FeaGPT: an End-to-End agentic-AI for Finite Element Analysis

2025-10-24

AI Summary

Existing tools automate finite element analysis (FEA) only for single components and lack support for end-to-end engineering verification. To address this, we propose the first natural language–driven, full-stack Geometric-Mesh-Simulation-Analysis (GMSA) agent framework. Our method integrates large language models, engineering semantic parsing, physics-constrained modeling, and adaptive mesh generation to enable a fully automated, human-in-the-loop–free pipeline—from natural language specifications to validated simulation outcomes—featuring boundary condition inference and physics-aware mesh optimization. The framework embeds the CalculiX solver for industrial-grade verification. Evaluated on a turbocharger case and 432 NACA airfoil configurations, the system consistently produces physically plausible, reproducible, multi-objective simulation results. These experiments demonstrate the framework’s scalability and engineering practicality in complex rotating machinery and parametric design scenarios.

Technology Category

• Multiagent Systems: Agent-Based Simulation and Emergent Behavior
• Search and Optimization: Sampling/Simulation-based Search
• Cognitive Modeling & Cognitive Systems: Agent Architectures

Application Category

• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Search and Retrieval-Augmented AI: Agentic search

Abstract

Large language models (LLMs) are establishing new paradigms for engineering applications by enabling natural language control of complex computational workflows. This paper introduces FeaGPT, the first framework to achieve complete geometry-mesh-simulation workflows through conversational interfaces. Unlike existing tools that automate individual FEA components, FeaGPT implements a fully integrated Geometry-Mesh-Simulation-Analysis (GMSA) pipeline that transforms engineering specifications into validated computational results without manual intervention. The system interprets engineering intent, automatically generates physics-aware adaptive meshes, configures complete FEA simulations with proper boundary condition inference, and performs multi-objective analysis through closed-loop iteration. Experimental validation confirms complete end-to-end automation capability. Industrial turbocharger cases (7-blade compressor and 12-blade turbine at SI{110000}{rpm}) demonstrate the system successfully transforms natural language specifications into validated CalculiX simulations, producing physically realistic results for rotating machinery analysis. Additional validation through 432 NACA airfoil configurations confirms scalability for parametric design exploration. These results demonstrate that natural language interfaces can effectively democratize access to advanced computational engineering tools while preserving analytical rigor.

Problem

• Automates complete finite element analysis workflow through natural language
• Transforms engineering specifications into validated simulations without manual steps
• Democratizes access to advanced computational tools while maintaining analytical rigor

Innovation

• End-to-end conversational interface for FEA workflows
• Automated geometry-mesh-simulation-analysis pipeline without manual intervention
• Physics-aware adaptive mesh generation with boundary condition inference