| Title |
A framework for BIM-based disassembly models to support reuse of building components |
| ID_Doc |
16988 |
| Authors |
Sanchez, B; Rausch, C; Haas, C; Hartmann, T |
| Title |
A framework for BIM-based disassembly models to support reuse of building components |
| Year |
2021 |
| Published |
|
| DOI |
10.1016/j.resconrec.2021.105825 |
| Abstract |
Reuse of building components and materials is essential in order to reduce global building waste and resource depletion. Reuse can also improve residual utility for building components and materials. Selective disassembly enables such reuse. Implementation of selective disassembly planning for buildings requires accurate and correct analytical disassembly models for building archetypes, which can be provided using Building Information Modeling (BIM). However, appropriate level-of-detail (LoD) for the required BIM-based parametric disassembly models and a methodology for automatically extracting the corresponding parameters from a BIM are unknown. These knowledge gaps are addressed by developing such a methodology for the appropriate LoD. This study aims to describe and validate a methodology for determining parameters for BIM-based disassembly models to support the reuse of building components towards a circular economy in the construction industry. Taking building structures as an example, disassembly model principles for typical building parts are proposed. Then, a framework of disassembly parametric models is determined and applied for BIM. Based on this framework, a method for automatically determining the necessary parameters is developed, and the critical attributes are suggested. Finally, the disassembly parameters of BIM elements are defined and demonstrated for four case studies in order to validate the consistency and effectiveness of this method. The results indicate useful disassembly models are properly produced within a reasonable amount of time. |
| Author Keywords |
Materials reuse; Components reuse; Disassembly model; Disassembly planning; Building information modelling; Circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000700371100004 |
| WoS Category |
Engineering, Environmental; Environmental Sciences |
| Research Area |
Engineering; Environmental Sciences & Ecology |
| PDF |
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