Embedded fibre optic sensors under multi-axial loading: a pilot study

Peauril, J. and Epaarachchi, J. and Lau, K. T. and Wang, H. (2013) Embedded fibre optic sensors under multi-axial loading: a pilot study. In: 4th International Conference on Smart Materials and Nanotechnology in Engineering (SMN 2013), 10-12 Jul 2013, Gold Coast, Australia.

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Fibre optic sensors where embedded in an FRP panel during manufacture. Strain data was collected under uniform distributed loading and used to inversely predict distributed loads. A square FRP panel was manufactured while embedding an FBG sensor network. The panel was tested under various uniform distributed loads. Sensor data was collected and a strain signature was developed for each load case. A Finite Element Analysis was used to predict strain data at sensor locations and these were found to correlate well with the experimental values. Software was used to inversely predict distributed loading from the strain data with good accuracy. It was found with FEA and experimentally that the number of sensors could be reduced for this type of loading.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Print copy of the Proceedings held in the USQ Library at call no. 620.5 Fou.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 24 Jan 2014 05:12
Last Modified: 15 Mar 2018 02:29
Uncontrolled Keywords: distortion; embed; FBG; indicator; load; predict; spectrum
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
09 Engineering > 0912 Materials Engineering > 091209 Polymers and Plastics
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1117/12.2027958
URI: http://eprints.usq.edu.au/id/eprint/24116

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