面向杆系结构有限元分析的大语言模型智能体框架

A LLM-AGENT FRAMEWORK FOR FINITE ELEMENT ANALYSIS OF TRUSS AND FRAME STRUCTURES

  • 摘要: 本文构建了一种面向杆系结构有限元分析的大语言模型智能体框架,实现自然语言解析、有限元建模、代码生成与执行及结果验证的一体化处理。平面桁架和刚架算例表明,该框架能够从自然语言描述中提取有限元建模所需信息及参数,自动生成并执行有限元计算代码。所得节点位移和杆件内力等结果与商用有限元软件参考解的相对误差均小于0.01%,表明该框架具有较高的计算准确性,可为缺乏有限元专业知识的用户开展杆系结构力学分析提供智能化辅助。

     

    Abstract: This study develops a large language model-based agent framework for the finite element analysis of truss and framed structures, integrating natural language parsing, finite element modeling, code generation and execution, and result verification into a unified workflow. Numerical examples demonstrate that the framework can extract the information and parameters required for finite element modeling from natural language descriptions and automatically generate and execute finite element analysis code. Compared with reference solutions obtained using commercial finite element software, the relative errors in nodal displacements and member internal forces are all less than 0.01%, demonstrating the high computational accuracy of the proposed framework. The framework provides intelligent assistance for users with limited expertise in finite element analysis to perform mechanical analysis of framed structures.

     

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