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@PHDTHESIS{Jung:1026249,
      author       = {Jung, Victoria Clarita},
      othercontributors = {Brell-Cokcan, Sigrid and Feldmann, Markus},
      title        = {{D}ata representation in steel pre-fabrication: a
                      multi-modal approach for interoperability, automation and
                      reuse},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2026-00763},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2026; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2025},
      abstract     = {In view of the growing demand for sustainable construction
                      methods, building materials with high reusability and
                      deconstructable connection techniques are increasingly
                      coming to the fore. In this particular context, steel has
                      been identified as having the potential to positively
                      contribute to the reduction of emissions and waste. One of
                      the key challenges for the widespread implementation of
                      steel reuse is the lack of a consistent, digital and
                      interoperable data basis. This not only affects the
                      deconstruction phase, but is also important along the entire
                      value chain in the construction industry. The upstream
                      production of steel requires both horizontal digitalisation
                      strategies that enable standardised data exchange between
                      different actors and vertical strategies are important to
                      connect internal processes, systems and stakeholders.
                      However, the presence of inconsistent data formats and
                      proprietary software solutions increase the complexity of
                      such data exchange. While the DSTV-NC format has become an
                      established standard for representing geometric data and
                      enabling conventional steel fabrication, it no longer meets
                      the requirements for modern interoperability or supports
                      emerging fabrication methods such as robotic processing.
                      Advancing digital fabrication and facilitating material
                      reuse in line with circular construction principles
                      therefore requires a more flexible and semantically enriched
                      data model. This dissertation proposes a multi-modal
                      approach to data representation in steel pre-fabrication.
                      Both the Industry Foundation Classes (IFC) schema and
                      ontology-based frameworks are investigated as potential
                      successors to the DSTV-NC format. A detailed analysis of the
                      data structures required for novel fabrication and reuse
                      processes form the basis for the development of both models.
                      Their practical applicability is evaluated through prototype
                      implementations in robotic steel fabrication. Based on the
                      findings, a combined approach is recommended. The IFC schema
                      serves as a standardised data model that allows
                      cross-project information to be stored within a Common Data
                      Environment (CDE), ensuring accessibility for all relevant
                      parties. Ontology-based models can complement this by
                      enabling flexible, domain-specific modelling of detailed
                      data. This interoperable data architecture supports both
                      horizontal and vertical digitalisation. The dissertation
                      also examines the practical challenges of integrating the
                      proposed data model into existing planning and fabrication
                      workflows, and identifies specific opportunities for
                      standardisation. The outcomes contribute to the advancement
                      of digital transformation in steel construction and
                      simultaneously promote circular economy principles through
                      enhanced data interoperability and process automation.},
      cin          = {211510},
      ddc          = {720},
      cid          = {$I:(DE-82)211510_20170101$},
      pnm          = {TARGET-X - Trial PlAtform foR 5G EvoluTion –
                      Cross-Industry On Large Scale (101096614) / BMBF 02P17D081 -
                      Verbundprojekt: Informationsnetzwerke zur
                      unternehmensübergreifenden Kollaboration in den
                      Fertigungsketten des Bauwesens (IoC - Internet of
                      Construction); Teilprojekt: Wirtschaftlichkeitsanalyse
                      unternehmensübergreifender Kollaboration in den
                      Fertigungsketten des Bauwesens (BMBF-02P17D081) /
                      Bauplanungsorientiertes Fertigungsmanagement im Stahlbau 4.0
                      (21690 N)},
      pid          = {G:(EU-Grant)101096614 / G:(DE-82)BMBF-02P17D081 /
                      G:(DE-82)21690 N},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2026-00763},
      url          = {https://publications.rwth-aachen.de/record/1026249},
}