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Scientific Article details

Title BIM-Based End-of-Lifecycle Decision Making and Digital Deconstruction: Literature Review
ID_Doc 19473
Authors Akbarieh, A; Jayasinghe, LB; Waldmann, D; Teferle, FN
Title BIM-Based End-of-Lifecycle Decision Making and Digital Deconstruction: Literature Review
Year 2020
Published Sustainability, 12.0, 7
DOI 10.3390/su12072670
Abstract This article is the second part of a two-part study, which explored the extent to which Building Information Modelling (BIM) is used for End-of-Lifecycle (EoL) scenario selection to minimise the Construction and Demolition Waste (CDW). The conventional literature review presented here is based on the conceptual landscape that was obtained from the bibliometric and scientometric analysis in the first part of the study. Seven main academic research directions concerning the BIM-based EoL domain were found, including social and cultural factors, BIM-based Design for Deconstruction (DfD), BIM-based deconstruction, BIM-based EoL within LCA, BIM-aided waste management, Material and Component Banks (M/C Banks), off-site construction, interoperability and Industry Foundation Classes (IFC). The analysis highlights research gaps in the path of raw materials to reusable materials, i.e., from the deconstruction to M/C banks to DfD-based designs and then again to deconstruction. BIM-based EoL is suffering from a lack of a global framework. The existing solutions are based on local waste management policies and case-specific sustainability criteria selection. Another drawback of these ad hoc but well-developed BIM-based EoL prototypes is their use of specific proprietary BIM tools to support their framework. This disconnection between BIM tools and EoL tools is reportedly hindering the BIM-based EoL, while no IFC classes support the EoL phase information exchange.
Author Keywords Building Information Modelling; deconstruction; design for deconstruction; reusable materials; interoperability; life cycle assessment; offsite construction; Construction and Demolition Waste; digital twin; Building Stock 4.0
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000531558100095
WoS Category Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
PDF https://www.mdpi.com/2071-1050/12/7/2670/pdf?version=1585626079
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