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| Feasibility analysis and exploration of DeepSeek-assisted computational structural mechanics research |
| Received:February 26, 2025 Revised:March 22, 2025 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20250226001 |
| KeyWord:DeepSeek computational structural mechanics artificial intelligence lattice structures FCA |
| Author | Institution |
| 阎军 |
大连理工大学 工业装备结构分析优化与CAE软件全国重点实验室, 大连 |
| 刘洪沅 |
大连理工大学 工业装备结构分析优化与CAE软件全国重点实验室, 大连 |
| 王骏杰 |
大连理工大学 工业装备结构分析优化与CAE软件全国重点实验室, 大连 |
| 蒋官儒 |
大连理工大学 工业装备结构分析优化与CAE软件全国重点实验室, 大连 |
| 严梓睿 |
大连理工大学 工业装备结构分析优化与CAE软件全国重点实验室, 大连 |
| 聂英豪 |
大连理工大学 工业装备结构分析优化与CAE软件全国重点实验室, 大连 |
| 阎琨 |
大连理工大学 化工学院, 大连 |
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| Abstract: |
| Computational structural mechanics is one of the core supporting disciplines of modern engineering science.However,due to its high professional threshold and complex program implementation,researchers need to invest a lot of time in pre-requisite knowledge reserve and algorithm development training.The capabilities of semantic analysis,knowledge integration,code generation and algorithm derivation of the large language model(LLM) provide a technical path for paradigm innovation to solve the above problems.Based on this,this paper evaluates and analyzes the feasibility and limitations of DeepSeek-R1 LLM-assisted computational structural mechanics research.Firstly,taking the Finite Element Method-Cluster based Analysis(FCA),a new computational structural mechanics method,as the research object,the feasibility of completing the key link program development based on the LLM is tested.The influence of semantic interaction strategy,terminology completeness and other factors on the effectiveness of Deepseek-R1 output is analyzed,and the performance of different large language models under the same input information is compared.Secondly,this paper tests the effectiveness of the output results of different LLMs based on several typical computational structural mechanics problems.Finally,based on the experience of numerical examples,this paper analyzes the feasibility and limitations of the new generation of artificial intelligence(AI) models represented by DeepSeek to assist the study of computational structural mechanics.The test results show that LLMs such as DeepSeek-R1 have shown lowering in lowering the research threshold of computational structural mechanics and improving the efficiency of algorithm development,but they still need theoretical basis and program experience support for complex problems. |
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