Author
Listed:
- Ádám Bukovics
(Department of Structural and Geotechnical Engineering, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary)
- Kitti Ajtayné Károlyfi
(Department of Structural and Geotechnical Engineering, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary)
- Nóra Géczy
(Department of Architectural Design, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary)
Abstract
The demolition of historic residential buildings generates substantial construction and demolition waste, the effective management of which is essential for advancing circular economy objectives. This study presents a BIM-based waste management framework developed for European residential buildings constructed around the turn of the 19th and 20th centuries, reflecting their characteristic construction methods and material use. The framework employs a predefined structural and material database to automatically quantify waste streams from BIM data at LOD 300. Demolition materials are classified into eight categories consistent with the waste hierarchy: reuse, recycling, energy recovery, and disposal. The model also accounts for the influence of demolition techniques, enabling comparative scenario analysis of recovery outcomes. A Budapest case study demonstrated that selective manual demolition increases the proportion of high-value reuse from 19.6% to 56.8% compared to mechanical demolition, while preserving 88% of salvaged bricks and 90% of architectural stone elements. Although the framework was tested on a building in Budapest, the results are extendable to the wider Central European (Austro-Hungarian) building stock due to typological similarities. The findings confirm the framework’s capacity to support sustainable, circular waste management strategies in historic building demolition.
Suggested Citation
Ádám Bukovics & Kitti Ajtayné Károlyfi & Nóra Géczy, 2025.
"A BIM-Based Automated Framework for Waste Quantification and Management in the Deconstruction of Historical Buildings,"
Sustainability, MDPI, vol. 17(24), pages 1-34, December.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:24:p:11214-:d:1818114
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