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Optimizing disassembly planning for aluminium-framed windows through automation and collision analysis

Title: Optimizing disassembly planning for aluminium-framed windows through automation and collision analysis
Authors: Aktas, Begum; Hartmann, Timo
Contributors: Moreno-Rangel, Alejandro; Kumar, Bimal
Publisher Information: University of Strathclyde Publishing
Publication Year: 2025
Collection: University of Strathclyde Glasgow: Strathprints
Subject Terms: Architecture
Description: Due to increasing economic competition and growing environmental concerns, the construction industry faces pressure to reduce its environmental footprint in material production and building processes. Disassembly planning has emerged as a key strategy to advance circular construction practices by facilitating material recovery at the end-of-life (EoL) stage. However, disassembly remains complex, requiring strategic planning to maximize material recovery, reduce waste, and minimize embodied energy consumption. The introduction of matrix-based representations offers a promising solution to this complexity. These representations enable efficient disassembly sequence generation, overcoming previously mentioned limitations and providing more efficient means for computers to generate disassembly sequences while reducing algorithmic complexity. This study represents collision test-based adjacency matrix constructions as tools for capturing geometric precedence relations of window parts. It also identifies key factors, dependencies, and challenges associated with disassembling matrix-based multi-layered and multi-material window systems.
Document Type: book part
File Description: text
Language: unknown
Relation: https://strathprints.strath.ac.uk/93311/7/Aktas-Hartmann-EG-ICE-2025-Optimizing-disassembly-planning-for-aluminium-framed-windows-through-automation.pdf; Aktas, Begum and Hartmann, Timo; Moreno-Rangel, Alejandro and Kumar, Bimal, eds. (2025 ) Optimizing disassembly planning for aluminium-framed windows through automation and collision analysis. In: EG-ICE 2025. University of Strathclyde Publishing, GBR, pp. 579-586. ISBN 9781914241826
DOI: 10.17868/strath.00093311
Availability: https://strathprints.strath.ac.uk/93311/; https://doi.org/10.17868/strath.00093311
Rights: cc_by
Accession Number: edsbas.DCAC6399
Database: BASE