Show simple item record

dc.contributor.authorPereira, Álvaro
dc.contributor.authorCabaleiro Núñez, Manuel 
dc.contributor.authorConde Carnero, Borja 
dc.contributor.authorSánchez Rodríguez, Ana 
dc.date.accessioned2021-09-27T12:20:39Z
dc.date.available2021-09-27T12:20:39Z
dc.date.issued2021-05-27
dc.identifier.citationRemote Sensing, 13(11): 2108 (2021)spa
dc.identifier.issn20724292
dc.identifier.urihttp://hdl.handle.net/11093/2520
dc.description.abstractRiveting is a joining technique that was widely used in iron and steel structures from the mid-nineteenth to the early twentieth century. Nowadays, many of these riveted structures are still in service around the world, and in many instances, also constitute an important part of the built cultural heritage. The maintenance and conservation of this type of construction is a crucial task for which the HBIM (Historic Building Information Modeling) methodology has recently gained increased attention, postulating itself as the ideal tool for tracking control and conservation-related actions. In the process of data collection and 3D modeling of the structure, the rivets are an important part to be taken into account in the structural safety assessment and health monitoring over time. Any structure of this typology typically presents thousands of rivets, so its measurement and subsequent 3D geometrical modeling is a laborious task and a source of possible errors. Accordingly, this work presents a novel methodology that allows the automatic identification and 3D modeling of rivets in iron and steel structures from Lidar data. The proposed methodology has been tested with both laboratory specimens and a full-scale real bridge.eng
dc.description.sponsorshipEuropean Commission | Ref. n. 769255spa
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades | Ref. RTI2018-095893-B-C21spa
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades | Ref. FJC2018-035550-Ispa
dc.language.isoengspa
dc.publisherRemote Sensingspa
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAutomatic identification and geometrical modeling of steel rivets of historical structures from Lidar dataeng
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.relation.projectIDEU/H2020/769255spa
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095893-B-C21/ES/EVALUACION DE CICLO DE VIDA DE ESTRUCTURAS DE PUENTES EXISTENTES UTILIZANDO DATOS MULTIESCALA Y MULTIFUENTESspa
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FJC2018-035550-I/ESspa
dc.identifier.doi10.3390/rs13112108
dc.identifier.editorhttps://www.mdpi.com/2072-4292/13/11/2108spa
dc.publisher.departamentoEnxeñaría dos materiais, mecánica aplicada e construciónspa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco3305.06 Ingeniería Civilspa
dc.subject.unesco3305.32 Ingeniería de Estructurasspa
dc.subject.unesco2209.10 láseresspa
dc.date.updated2021-09-23T09:27:48Z
dc.referencesThis document reflects only the views of the authors. Neither the Innovation and Networks Executive Agency (INEA) nor the European Commission is in any way responsible for any use that may be made of the information it contains.spa


Files in this item

[PDF]

    Show simple item record

    Attribution 4.0 International
    Except where otherwise noted, this item's license is described as Attribution 4.0 International