| id |
caadria2021_078 |
| authors |
Li, Chao and Petzold, Frank |
| year |
2021 |
| title |
Integrating digital design and Additive Manufacturing through BIM-based digital support - A decision support system using Semantic Web and Multi-Criteria Decision Making |
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 263-270 |
| doi |
https://doi.org/10.52842/conf.caadria.2021.1.263
|
| summary |
Additive Manufacturing in Construction (AMC) envisions a possible alternative for predominantly manual construction with various benefits. In addition to the well-known extrusion-based implementations of AMC, other techniques have been developed to meet various visual and functional requirement. However, the application of Additive Manufacturing (AM) into construction projects has to be carefully evaluated, especially during the early phases of architectural design when important decisions are made. From this point, this work devised an AMC-Oriented Design Decision Support System (DDSS) to identify suitable building components which can be manufactured with specific AM methods. In such a DDSS, knowledge base and decision-making strategy are both critical. To this end, principle of leveraging Semantic Web techniques and Multi-Criteria Decision Making (MCDM) methodologies will be addressed. At the current stage of our research, pre-printed building components using concrete material are considered during the decision support process. |
| keywords |
Additive Manufacturing in Construction; BIM; Design Decision Support System; Multi-Criteria Decision Making; Semantic Web |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (675,391 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:52 |
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