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dc.contributor.authorDepina, Ivan
dc.contributor.authorWolebo, Amanuel Petros
dc.date.accessioned2018-04-27T08:45:17Z
dc.date.available2018-04-27T08:45:17Z
dc.date.created2017-11-23T09:37:22Z
dc.date.issued2017
dc.identifier.isbn978-3-903024-28-1
dc.identifier.urihttp://hdl.handle.net/11250/2496295
dc.description.abstractThis study employs conditional random fields to integrate different sources of information on soil properties in the reliability assessment of slope stability in Rissa, Norway. The reliability assessment is conducted to quantify the effects of uncertainties in soil properties and the simulation model on the safety assessment of the slope. The uncertainties in soil properties are modeled with normal and lognormal random fields. The random fields are conditioned on the values of soil properties interpreted from Cone Penetration Test (CPT) measurements at several locations along the slope. The interpreted values of soil properties are subjected to uncertainty due to the inherent variability of CPT measurements, measurement errors, and transformation uncertainty. The application of conditional random fields enables a consistent treatment and integration of different sources of information on soil properties with varying degree of certainty. The reliability assessment of the slope stability is conducted within the Monte Carlo framework by propagating the uncertainties to the slope response. The response of the slope is simulated by a 2D finite element model with an error term accounting for the uncertainty of the simulation model.nb_NO
dc.language.isoengnb_NO
dc.publisherGrafisches Zentrum HTU GmbHnb_NO
dc.relation.ispartofProceedings of the 12th International Conference on Structural Safety and Reliability (ICOSSAR2017), Vienna, Austria
dc.titleApplication of conditional random fields for the reliability assessment of slope stabilitynb_NO
dc.typeChapternb_NO
dc.description.versionpublishedVersionnb_NO
dc.identifier.cristin1517499
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2017 by Grafisches Zentrum HTU GmbHnb_NO
cristin.unitcode194,0,0,0
cristin.unitnameNorges teknisk-naturvitenskapelige universitet
cristin.ispublishedtrue
cristin.fulltextoriginal


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