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dc.contributor.author | Justo, Andrés | es_ES |
dc.contributor.author | Lamas, Daniel | es_ES |
dc.contributor.author | Sánchez-Rodríguez, Ana | es_ES |
dc.contributor.author | Soilán, Mario | es_ES |
dc.contributor.author | Riveiro, Belén | es_ES |
dc.date.accessioned | 2024-06-26T18:11:39Z | |
dc.date.available | 2024-06-26T18:11:39Z | |
dc.date.issued | 2023-05 | es_ES |
dc.identifier.issn | 0926-5805 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/205506 | |
dc.description.abstract | [EN] The IFC schema has been evolving towards the infrastructure domain. Furthermore, the use of laser scanning technologies as means to digitalize and monitor infrastructures has also significantly increased. This work presents an automated modelling approach for truss bridges that utilizes laser scanning data as its source for geometrical information. The methodology takes a partially instance-segmented point cloud of a truss bridge and generates both an IFC-compliant information model of the truss and the corresponding structural graph. This process uses bounding boxes and their collisions to overcome the missing data from the partial segmentation to create the truss model, as well as to identify the nodes that connect the different truss members. The methodology was tested on a use case made of 272 members and obtained the truss model and structural graph files. | es_ES |
dc.description.sponsorship | This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement No. 769255. This work has been partially supported by the Spanish Ministry of Science and Innovation through the PONT3 project Ref. PID2021-124236OB-C33. This work has been partially supported by the University of Vigo through the human resources grant: Axudas para a contratacion ¿ de personal investigador predoutoral en formacion da Universidade De Vigo 2021 (PREUVIGO-21) and by the Spanish Ministry of Science and Innovation through the grant FJC2020046370- I and the grant RYC2021 033560-I. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Automation in Construction | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Point cloud | es_ES |
dc.subject | IFC | es_ES |
dc.subject | BIM | es_ES |
dc.subject | Truss bridge | es_ES |
dc.subject | Bounding box | es_ES |
dc.title | Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.autcon.2023.104786 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124236OB-C33/ES/ENFOQUE INTERDISCIPLINAR EFICIENTE PARA ANTICIPAR LA PROPAGACION DE FALLOS EN PUENTES QUE SOBREPASAN SU VIDA UTIL: COMPUTACION SURROGADA Y BASADA EN DATOS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/769255/EU/GIS-BASED INFRASTRUCTURE MANAGEMENT SYSTEM FOR OPTIMIZED RESPONSE TO EXTREME EVENTS OF TERRESTRIAL TRANSPORT NETWORKS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Universidade de Vigo//PREUVIGO-21/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//RYC2021 033560-I/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//FJC2020 046370-I/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Justo, A.; Lamas, D.; Sánchez-Rodríguez, A.; Soilán, M.; Riveiro, B. (2023). Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds. Automation in Construction. 149. https://doi.org/10.1016/j.autcon.2023.104786 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.autcon.2023.104786 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 149 | es_ES |
dc.relation.pasarela | S\485032 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Universidade de Vigo | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |