Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models
Recent advances in large language models (LLMs) have shown the promise to significantly accelerate the workflow by automating structural modeling and analysis. However, existing studies primarily focus on enabling LLMs to operate a single structural analysis software platform. In practice, structural engineers often rely on multiple finite element analysis (FEA) tools, such as ETABS, SAP2000, and OpenSees, depending on project needs, user preferences, and company constraints. This limitation restricts the practical deployment of LLM-assisted engineering workflows. To address this gap, this study develops LLMs capable of automating frame structural analysis across multiple software platfor...
| Authors | Ziheng Geng, Jiachen Liu, Ian Franklin et al. |
|---|---|
| Primary category | cs.SE |
| Published | 10 April 2026 |
| Last updated at source | 10 April 2026 |
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