Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/88625

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dc.contributor.authorMiranda, Tiago F. S.por
dc.contributor.authorViana, Anapor
dc.contributor.authorMartins, Francisco F.por
dc.contributor.authorGuo, Xiangfengpor
dc.contributor.authorCristelo, Nunopor
dc.contributor.authorDias, Danielpor
dc.date.accessioned2024-02-07T09:41:18Z-
dc.date.issued2023-
dc.identifier.citationMiranda, T., Viana, A., Martins, F. F., Guo, X., Cristelo, N., & Dias, D. (2023). Numerical analysis of tunnel behaviour considering the spatial variability of geotechnical parameters. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering. Thomas Telford Ltd. http://doi.org/10.1680/jgeen.22.00032por
dc.identifier.issn1353-2618por
dc.identifier.urihttps://hdl.handle.net/1822/88625-
dc.description.abstractThis study applies random field theory to simulate the spatial variability of the ground where a tunnel was excavated in a granitic soil mass, in the city of Porto (Portugal). Numerical analyses are performed using finite element method combined with random field theory to simulate tunnel excavation. A parametric study to analyse the influence of the correlation coefficient is performed. The results are compared with the measured values and the values obtained with the deterministic computation. The performance of the models is evaluated using two measures of error: root mean squared error (RMSE) and mean absolute deviation (MAD). With the random fields approach (correlation length equal to 0.5) values of MAD equal to 2.18 and RMSE equal to 4.16 were obtained, whereas with the deterministic approach values of MAD equal to 2.29 and RMSE equal to 4.26 were obtained. Furthermore, the performance of the models improves as far as the correlation coefficient increases. Therefore, it is concluded that the results obtained using random fields are better than those obtained using the deterministic analysis.por
dc.description.sponsorshipThis work was partly financed by FCT / MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE) under reference UIDB/04029/2020.por
dc.language.isoengpor
dc.publisherICE Publishingpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04029%2F2020/PTpor
dc.rightsrestrictedAccesspor
dc.subjectNumerical modellingpor
dc.subjectreliability and riskpor
dc.subjectRock mechanicspor
dc.subjectTunnels & tunnelingpor
dc.subjectUncertaintypor
dc.subjecttunnels & tunnellingpor
dc.subjectreliability & riskpor
dc.subjectTunnels & tunnelingpor
dc.subjectTunnels & tunnelingpor
dc.titleNumerical analysis of a tunnel behaviour considering the spatial variability of the geotechnical parameterspor
dc.typearticle-
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.icevirtuallibrary.com/doi/10.1680/jgeen.22.00032por
dc.date.updated2024-02-07T01:38:38Z-
dc.identifier.doi10.1680/jgeen.22.00032por
dc.date.embargo10000-01-01-
dc.subject.fosEngenharia e Tecnologia::Engenharia Civilpor
dc.subject.wosScience & Technology-
sdum.export.identifier13138-
sdum.journalProceedings of the Institution of Civil Engineers: Geotechnical Engineeringpor
oaire.versionVoRpor
dc.subject.odsIndústria, inovação e infraestruturaspor
Aparece nas coleções:ISISE - Artigos em Revistas Internacionais

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