A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Automating building element detection for deconstruction planning and material reuse: A case study
Abstract To address the need for a shift from a linear to a circular economy in the built environment, this paper develops a semi-automated assistive process for planning building material deconstruction for reuse using sensing and scanning, Scan-to-BIM, and computer vision techniques. These methods are applied and tested in a real-world case study in Geneva, Switzerland, with a focus on reconstruction and recovery analysis for floor beam systems. First, accessible sensing and scanning tools, such as mobile photography and smartphone-based consumer-grade Lidar devices, are used to capture imagery and other data from an active demolition site. Then, photogrammetry and point cloud data analysis are performed to construct a 3D BIM model of relevant areas. The structural relationships between reconstructed BIM elements are evaluated to score the feasibility for recovery of each element. This study illustrates what is feasible and where further development is necessary for automating building material reuse planning at scale to increase the uptake of circular economy practices in the construction sector.
Highlights Application of low cost site scanning methods for demolition and recovery site digitization. Development of a Scan to BIM methodology for beam and column systems. Applying established Scan to BIM techniques to a new geometric domain. Graph-based analysis of reconstructed BIM to estimate the recoverability complexity of detected building components.
Automating building element detection for deconstruction planning and material reuse: A case study
Abstract To address the need for a shift from a linear to a circular economy in the built environment, this paper develops a semi-automated assistive process for planning building material deconstruction for reuse using sensing and scanning, Scan-to-BIM, and computer vision techniques. These methods are applied and tested in a real-world case study in Geneva, Switzerland, with a focus on reconstruction and recovery analysis for floor beam systems. First, accessible sensing and scanning tools, such as mobile photography and smartphone-based consumer-grade Lidar devices, are used to capture imagery and other data from an active demolition site. Then, photogrammetry and point cloud data analysis are performed to construct a 3D BIM model of relevant areas. The structural relationships between reconstructed BIM elements are evaluated to score the feasibility for recovery of each element. This study illustrates what is feasible and where further development is necessary for automating building material reuse planning at scale to increase the uptake of circular economy practices in the construction sector.
Highlights Application of low cost site scanning methods for demolition and recovery site digitization. Development of a Scan to BIM methodology for beam and column systems. Applying established Scan to BIM techniques to a new geometric domain. Graph-based analysis of reconstructed BIM to estimate the recoverability complexity of detected building components.
Automating building element detection for deconstruction planning and material reuse: A case study
Gordon, Matthew (author) / Batallé, Anna (author) / De Wolf, Catherine (author) / Sollazzo, Aldo (author) / Dubor, Alexandre (author) / Wang, Tong (author)
2022-11-28
Article (Journal)
Electronic Resource
English
Design for deconstruction and material reuse
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Optimization of strategy planning for building deconstruction
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“Deconstruction programming for adaptive reuse of buildings”
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