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.
Reference
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