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2409.05012

Data-Driven Reduction of the Finite-Element Model of a Tribomechadynamics Benchmark Problem

Ahmed Amr Morsy, Zhenwei Xu, Paolo Tiso, George Haller

incompletemedium confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper correctly states and applies SSM-based reduction for a large FEM and gives the key reduced equations (including the forced normal-form model) but does not supply a rigorous existence/persistence proof or an O(ε) error estimate; it validates accuracy empirically (NMTE). The model’s solution provides the missing hypotheses and a plausible proof sketch (autonomous and nonautonomous SSM existence, normal-form truncation, and an O(ε) closeness result on O(1) times). Minor caveat: the model’s nonautonomous non-resonance condition should involve combinations with forcing frequencies, not just real parts.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

This manuscript demonstrates a high-impact, data-driven SSM reduction for an industrially relevant jointed structure, reproducing forced responses and internal resonance phenomena with a compact 4D ROM. The theoretical framework is sound and correctly invoked, but explicit statement of assumptions and a brief discussion of predictive error would improve rigor and readability. The contribution is practically important for tribomechadynamics and nonlinear structural dynamics.