# AbaqusAgent：面向固体力学有限元分析的多AI智能体框架

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-05-28 08:00
- AIHOT 分数：58
- AIHOT 链接：https://aihot.virxact.com/items/cmpy48u2v01knslax1l9btoj1
- 原文链接：https://arxiv.org/abs/2606.00138

## AI 摘要

AbaqusAgent 是一个基于大语言模型的多智能体框架，用于固体力学有限元分析。它通过将用户的自然语言指令转化为可执行的有限元分析流程与结果可视化，借助 Abaqus 软件完成分析。框架包含解释器、架构师、输入编写器、运行器、审查器和可视化器六个智能体，覆盖标准有限元分析的全部前处理与后处理步骤。在 50 个固体力学问题上验证，整体成功率达 86%。代码已在 GitHub 开源。

## 正文

Finite element analysis (FEA) is the most important numerical approach for solid mechanics. Challenges of FEA include a steep learning curve for entry-level users and potential false simulations due to incorrect definitions of key simulation components, such as boundary conditions, load cases, and solution variables. Years of engineering experience are usually necessary for real-world problem-solving. To address these issues, we present AbaqusAgent, a multi-agent framework grounded in large language models (LLMs) for solid mechanics analyses. AbaqusAgent is developed to facilitate analysis case generation and execution using Abaqus, one of the most widely used FEA packages, by turning users' natural-language instructions into executed FEA analyses and result visualization. AbaqusAgent is composed of six agents, including interpreter, architect, input writer, runner, reviewer, and visualizer agents, encompassing all the essential pre-processing and post-processing steps of standard FEA analyses. A wide variety of 50 solid mechanics problems have been successfully validated, achieving an overall success rate of 86%. Beyond improving the efficiency of FEA for solid mechanics problems and lowering the barrier to computational mechanics education, AbaqusAgent advances the human-simulation interaction paradigm and enables integration with AI-empowered optimization and material characterization workflows. The code is available at https://github.com/LIRAM-LIN/AbaqusAgent