D5.2: Digital-Twin Enabled multi-physics simulation and model matching

dc.contributor.authorChacón Flores, Rolando Antonio
dc.contributor.authorRamonell Cazador, Carlos
dc.contributor.authorPosada Cárcamo, Héctor José
dc.contributor.groupUniversitat Politècnica de Catalunya. ATEM - Anàlisi i Tecnologia d'Estructures i Materials
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria de la Construcció
dc.date.accessioned2023-05-12T14:51:39Z
dc.date.available2023-05-12T14:51:39Z
dc.date.issued2023-05-12
dc.description.abstractThis deliverable presents a report on the developed actions and results concerning Digital-Twin-enabled multi-physics simulations and model matching. Enabling meaningful simulations within new human-infrastructure interfaces such as Digital twins is paramount. Accessing the power of simulation opens manifold new ways for observation, understanding, analysis and prediction of numerous scenarios to which the asset may be faced. As a result, managers can access countless ways of acquiring synthetic data for eventually taking better, more informed decisions. The tool MatchFEM is conceived as a fundamental part of this endeavour. From a broad perspective, the tool is aimed at contextualizing information between multi-physics simulations and vaster information constructs such as digital twins. 3D geometries, measurements, simulations, and asset management coexist in such information constructs. This report provides guidance for the generation of comprehensive adequate initial conditions of the assets to be used during their life span using a DT basis. From a more specific focus, this deliverable presents a set of exemplary recommendations for the development of DT-enabled load tests of assets in the form of a white paper. The deliverable also belongs to a vaster suit of documents encountered in WP5 of the Ashvin project in which measurements, models and assessments are described thoroughly.
dc.description.sdgObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura
dc.description.versionPreprint
dc.format.extent114 p.
dc.identifier.citationChacon, R.; Ramonell, C.; Posada, H. D5.2: Digital-Twin Enabled multi-physics simulation and model matching. 2023. DOI 10.5281/zenodo.7928384.
dc.identifier.doi10.5281/zenodo.7928384
dc.identifier.otherhttps://zenodo.org/record/7928384#.ZF411nbP1aQ
dc.identifier.urihttps://hdl.handle.net/2117/387409
dc.language.isoeng
dc.relation.ispartofseriesRef. Ares(2023)2799343 - 20/04/2023
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.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
dc.subject.lcshCivil engineering--Environmental aspects
dc.subject.lemacEnginyeria civil -- Aspectes ambientals
dc.subject.otherDigital Twin
dc.subject.otherSimulations
dc.subject.otherBuilding Information Modelling
dc.subject.otherSensors
dc.subject.otherMulti-Physics
dc.subject.otherFinite Element Models
dc.titleD5.2: Digital-Twin Enabled multi-physics simulation and model matching
dc.typeExternal research report
dspace.entity.typePublication
local.citation.authorChacon, R.; Ramonell, C.; Posada, H.
local.identifier.drac36009338

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