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Structural Engineering and Mechanics Volume 91, Number 4, August25 2024 , pages 393-401 DOI: https://doi.org/10.12989/sem.2024.91.4.393 |
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Structural analysis and design using generative AI |
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Moonsu Park, Gyeongeun Bong, Jungro Kim and Gihwan Kim
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| Abstract | ||
| This study explores the integration of the generative AI, specifically ChatGPT (GPT-4o), into the field of structural analysis and design using the finite element method (FEM). The research is conducted in two main parts: structural analysis and structural design. For structural analysis, two scenarios are examined: one where the FEM source code is provided to ChatGPT and one where it is not. The AI's ability to understand, process, and accurately perform finite element analysis in both scenarios is evaluated. Additionally, the application of ChatGPT in structural design is investigated, including design modifications and parameter sensitivity analysis. The results demonstrate the potential of the generative AI to assist in complex engineering tasks, suggesting a future where AI significantly enhances efficiency and innovation in structural engineering. However, the study also highlights the importance of ensuring the accuracy and reliability of AI-generated results, particularly in safety-critical applications. | ||
| Key Words | ||
| artificial intelligence; ChatGPT; finite element analysis; generative AI; structural engineering | ||
| Address | ||
| Moonsu Park, Gihwan Kim: Korea Atomic Energy Research Institute, 111 Daedeok-daero, 989 Beon-gil, Yuseong-gu, Daejeon 34057, Republic of Korea Gyeongeun Bong, Jungro Kim: Department of Mechanical Engineering, Korean Advanced Institute for Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea | ||