dc.contributor.author | Depina, Ivan | |
dc.contributor.author | Le, Thi Minh Hue | |
dc.contributor.author | Fenton, Gordon A. | |
dc.contributor.author | Eiksund, Gudmund Reidar | |
dc.date.accessioned | 2017-12-18T11:55:15Z | |
dc.date.available | 2017-12-18T11:55:15Z | |
dc.date.created | 2016-02-02T08:59:30Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Structural Safety. 2016, 60 1-15. | nb_NO |
dc.identifier.issn | 0167-4730 | |
dc.identifier.uri | http://hdl.handle.net/11250/2472454 | |
dc.description.abstract | This paper presents an approach for reliability analysis of engineering structures, referred to as Metamodel Line Sampling (MLS). The approach utilizes a metamodel of the performance function, within the framework of the Line Sampling method, to reduce computational demands associated with the reliability analysis of engineering structures. Given a metamodel of the performance function, the failure probability is estimated as a product of a metamodel-based failure probability and a correction coefficient. The correction coefficient accounts for the error in the metamodel estimate of failure probability introduced by the replacement of the performance function with a metamodel. Computational efficiency and accuracy of the MLS approach are evaluated with the Kriging metamodel on analytical reliability problems and a practical reliability problem of a monopile foundation for offshore wind turbine. The MLS approach demonstrated efficient performance in low to medium-dimensional reliability problems. | nb_NO |
dc.description.sponsorship | Acknowledgments. The authors kindly acknowledge the support from Statoil, Norconsult, SAMCoT and Klima 2050 | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | Metamodel | nb_NO |
dc.subject | Reliability | nb_NO |
dc.subject | Line Sampling | nb_NO |
dc.subject | Offshore | nb_NO |
dc.subject | Kriging | nb_NO |
dc.subject | Monopile | nb_NO |
dc.subject | Computational efficiency | nb_NO |
dc.subject | Interpolation | nb_NO |
dc.subject | Offshore wind turbines | nb_NO |
dc.subject | Reliability analysis | nb_NO |
dc.subject | Safety engineering | nb_NO |
dc.subject | Wind turbines | nb_NO |
dc.title | Reliability analysis with Metamodel Line Sampling | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.rights.holder | © 2017 Elsevier. All rights reserved. This is the authors' accepted and refereed manuscript to the article, post-print. Released with a Creative Commons Attribution Non-Commercial No Derivatives License. The final publication is available at https://doi.org/10.1016/j.strusafe.2015.12.005 | nb_NO |
dc.subject.nsi | VDP::Technology: 500 | nb_NO |
dc.source.pagenumber | 1-15 | nb_NO |
dc.source.volume | 60 | nb_NO |
dc.source.journal | Structural Safety | nb_NO |
dc.identifier.doi | 10.1016/j.strusafe.2015.12.005 | |
dc.identifier.cristin | 1330595 | |
dc.relation.project | Norges forskningsråd: 237859 | nb_NO |
cristin.unitcode | 7401,30,30,0 | |
cristin.unitname | Infrastruktur | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |