FBGs Real-Time Impact Damage Monitoring System of GFRP Beam Based on CC-LSL Algorithm

Vorathin, E. and Zohari, Mohd Hafizi and Ghani, S.A. Che and Siregar, Januar Parlaungan and Lim, Kok Sing (2018) FBGs Real-Time Impact Damage Monitoring System of GFRP Beam Based on CC-LSL Algorithm. International Journal of Structural Stability and Dynamics, 18 (05). p. 1850075. ISSN 0219-4554, DOI https://doi.org/10.1142/S021945541850075X.

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Official URL: https://doi.org/10.1142/S021945541850075X

Abstract

Glass-fiber reinforced polymer (GFRP) composite materials have an undisputed dominance over conventional metallic materials. However, susceptibility to barely visible or invisible internal damage due to impact has increased the demand for these composite materials in robust real-time structural health monitoring (SHM) system since they are capable of localizing the source of impact. Thus, in this paper, an in situ FBG sensor was embedded in a GFRP beam, providing an online real-time monitoring system and with the knowledge of cross-correlation linear source location (CC-LSL) algorithm, the impact location was capable of being determined in a split second. The consistency of cross-correlation function in providing repeatable results for all trials estimated a consistent time difference for all the impact points. The CC-LSL algorithm also revealed that the highest percentage of error was only 4.21% away from the actual hit. In the meantime, FBGs also showed good results as a dynamic strain measuring device in capturing frequency response at certain orientations compared to the AE sensor.

Item Type: Article
Funders: Malaysian Ministry of Higher Education: FRGS grant RDU160136
Uncontrolled Keywords: composites; FBG sensor; real-time monitoring system; smart structure; structural health monitoring
Subjects: Q Science > Q Science (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Science
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 21 Feb 2019 03:27
Last Modified: 21 Feb 2019 03:27
URI: http://eprints.um.edu.my/id/eprint/20419

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