| Title |
A BIM-Based Framework and Databank for Reusing Load-Bearing Structural Elements |
| ID_Doc |
11012 |
| Authors |
Bertin, I; Mesnil, R; Jaeger, JM; Feraille, A; Le Roy, R |
| Title |
A BIM-Based Framework and Databank for Reusing Load-Bearing Structural Elements |
| Year |
2020 |
| Published |
Sustainability, 12, 8 |
| DOI |
10.3390/su12083147 |
| Abstract |
In a context of intense environmental pressure where the construction sector has the greatest impact on several indicators, the reuse of load-bearing elements is the most promising by avoiding the production of waste, preserving natural resources and reducing greenhouse gas emissions by decreasing embodied energy. This study proposes a methodology based on a chain of tools to enable structural engineers to anticipate future reuse. This methodology describes the design of reversible assemblies, the addition of complementary information in the building information modeling (BIM), reinforced traceability, and the development of a material bank. At the same time, controlling the environmental impacts of reuse is planned by carrying out a life cycle assessment (LCA) at all stages of the project. Two scenarios for reuse design are applied with the toolchain proposed. A. "design from a stock" scenario, which leads to 100% of elements being reused, using only elements from stock. B. "design with a stock" scenario, which seeks to integrate as many reused elements available in the stock as possible. The case study of a high-rise building deconstructed to rebuild a medium-rise building demonstrated that the developed toolchain allowed the inclusion of all reuse elements in a new structural calculation model. |
| Author Keywords |
reuse of materials; life cycle assessment (LCA); building circular economy; building information modeling (BIM); design for reuse; sustainable construction; embodied energy; greenhouse gas emissions |
| 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:000535598700080 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/12/8/3147/pdf?version=1586865421
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