Symbiotic Amman
(2022) AAHM01 20221Department of Architecture and Built Environment
- Abstract
- In this thesis project, we introduce an inclusive, environmentally friendly structure to the city of Amman, where both humans and non-humans can coexist and share spaces within the same boundary. We investigated various design approaches and incorporated generative design and Machine Learning in the form-finding phase of different architectural elements. We used the generative design approach in the form-finding of the main structure. At the same time, we needed to consider how our design relates to the city and context. We bring Machine learning into our design process as a tool where we contextualize our design through the design of the facade elements. With AI-generated Images and a human-machine design-based methodology, we developed... (More)
- In this thesis project, we introduce an inclusive, environmentally friendly structure to the city of Amman, where both humans and non-humans can coexist and share spaces within the same boundary. We investigated various design approaches and incorporated generative design and Machine Learning in the form-finding phase of different architectural elements. We used the generative design approach in the form-finding of the main structure. At the same time, we needed to consider how our design relates to the city and context. We bring Machine learning into our design process as a tool where we contextualize our design through the design of the facade elements. With AI-generated Images and a human-machine design-based methodology, we developed 3d-facades that resemble the city of Amman, which we integrated into our final design. We also provided manufacturing methods for constructing our building using hempcrete as an environmental substitute for concrete. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9095216
- author
- Yousef, Lara LU and Dabdoub, Mouhammad Ali
- supervisor
- organization
- course
- AAHM01 20221
- year
- 2022
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Generative Design Computational Design Digital Fabrication Machine Learning AI Urbanism Sustainability bio-based
- language
- English
- id
- 9095216
- date added to LUP
- 2022-07-04 12:25:57
- date last changed
- 2022-07-04 12:25:57
@misc{9095216, abstract = {{In this thesis project, we introduce an inclusive, environmentally friendly structure to the city of Amman, where both humans and non-humans can coexist and share spaces within the same boundary. We investigated various design approaches and incorporated generative design and Machine Learning in the form-finding phase of different architectural elements. We used the generative design approach in the form-finding of the main structure. At the same time, we needed to consider how our design relates to the city and context. We bring Machine learning into our design process as a tool where we contextualize our design through the design of the facade elements. With AI-generated Images and a human-machine design-based methodology, we developed 3d-facades that resemble the city of Amman, which we integrated into our final design. We also provided manufacturing methods for constructing our building using hempcrete as an environmental substitute for concrete.}}, author = {{Yousef, Lara and Dabdoub, Mouhammad Ali}}, language = {{eng}}, note = {{Student Paper}}, title = {{Symbiotic Amman}}, year = {{2022}}, }