Application of AI Generation Technology in Architectural Design Innovation and Practice
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i4.4777
Abstract
AI generation technology is profoundly transforming the production methods and creative logic of architectural design. Generative adversarial networks, diffusion models, and parametric algorithms demonstrate significant effectiveness in conceptual ideation, scheme optimization, and performance simulation, reducing design cycles by 40%-60% and improving scheme diversity by 3-5 times. The application of this technology shows a trend of transitioning from auxiliary tools to creative partners. However, it also faces challenges such as uncontrollable generation results, insufficient adaptation to professional standards, and ambiguous design responsibilities. To fully realize the technology's value, it is necessary to establish a generation constraint system that aligns with architectural logic, balance the relationship between algorithmic efficiency and design quality, and explore new human-machine collaborative design paradigms.
Keywords
generative artificial intelligence; architectural design; parametric design; algorithm-assisted design; design automation
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