Description
Computational design optimization holds significant potential in enhancing architectural design efficiency and enabling data-driven and evident-based design. However, existing applications primarily focus on the numerical improvement of design performance and the refinement of a predetermined typology of building design. Such linear and convergent design optimization processes are not well aligned with architects’ parallel and divergent design exploration. Therefore, to make computational design optimization useful for architectural design, it is necessary to challenge the conventional linear and convergent design process.This talk introduces design tools and methods for supporting early-stage architectural design exploration and synthesis associated with performance-driven and sustainable building designs. These tools and methods leverage the advantage of computational design optimization in design space exploration to assist architects in data collection, knowledge extraction, and conceptual development processes. Examples from both design application and research are showcased to demonstrate how these tools and methods can benefit architects' routine design tasks while discussing their potential to further augment human-computer collaborative designs.
| Period | 24 Apr 2024 |
|---|---|
| Held at | National University of Singapore, Singapore |
| Degree of Recognition | International |
