BIM-driven digital twin for demolition waste management of existing residential buildings
Abstract With the accelerated development of urbanisation, the construction industry has significantly contributed to environmental degradation due to its substantial energy consumption and construction and demolition (C&D) waste generation. By assessing the ecological impact of the construction...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-13938-9 |
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| author | Sakdirat Kaewunruen Yi-Hsuan Lin Yuxin Guo |
| author_facet | Sakdirat Kaewunruen Yi-Hsuan Lin Yuxin Guo |
| author_sort | Sakdirat Kaewunruen |
| collection | DOAJ |
| description | Abstract With the accelerated development of urbanisation, the construction industry has significantly contributed to environmental degradation due to its substantial energy consumption and construction and demolition (C&D) waste generation. By assessing the ecological impact of the construction industry alongside existing demolition waste management practices, this article aims to develop a conceptual framework to optimise building demolition, transportation, and recycling processes. This study integrates a BIM-driven Digital Twin framework into C&D waste management, aiming to maximise economic benefits and advance the sustainable development of construction practices. Specifically, it simulates the demolition process of an existing townhouse in Washington, D.C., using BIM-Navisworks software and employs a digital twin to update demolition data in real-time. This approach optimises the classification and transportation of demolition waste, enhancing efficiency and sustainability. The study validates the proposed conceptual framework for building demolition waste management through case simulation. Additionally, it utilises BIM-Dynamo software to analyse the economic benefits of demolition waste recycling, demonstrating that a high recycling rate can significantly enhance economic outcomes. The proposed framework leverages BIM technology to optimise demolition and recycling processes, providing a valuable reference for selecting demolition waste management strategies for other buildings. |
| format | Article |
| id | doaj-art-71fce2b690ce45ed8fd8f46e9e7db7fb |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-71fce2b690ce45ed8fd8f46e9e7db7fb2025-08-20T03:42:25ZengNature PortfolioScientific Reports2045-23222025-08-0115111610.1038/s41598-025-13938-9BIM-driven digital twin for demolition waste management of existing residential buildingsSakdirat Kaewunruen0Yi-Hsuan Lin1Yuxin Guo2School of Engineering, University of BirminghamBirmingham Centre for Railway Research and Education, University of BirminghamSchool of Engineering and Business School, University of BirminghamAbstract With the accelerated development of urbanisation, the construction industry has significantly contributed to environmental degradation due to its substantial energy consumption and construction and demolition (C&D) waste generation. By assessing the ecological impact of the construction industry alongside existing demolition waste management practices, this article aims to develop a conceptual framework to optimise building demolition, transportation, and recycling processes. This study integrates a BIM-driven Digital Twin framework into C&D waste management, aiming to maximise economic benefits and advance the sustainable development of construction practices. Specifically, it simulates the demolition process of an existing townhouse in Washington, D.C., using BIM-Navisworks software and employs a digital twin to update demolition data in real-time. This approach optimises the classification and transportation of demolition waste, enhancing efficiency and sustainability. The study validates the proposed conceptual framework for building demolition waste management through case simulation. Additionally, it utilises BIM-Dynamo software to analyse the economic benefits of demolition waste recycling, demonstrating that a high recycling rate can significantly enhance economic outcomes. The proposed framework leverages BIM technology to optimise demolition and recycling processes, providing a valuable reference for selecting demolition waste management strategies for other buildings.https://doi.org/10.1038/s41598-025-13938-9DemolitionWaste managementBuilding information modelling (BIM)Digital twin (DT)Environmental sustainabilityFinancial-benefit |
| spellingShingle | Sakdirat Kaewunruen Yi-Hsuan Lin Yuxin Guo BIM-driven digital twin for demolition waste management of existing residential buildings Scientific Reports Demolition Waste management Building information modelling (BIM) Digital twin (DT) Environmental sustainability Financial-benefit |
| title | BIM-driven digital twin for demolition waste management of existing residential buildings |
| title_full | BIM-driven digital twin for demolition waste management of existing residential buildings |
| title_fullStr | BIM-driven digital twin for demolition waste management of existing residential buildings |
| title_full_unstemmed | BIM-driven digital twin for demolition waste management of existing residential buildings |
| title_short | BIM-driven digital twin for demolition waste management of existing residential buildings |
| title_sort | bim driven digital twin for demolition waste management of existing residential buildings |
| topic | Demolition Waste management Building information modelling (BIM) Digital twin (DT) Environmental sustainability Financial-benefit |
| url | https://doi.org/10.1038/s41598-025-13938-9 |
| work_keys_str_mv | AT sakdiratkaewunruen bimdrivendigitaltwinfordemolitionwastemanagementofexistingresidentialbuildings AT yihsuanlin bimdrivendigitaltwinfordemolitionwastemanagementofexistingresidentialbuildings AT yuxinguo bimdrivendigitaltwinfordemolitionwastemanagementofexistingresidentialbuildings |