Record link: 
http://hdl.handle.net/20.500.12708/205516
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Title: 
RE:Stock Industry: Digital Framework for The Circular Reuse of Existing Structures for Vertical Production
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Citation: 
Reisinger, J., Zahlbruckner, M. A., Kán, P., Podkosova, I., Kaufmann, H., & Kovacic, I. (2024). RE:Stock Industry: Digital Framework for The Circular Reuse of Existing Structures for Vertical Production. In Proceedings of the 2024 European Conference on Computing in Construction. 2024 European Conference on Computing in Construction, Kreta, Greece. https://doi.org/10.35490/EC3.2024.322
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Publisher DOI: 
10.35490/EC3.2024.322
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Reisinger, Julia 
Zahlbruckner, Maria Antonia 
Kán, Peter 
Podkosova, Iana 
Kaufmann, Hannes 
Kovacic, Iva 
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Organisational Unit: 
E210-01 - Forschungsbereich Integrale Planung und Industriebau 
E193-03 - Forschungsbereich Virtual and Augmented Reality 
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Published in: 
Proceedings of the 2024 European Conference on Computing in Construction 
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ISBN: 
9789083451305
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Volume: 
2024
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DOI of the book: 
10.35490/EC3.2024
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Date (published): 
2024
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Event name: 
2024 European Conference on Computing in Construction 
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Event date: 
14-Jul-2024 - 17-Jul-2024
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Event place: 
Kreta, Greece
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Number of Pages: 
8
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Peer reviewed: 
Yes
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Keywords: 
resilient industrial buildings; AR-on site visualisation; re-use assessment; vertical production; Scan to FEM
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Abstract: 
Despite numerous existing vacant industrial buildings and vast unused brownfield land, new production settlements are rarely integrated within existing structures. This paper presents the RE:STOCK INDUSTRY framework, aiming to develop a method for assessing the reuse potential of industrial structures, focusing on vertical expansion and circular economy principles. Utilizing scanning and photogrammetry data, a novel AI method will generate asbuilt FEM models for structural analysis and prediction of retrofitting measures under vertical expansion. An augmented reality app will aid visualization and decisionmaking on-site. Innovatively combining AI, computational structural design and AR, the project advocates sustainable reuse, reducing reliance on recycling or disposal.
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Project title: 
RE:STOCK INDUSTRY - Digitaler Framework zur kreislauforientierten Wiederverwendung von Bestandstragwerken für vertikale Produktionen: FO999907638 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 40%
Sustainable Production and Technologies: 20%
Efficient Utilisation of Material Resources: 40%
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Science Branch: 
2011 - Bauingenieurwesen: 50%
1020 - Informatik: 50%
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Appears in Collections:
Conference Paper

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