Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/133382Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Rúben Silva | |
| dc.creator | Cristina Costa | |
| dc.creator | António Arêde | |
| dc.date.accessioned | 2024-03-06T00:07:19Z | - |
| dc.date.available | 2024-03-06T00:07:19Z | - |
| dc.date.issued | 2020 | |
| dc.identifier.other | sigarra:455921 | |
| dc.identifier.uri | https://hdl.handle.net/10216/133382 | - |
| dc.description.abstract | This paper reports on modelling strategies used to represent the structural behaviour of a multispan masonry bridge under railway loading. The bridge structural behaviour is simulated by a 3D finite element model, in which the different bridge components are represented by homogeneous materials. The masonry and infill nonlinear behaviour are simulated using the Drucker-Prager model. The response of the bridge is evaluated for different passages of a freight train considering its dynamic effects and using a simplified methodology. (c) Springer Nature Switzerland AG 2020. | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of ARCH 2019 | |
| dc.rights | restrictedAccess | |
| dc.subject | Engenharia estrutural, Engenharia civil | |
| dc.subject | Structural engineering, Civil engineering | |
| dc.title | Nonlinear Analysis of a Multispan Stone Masonry Bridge Under Railway Traffic Loading | |
| dc.type | Capítulo ou Parte de Livro | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.1007/978-3-030-29227-0_8 | |
| dc.identifier.authenticus | P-00S-66W | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia civil | |
| dc.subject.fos | Engineering and technology::Civil engineering | |
| Appears in Collections: | FEUP - Capítulo ou Parte de Livro | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 455921.pdf Restricted Access | Nonlinear Analysis of a Multispan Stone Masonry Bridge Under Railway Traffic Loading - ARCH 2019 | 2.06 MB | Adobe PDF | View/Open |
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