Automated pipeline for the analysis of a scale-reduced steel cable net

dc.contributor.authorRamonell Cazador, Carlos
dc.contributor.authorChacón Flores, Rolando Antonio
dc.contributor.authorKrenn, Burkhard
dc.contributor.authorPuig i Polo, Càrol
dc.contributor.groupUniversitat Politècnica de Catalunya. ATEM - Anàlisi i Tecnologia d'Estructures i Materials
dc.contributor.groupUniversitat Politècnica de Catalunya. EGEO - Enginyeria Geomàtica
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria de la Construcció
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2022-09-20T13:48:05Z
dc.date.available2022-09-20T13:48:05Z
dc.date.issued2022
dc.description.abstractThis paper proposes a digitally twinned experimental analysis of a scale-reduced laboratory-sized steel cable net subjected to vertical loading. The test is aimed at establishing automated pipelines of information and analysis between the measurements (displacements of nodes) and the numerical model of the cable net, which are seamlessly interconnected through a BIM model. These automated pipelines erect the frame of the development of a digital twin of the cable net with structural analysis purposes. For the sake of measurements, a terrestrial laser scanner is used. Displacements of the nodes are extracted using computational geometry tools. For the sake of analysis, a data-based numerical model is proposed to obtain the tensile state of the cables. Precisely understanding the force distribution along nets is a challenge at design, construction and operation stages. This research belongs to a vaster project related to the development of automated pipelines of information for European infrastructure in the form of digital twins. The outcome of this laboratory test results is of great use when developing similar automated pipelines of information in real sites including cable nets in roofs.
dc.description.sdgObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura
dc.description.sponsorshipAll authors acknowledge the funding of ASHVIN, “Assistants for Healthy, Safe, and Productive Virtual Construction Design, Operation & Maintenance using a Digital Twin” an H2020 project under agreement 958161.
dc.description.versionPostprint (published version)
dc.format.extent7 p.
dc.identifier.citationRamonell, C. [et al.]. Automated pipeline for the analysis of a scale-reduced steel cable net. A: International Colloquium on Stability and Ductility of Steel Structures. "ce/papers, vol. 5, issue 4. Special Issue: SDSS 2022". Berlin: Wilhelm Ernst & Sohn, 2022, p. 1060-1066. ISBN 2509-7075. DOI 10.1002/cepa.1851.
dc.identifier.doi10.1002/cepa.1851
dc.identifier.isbn2509-7075
dc.identifier.urihttps://hdl.handle.net/2117/373081
dc.language.isoeng
dc.publisherWilhelm Ernst & Sohn
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/958161/EU/Assistants for Healthy, Safe, and Productive Virtual Construction Design, Operation & Maintenance using a Digitial Twin/Ashvin
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/full/10.1002/cepa.1851
dc.rights.accessOpen Access
dc.rights.licensenameAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
dc.subject.lcshStructural health monitoring
dc.subject.lemacMonitorització de salut estructural
dc.subject.otherDigital Twin
dc.subject.otherCable net
dc.subject.otherTerrestrial Laser Scanner
dc.subject.otherBIM
dc.subject.otherAutomated pipelines
dc.titleAutomated pipeline for the analysis of a scale-reduced steel cable net
dc.typeConference report
dspace.entity.typePublication
local.citation.authorRamonell, C.; Chacon, R.; Krenn, B.; Puig-Polo, C.
local.citation.contributorInternational Colloquium on Stability and Ductility of Steel Structures
local.citation.endingPage1066
local.citation.publicationNamece/papers, vol. 5, issue 4. Special Issue: SDSS 2022
local.citation.pubplaceBerlin
local.citation.startingPage1060
local.identifier.drac34230034

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