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Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

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Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

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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


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