arrow
返回

Structural Response Reconstruction Based on Experimental Approximation and Model Reduction

delete2026-03-18
delete0
delete
OA
AI
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
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

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.
Keyword:
complex mechanical structures
experimental approximation
model reduction
response reconstruction
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Structural Control and Health Monitoring 封面图
Structural Control and Health Monitoring
IF:
5.1
论文数:
242
被引数:
9.2K

机构

C
central south university
学者数:
2.2W
论文数: 6.3K
被引数: 3
B
beihang university
学者数:
5.2K
论文数: 2.0K
被引数: 21
引用论文

引用论文

Dual-type sensor placement for multi-scale response reconstruction
err2014-06-01
err47
PREAI
errZhang, Xiao-Hua; Xu, You-Lin; Zhu, Songye; Zhan, Sheng
err分享
err收藏
学者 查看更多内容