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Analytical fault tree and diagnostic aids for the preservation of historical steel truss bridges

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Analytical fault tree and diagnostic aids for the preservation of historical steel truss bridges

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dc.contributor.author Sangiorgio, Valentino es_ES
dc.contributor.author Nettis, Andrea es_ES
dc.contributor.author Uva, Giuseppina es_ES
dc.contributor.author Pellegrino, Francesco es_ES
dc.contributor.author Varum, Humberto es_ES
dc.contributor.author Adam, Jose M es_ES
dc.date.accessioned 2023-05-04T18:01:47Z
dc.date.available 2023-05-04T18:01:47Z
dc.date.issued 2022-03 es_ES
dc.identifier.issn 1350-6307 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193125
dc.description.abstract [EN] Historical steel bridges represent an important construction typology integrating the constructive heritage of the past century that needs to be preserved. Exposure to fatigue phenomenon, aging, improper design or execution, extreme events, and other aggressive environmental agents can seriously compromise the conservation and performance of these structures as some recent catastrophic collapses have shown (Mississippi River bridge, Minneapolis, Minnesota 2007; Kinzua Bridge State Park, Pennsylvania 2003). In this context, the diagnostic of historical steel bridges becomes of basic importance to identify and implement maintenance, monitoring and conservation strategies. Fault Trees are useful tools for practitioners that provide a complete overview of possible failures. In the related literature, this instrument is mainly applied with approaches that are based on previous experience or failures detected in similar structures, and so the Fault Tree can only provide qualitative support. This paper proposes a new method to achieve an "Analytical" Bridge Fault Tree linking the technician's experience and the numerical simulations of different fault scenarios. The latter are achieved by a numerical model able to consider fatigue failure and different concurring causes in the analysis (e.g., and aggressive phenomena, corrosion, defects, lack of maintenance). The proposed approach was applied to a historical railway steel truss bridge located in the East of Spain (Valencia Region) in order to show its applicability and potential. es_ES
dc.description.sponsorship The research project described here was partially funded by the Generalitat Valenciana "Conselleria de Innovacion, Universidades, Ciencia y Sociedad Digital" through the European Social Fund (FSE) for Regional Development. The second author was financially supported by an Industrial PhD research program (PON-RI 2014-2020) sponsored by the Italian Ministry of Universities and Research (DOT130UZWT) . We would like to express our gratitude to FGV (Ferrocarrils de la Generalitat Valenciana) and CALSENS S.L. for providing data on a real bridge, also to Juan Antonio Garcia Cerezo, of FGV, for his invaluable cooperation and recommendations. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Engineering Failure Analysis es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Historical steel bridges es_ES
dc.subject Diagnostic es_ES
dc.subject Fault tree es_ES
dc.subject Fault scenarios es_ES
dc.subject Fatigue es_ES
dc.subject On-site tests es_ES
dc.subject Models calibration es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title Analytical fault tree and diagnostic aids for the preservation of historical steel truss bridges es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.engfailanal.2021.105996 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MIUR//DOT130UZWT//PON-RI 2014-2020/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.description.bibliographicCitation Sangiorgio, V.; Nettis, A.; Uva, G.; Pellegrino, F.; Varum, H.; Adam, JM. (2022). Analytical fault tree and diagnostic aids for the preservation of historical steel truss bridges. Engineering Failure Analysis. 133:1-15. https://doi.org/10.1016/j.engfailanal.2021.105996 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.engfailanal.2021.105996 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 133 es_ES
dc.relation.pasarela S\484321 es_ES
dc.contributor.funder European Social Fund es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministero dell'Istruzione, dell'Università e della Ricerca es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


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