A hybrid two-stage Model Order Reduction framework for large-scale structural problems

doi:10.1016/j.ymssp.2026.114127

A hybrid two-stage Model Order Reduction framework for large-scale structural problems

2026-03-09

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DOI：10.1016/j.ymssp.2026.114127

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Abstract

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• Model Order Reduction is essential when dealing with large-order structural systems. • A scheme combining Component Mode Synthesis and State-space based methods is devised. • An assembly strategy for Enhanced Craig-Bampton in separate FE models is introduced. • The proposed approach outperforms classical techniques used in structural dynamics. • Accurate reduced-order models for control system design and path analysis are ensured.

Keywords:

Model Order Reduction

Component Mode Synthesis

State-space methods

Enhanced Craig-Bampton

Large-scale structural problems

A hybrid two-stage Model Order Reduction framework for large-scale structural problems

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