Second-Order Model Reconstruction for Viscously Damped Substructures with Statically Determinate Interface

For single-point constrained and nonproportionally damped substructures, a data-driven method is proposed to reconstruct an underdetermined second-order model based on frequency response data at the statically determinate interface. By structured rational fitting of the interface acceleration impedance and applying a coordinate transformation to its state-space realization, the method yields a symmetric model that facilitates subsequent dynamic analysis. The main theoretical contribution is the inverse construction of a complex modal matrix that admits both the fitted interface impedance and the structural condition for model symmetry, with its general expression derived, and thereby enables an algorithm to seek mass positive definiteness. Numerical case studies on a lumped-parameter system and a solar array finite element model are performed to verify the method. The results demonstrate that the reconstructed models achieve high accuracy, which can serve as a reduced-order surrogate model for modal synthesis of spacecraft assembly.

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Publication Details

Journal
AIAA Journal
Published
2026-06-24
DOI
https://doi.org/10.2514/1.j066434
Primary Topic
Model Reduction and Neural Networks
Type
article
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article

Second-Order Model Reconstruction for Viscously Damped Substructures with Statically Determinate Interface

Lian-Kai Xu, Yu-Qi Liu, Guo-An Tang, Wei Wang
AIAA Journal
Model Reduction and Neural Networks
article

Second-Order Model Reconstruction for Viscously Damped Substructures with Statically Determinate Interface

Lian-Kai Xu, Yu-Qi Liu, Guo-An Tang, Wei Wang
article en

Abstract

For single-point constrained and nonproportionally damped substructures, a data-driven method is proposed to reconstruct an underdetermined second-order model based on frequency response data at the statically determinate interface. By structured rational fitting of the interface acceleration impedance and applying a coordinate transformation to its state-space realization, the method yields a symmetric model that facilitates subsequent dynamic analysis. The main theoretical contribution is the inverse construction of a complex modal matrix that admits both the fitted interface impedance and the structural condition for model symmetry, with its general expression derived, and thereby enables an algorithm to seek mass positive definiteness. Numerical case studies on a lumped-parameter system and a solar array finite element model are performed to verify the method. The results demonstrate that the reconstructed models achieve high accuracy, which can serve as a reduced-order surrogate model for modal synthesis of spacecraft assembly.

AIAA Journal
Fudan University (CN)
Sustainable cities and communities
Openalex Percentile: Top 5%
Model Reduction and Neural Networks
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