Embedded fibre optic sensors under multi-axial loading: a pilot study
Paper
Paper/Presentation Title | Embedded fibre optic sensors under multi-axial loading: a pilot study |
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Presentation Type | Paper |
Authors | Peauril, J. (Author), Epaarachchi, J. (Author), Lau, K. T. (Author) and Wang, H. (Author) |
Editors | Epaarachchi, Jayantha A. , Lau, Alan Kin-tak and Leng, Jinsong |
Journal or Proceedings Title | Proceedings of SPIE (International Society for Optical Engineering) |
ERA Conference ID | 60496 |
Journal Citation | 8793, pp. 1-12 |
Number of Pages | 12 |
Year | 2013 |
Publisher | SPIE |
Place of Publication | Bellingham, WA. United States |
ISSN | 0277-786X |
ISBN | 9780819496300 |
Digital Object Identifier (DOI) | https://doi.org/10.1117/12.2027958 |
Conference/Event | 4th International Conference on Smart Materials and Nanotechnology in Engineering (SMN 2013) |
International Conference on Smart Materials and Nanotechnology in Engineering | |
Event Details | 4th International Conference on Smart Materials and Nanotechnology in Engineering (SMN 2013) Event Date 10 to end of 12 Jul 2013 Event Location Gold Coast, Australia |
Event Details | International Conference on Smart Materials and Nanotechnology in Engineering |
Abstract | 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. |
Keywords | distortion; embed; FBG; indicator; load; predict; spectrum |
ANZSRC Field of Research 2020 | 400510. Structural engineering |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
401609. Polymers and plastics | |
Public Notes | © (2013) Society of Photo-Optical Instrumentation Engineers (SPIE) |
Byline Affiliations | Faculty of Engineering and Surveying |
Centre of Excellence in Engineered Fibre Composites | |
Hong Kong Polytechnic University, China | |
Harbin Institute of Technology, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2167/embedded-fibre-optic-sensors-under-multi-axial-loading-a-pilot-study
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