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Structural Response Reconstruction Based on Experimental Approximation and Model Reduction

delete2026-03-18
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杨劲松 (J. N. Yang)
Y
Yidan Liu
X
Xuandong Lu *
T
Tiantian Wang
J
Jingsong Xie
J
Jingjing He
DOI:10.1155/stc/5553171delete
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Abstract

Abstract

En 中文
Model-driven response reconstruction is widely applied to supplement inaccessible dynamic information in mechanical structural health monitoring. However, increasing complexity of structures with considerable degrees of freedom and nonshareability of substructures based on security issues make it inefficient, even impossible, to perform response reconstruction. To overcome these difficulties, a reconstruction strategy is presented by innovatively incorporating experimental approximation and model reduction. As the baseline of response reconstruction, the complete structural FEM is integrated by the defined FEM-based substructures (FSs) and experiment-based substructures (ESs). On one hand, FS aims to deal with low reconstruction efficiency and is transformed from the accessible substructure by the Crag–Bampton method that eliminates redundant matrix data when ensuring accuracy. On the other hand, ES is established to improve the condition of modeling difficulty that inaccessible FEM of local components is replaced by the approximate model, whose vibration characteristics are described through removing a predesigned fixture using experimental coupling measurement. The complete model is established by assembling the above substructures at the desired interface. Response reconstruction referred to the area of ES is realized through transferring frequency response functions among substructures. Otherwise, reconstruction could be directly accomplished by Eigen solution and inverse modal transformation. Response reconstruction cases of a numerical beam structure and an experimental flange-tube assembly are applied to verify superiority and accuracy of the proposed method.
Keywords:
complex mechanical structures
experimental approximation
model reduction
response reconstruction
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Journal

Structural Control and Health Monitoring cover
Structural Control and Health Monitoring
IF:
5.1
Papers:
242
Citations:
9.2K

Organization

C
central south university
Scholars:
2.1W
Papers: 6.0K
Citations: 3
B
beihang university
Scholars:
5.2K
Papers: 2.0K
Citations: 21