Multi-agent framework for micromechanical modeling, simulation, and applicability analysis

  • Lee, Hugon (KAIST)
  • Ryu, Seunghwa (KAIST)

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Micromechanical homogenization links composite microstructures to effective material responses [1,2]. However, practical utilization often demands expert decisions on model selection, geometry parametrization, numerical setup, and validity assessment. This study introduces a multi-agent framework that assists users in constructing and executing homogenization workflows while explicitly reporting applicability and limitations. The system decomposes the workflow into specialized agents that (i) translate a user’s description of phases, microstructure, and loading into a structured problem definition, (ii) select an appropriate route among analytical or mean-field homogenization methods [1,3] and numerical RVE-based approaches [2], (iii) call external tools to execute the chosen route (e.g., Mori-Tanaka calculations or automated RVE simulation wrappers), and (iv) generate an applicability analysis summarizing key assumptions and potential failure modes. Rather than replacing established methods, the framework emphasizes orchestration, reproducibility, and transparent guidance. Each step includes an assumption checklist (e.g., linearity, scale separation, and interface/interphase relevance) and a brief rationale for the selected tools and settings. When the requested analysis is likely to be unreliable due to missing inputs or violated assumptions, the system returns a structured limitation report and suggests alternative modeling strategies, required additional information, and relevant references to support the next iteration. The proposed approach illustrates how multi-agent coordination can reduce turnaround time and lower the barrier to reliable micromechanical analysis.