Reproduction of Nature-Inspired Architectural Forms through Artificial Intelligence

Gül Şebnem Tutal; Fatma Demet Aykal

doi:10.38027/smart.v2n1-10

Authors

Gül Şebnem Tutal Department of Architecture, Graduate School of Natural and Applied Science, Dicle University, Turkey Author https://orcid.org/0000-0002-1871-287X
Fatma Demet Aykal Department of Architecture, Faculty Of Architecture, Dicle University, Turkey Author https://orcid.org/0000-0003-2424-0407

DOI:

https://doi.org/10.38027/smart.v2n1-10

Keywords:

Artificial Intelligence in Architecture, Generative Design Tools, Architectural Visualization, Structural Similarity Index (SSIM), Biomimicry

Abstract

This study aims to evaluate the effectiveness of AI-based visualization tools in reinterpreting biomimetic architectural designs. To this end, three iconic nature-inspired buildings—Eastgate Building, Clyde Auditorium, and the Bahá'í Temple—were selected. For each, visual representations were generated using different AI models: DALL-E, DeepAI, and Midjourney. These AI-generated visuals were compared with the original structures based on architectural criteria, including form similarity, structural feasibility, scale and proportion, environmental integration, and SSIM (Structural Similarity Index Measure) scores.The findings demonstrate that while AI models can interpret and reproduce formal diversity inspired by nature, their architectural realism, scale coherence, and environmental responsiveness vary considerably. Midjourney stood out for its integration with landscape, DALL-E achieved the highest visual similarity scores, and DeepAI produced simplified forms with limited detailing. Overall, AI-generated biomimetic designs show promise in conceptual design phases, but to enhance practical applicability, more integrated approaches with engineering systems are needed.

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