This research introduces a novel framework that integrates Large Language Models with structural analysis software to automate complex engineering tasks.

• Enables LLMs to parse structural descriptions from text and convert them into executable code
• Connects natural language processing with specialized engineering software
• Creates a systematic approach where AI handles repetitive analysis tasks
• Demonstrates how AI can augment engineering workflows without replacing domain expertise

For engineering teams, this framework represents a significant advancement toward more efficient structural analysis processes, potentially reducing time spent on routine calculations while allowing engineers to focus on creative problem-solving and design optimization.

Integrating Large Language Models for Automated Structural Analysis