.accessioned1399-07-08T21:48:35Zfa_IR
dc.date.accessioned2020-09-29T21:48:35Z
dc.date.available1399-07-08T21:48:35Zfa_IR
dc.date.available2020-09-29T21:48:35Z
dc.date.issued2015-06-01en_US
dc.date.issued1394-03-11fa_IR
dc.date.submitted2014-11-11en_US
dc.date.submitted1393-08-20fa_IR
dc.identifier.citationJohari, Ali, Mousavi, S., Hooshmand nejad, A.. (2015). A seismic slope stability probabilistic model based on Bishop's method using analytical approach. Scientia Iranica, 22(3), 728-741.en_US
dc.identifier.issn1026-3098
dc.identifier.issn2345-3605
dc.identifier.urihttp://scientiairanica.sharif.edu/article_1899.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/118533
dc.description.abstractProbabilistic seismic slope stability analysis provides a tool for considering uncertainty of the soil parameters and earthquake characteristics. In this paper, the Jointly Distributed Random Variables (JDRV) method is used as an analytical method to develop a probabilistic model of seismic slope stability based on Bishop's method. The selected stochastic parameters are internal friction angle, cohesion and unit weight of soil, which are modeled using a truncated normal probability density function (pdf) and the horizontal seismic coefficient which is considered to have a truncated exponential probability density function. Comparison of the probability density functions of slope safety factor with the Monte Carlo simulation (MCs) indicates superior performance of the proposed approach. However, the required time to reach the same probability of failure is greater for the MCs than the JDRV method. It is shown that internal friction angle is the most influential parameter in the slope stability analysis of finite slopes. To assess the effect of seismic loading, the slope stability reliability analysis is made based on total stresses without seismic loading and with seismic loading. As a result two probabilistic models are proposed.en_US
dc.languageEnglish
dc.language.isoen_US
dc.publisherSharif University of Technologyen_US
dc.relation.ispartofScientia Iranicaen_US
dc.subjectReliabilityen_US
dc.subjectJointly distributed random variables methoden_US
dc.subjectMonte Carlo simulationen_US
dc.subjectSeismic slope stabilityen_US
dc.subjectLimit equilibrium methoden_US
dc.titleA seismic slope stability probabilistic model based on Bishop's method using analytical approachen_US
dc.typeTexten_US
dc.contributor.departmentDepartment of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iranen_US
dc.contributor.departmentDepartment of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iranen_US
dc.contributor.departmentDepartment of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iranen_US
dc.citation.volume22
dc.citation.issue3
dc.citation.spage728
dc.citation.epage741


فایل‌های این مورد

فایل‌هااندازهقالبمشاهده

فایلی با این مورد مرتبط نشده است.

این مورد در مجموعه‌های زیر وجود دارد:

نمایش مختصر رکورد