Abstract
This paper investigates the impact of design sequence on building design using generative methods. Through a case study exploring design sequences, the paper proposes a framework for enhancing explainability in building design processes. The sequence of design constraints, space approximation, candidate selection, and evaluation, helps provide comprehensive explanations for design choices. The study reveals correlations between design sequence and solution outcomes, emphasising the importance of support for sequence of architectural decision-making. Through integrating documentation and representation of sequences, the framework facilitates effective communication and collaboration among stakeholders. Future research will further explore diverse building types and design aspects to enhance the framework's scalability and applicability. Overall, the study contributes to advancing understanding and practice in architectural design, promoting dynamic and responsive approaches to complex design challenges.
Original language | English |
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Pages | 559-568 |
Number of pages | 10 |
State | Published - 2024 |
Event | 31st International Workshop on Intelligent Computing in Engineering, EG-ICE 2024 - Vigo, Spain Duration: 3 Jul 2024 → 5 Jul 2024 |
Conference
Conference | 31st International Workshop on Intelligent Computing in Engineering, EG-ICE 2024 |
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Country/Territory | Spain |
City | Vigo |
Period | 3/07/24 → 5/07/24 |