Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication. (March 2022)
- Record Type:
- Journal Article
- Title:
- Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication. (March 2022)
- Main Title:
- Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication
- Authors:
- Bao, Ding Wen
Yan, Xin
Xie, Yi Min - Other Names:
- Globa Anastasia guest-editor.
- Abstract:
- Natural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collaboration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in theNatural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collaboration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in the process of generating complex geometry of the building and its various elements. … (more)
- Is Part Of:
- International journal of architectural computing. Volume 20:Number 1(2022)
- Journal:
- International journal of architectural computing
- Issue:
- Volume 20:Number 1(2022)
- Issue Display:
- Volume 20, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 20
- Issue:
- 1
- Issue Sort Value:
- 2022-0020-0001-0000
- Page Start:
- 7
- Page End:
- 17
- Publication Date:
- 2022-03
- Subjects:
- Swarm intelligence -- multi-agent -- bi-directional evolutionary structural optimisation (BESO) -- intricate architectural form -- efficient structure
Architecture -- Data processing -- Periodicals
Architecture -- Informatique -- Périodiques
Virtual reality in architecture -- Periodicals
Computer-aided design -- Periodicals
Architecture -- Data processing
Periodicals
720.2840285536 - Journal URLs:
- http://jac.sagepub.com/ ↗
http://multi-science.metapress.com/content/121497 ↗
http://www.multi-science.co.uk/ijac.htm ↗
http://www.multi-science.co.uk/ ↗ - DOI:
- 10.1177/14780771221082257 ↗
- Languages:
- English
- ISSNs:
- 1478-0771
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20089.xml