| Title |
Selective Deconstruction Programming for Adaptive Reuse of Buildings |
| ID_Doc |
7413 |
| Authors |
Sanchez, B; Rausch, C; Haas, C |
| Title |
Selective Deconstruction Programming for Adaptive Reuse of Buildings |
| Year |
2019 |
| Published |
|
| DOI |
|
| Abstract |
Adaptive reuse of buildings has been identified as a superior alternative to new construction, in terms of sustainability and circular economy. The programming of deconstruction works plays an important role in the adaptive reuse process in order to improve a project's performance. Unfortunately, there is little evidence of efficient implementation and use of deconstruction programming for adaptive reuse building projects. The aim of this paper is to describe a selective deconstruction programming approach for adaptive reuse of buildings. First, we describe a new model for multiple-target selective disassembly sequence planning for buildings. Afterwards, we describe a method for programming the deconstruction works based on the disassembly sequences generated in the last step. The proposed approach helps to improve project performance through process automation that supports quantitative analysis, low cost exploration of alternatives, and an iterative design process for meeting project constraints, e.g. budget, schedule, environmental impact. |
| Author Keywords |
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| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000485219700029 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Civil |
| Research Area |
Computer Science; Engineering |
| PDF |
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