Damage Monitoring and Localization Imaging of Aluminum Alloy Thin-Walled Structure Based on Remote Bonding Fiber Bragg Gratings Sensing.

Lu Han, Mi Wang, Lindong Chai, Dingyun Liu, Weifang Zhang, Wei Zhang

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Lu HanSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.

Mi WangSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.

Lindong ChaiSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.

Dingyun LiuNanjing Chenguang Group Co., Ltd., Aerospace Servo Technology Research Institute, Nanjing 210006, China.

Weifang ZhangSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0002-6222-278X

Wei ZhangSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, the damage monitoring investigation based on the remote bonding fiber Bragg grating sensing is performed on the aerospace aluminum alloy thin-walled structure with prefabricated damage. Firstly, an ultrasonic excitation-fiber Bragg gratings (UE-FBGs) sensing experimental platform is established for the simulation of defects monitoring, in which the sensors are placed at a certain distance from the bonding area. Secondly, different arrangements of exciters and receivers are utilized for the original signals and the damage signals. Subsequently, the raw signals are processed by filter and feature extraction in order to denoise the signals and acquire the parameters sensitive to the damage. Finally, an improved Reconstruction for Image Defects (RAPID) algorithm is used to locate and reconstruct the pre-existing damage. The results show that the proposed system improves the sensitivity of the FBG receiver signal and the accuracy of the damage imaging.

Indexed as

damage indexLamb waveremote bondingsignal denoising processingStructural Health Monitoring (SHM)

Identifiers

PMID38591509

DOI10.3390/ma17030652

PMCPMC10856501

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.