Abstract
This study introduces an AI-assisted workflow for wind simulation in landscape form-finding. It can rapidly deliver a series of design options within designers' predefined constraints, each detailed with wind indicators. Integrating AI to detect subtle environmental changes and align with designers' intuitive decisions, this research fosters a collaborative paradigm between landscape architects and AI, aiming to shift from physics engine simulations to employing real-time AI simulations for rapidly aiding designers in the form-finding process in landscape design.
| Original language | English |
|---|---|
| Pages (from-to) | 69-78 |
| Number of pages | 10 |
| Journal | Journal of Digital Landscape Architecture |
| Volume | 2024 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2024 |
| MoE publication type | A4 Conference publication |
| Event | Digital Landscape Architecture Conference: New Trajectories in Computational Urban Landscapes & Ecology - TU Wien, Vienna, Austria Duration: 5 Jun 2024 → 7 Jun 2024 https://2024.dla-conference.com/ |
Keywords
- real-time wind-driven co-design
- deep learning
- Landscape form-finding
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