Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/88625
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Miranda, Tiago F. S. | por |
dc.contributor.author | Viana, Ana | por |
dc.contributor.author | Martins, Francisco F. | por |
dc.contributor.author | Guo, Xiangfeng | por |
dc.contributor.author | Cristelo, Nuno | por |
dc.contributor.author | Dias, Daniel | por |
dc.date.accessioned | 2024-02-07T09:41:18Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Miranda, 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.22.00032 | por |
dc.identifier.issn | 1353-2618 | por |
dc.identifier.uri | https://hdl.handle.net/1822/88625 | - |
dc.description.abstract | This 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.sponsorship | This 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.iso | eng | por |
dc.publisher | ICE Publishing | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04029%2F2020/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | Numerical modelling | por |
dc.subject | reliability and risk | por |
dc.subject | Rock mechanics | por |
dc.subject | Tunnels & tunneling | por |
dc.subject | Uncertainty | por |
dc.subject | tunnels & tunnelling | por |
dc.subject | reliability & risk | por |
dc.subject | Tunnels & tunneling | por |
dc.subject | Tunnels & tunneling | por |
dc.title | Numerical analysis of a tunnel behaviour considering the spatial variability of the geotechnical parameters | por |
dc.type | article | - |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://www.icevirtuallibrary.com/doi/10.1680/jgeen.22.00032 | por |
dc.date.updated | 2024-02-07T01:38:38Z | - |
dc.identifier.doi | 10.1680/jgeen.22.00032 | por |
dc.date.embargo | 10000-01-01 | - |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Civil | por |
dc.subject.wos | Science & Technology | - |
sdum.export.identifier | 13138 | - |
sdum.journal | Proceedings of the Institution of Civil Engineers: Geotechnical Engineering | por |
oaire.version | VoR | por |
dc.subject.ods | Indústria, inovação e infraestruturas | por |
Aparece nas coleções: | ISISE - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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jgeen-PPR-1663586371 R2.pdf Acesso restrito! | 5,43 MB | Adobe PDF | Ver/Abrir |