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Automatic High-Resolution Operational Modal Identification of Thin-Walled Structures Supported by High-Frequency Optical Dynamic Measurements.

作者信息

Deng Tongfa, Wang Yuexin, Huang Jinwen, Cao Maosen, Sumarac Dragoslav

机构信息

School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China.

Jiangxi Province Key Laboratory of Environmental Geotechnical Engineering and Hazards Control, Jiangxi University of Science and Technology, Ganzhou 341000, China.

出版信息

Materials (Basel). 2024 Oct 12;17(20):4999. doi: 10.3390/ma17204999.

DOI:10.3390/ma17204999
PMID:39459707
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11509820/
Abstract

High-frequency optical dynamic measurement can realize multiple measurement points covering the whole surface of the thin-walled structure, which is very useful for obtaining high-resolution spatial information for damage localization. However, the noise and low calculation efficiency seriously hinder its application to real-time, online structural health monitoring. To this end, this paper proposes a novel high-resolution frequency domain decomposition (HRFDD) modal identification method, combining an optical system with an accelerometer for measuring high-accuracy vibration response and introducing a clustering algorithm for automated identification to improve efficiency. The experiments on the cantilever aluminum plate were carried out to evaluate the effectiveness of the proposed approach. Natural frequency and damping ratios were obtained by the least-squares complex frequency domain (LSCF) method to process the acceleration responses; the high-resolution mode shapes were acquired by the singular value decomposition (SVD) processing of global displacement data collected by high-speed cameras. Finally, the complete set of the first nine order modal parameters for the plate within the frequency range of 0 to 500 Hz has been determined, which is closely consistent with the results obtained from both experimental modal analysis and finite element analysis; the modal parameters could be automatically picked up by the DBSCAN algorithm. It provides an effective method for applying optical dynamic technology to real-time, online structural health monitoring, especially for obtaining high-resolution mode shapes.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/c6a6d9016869/materials-17-04999-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/52ab8445a5f4/materials-17-04999-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/c6a6d9016869/materials-17-04999-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/52ab8445a5f4/materials-17-04999-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/058733b0a84c/materials-17-04999-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/49f0cda9c223/materials-17-04999-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/6045782e7b17/materials-17-04999-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/23fe7257c08c/materials-17-04999-g017.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/733413742342/materials-17-04999-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7764/11509820/c6a6d9016869/materials-17-04999-g020.jpg

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