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| Preliminary exploration and analysis of ChatGPT's application in the field of computational structural mechanics |
| Received:May 02, 2023 Revised:May 23, 2023 |
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| DOI：10.7511/jslx20230502005 |
| KeyWord:ChatGPT computational structural mechanics artificial intelligence reinforcement learning |
| Author | Institution |
| 阎军 |
大连理工大学 工业装备结构分析国家重点实验室 工程力学系, 大连 |
| 姜立哲 |
大连理工大学 工业装备结构分析国家重点实验室 工程力学系, 大连 |
| 耿东岭 |
大连理工大学 工业装备结构分析国家重点实验室 工程力学系, 大连 |
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| Abstract: |
| Since its launch, ChatGPT, an artificial intelligence chatbot developed by OpenAI, has garnered widespread attention from various sectors of society.Thanks to its exceptional analytical computing capabilities and admirable openness, this model has been employed as a new assistant for service information retrieval and problem-solving.Plane truss structures, commonly seen in structural mechanics, are often analysed utilizing stiffness method in engineering practice.However, beginners or researchers lacking a background in mechanics might struggle to efficiently accomplish high-quality programming tasks.This paper first provides a brief introduction of the principles and applications of ChatGPT.It then uses the rapid generation of plane truss calculation programs created by ChatGPT as an example, exploring and demonstrating the outstanding performance and specific usage methods of ChatGPT in aiding the generation of computational structural mechanics programs.Finally, the paper discusses the applications and challenges of generative artificial intelligence, represented by ChatGPT, in the development of computational structural mechanics programs. |
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