Picture of person typing on laptop with programming code visible on the laptop screen

World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

Explore

Identifying fabrication defects of metal packaged fibre Bragg grating sensors for smart pre-stressing strands

McKeeman, I. and Niewczas, P. and Johnston, M. (2015) Identifying fabrication defects of metal packaged fibre Bragg grating sensors for smart pre-stressing strands. In: 2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2015 - Proceedings. IEEE, Piscataway, NJ., pp. 61-65. ISBN 9781479982141

[img]
Preview
Text (McKeeman-etal-EESMS2015-Identifying-fabrication-defects-of-metal-packaged-fibre-Bragg-grating)
McKeeman_etal_EESMS2015_Identifying_fabrication_defects_of_metal_packaged_fibre_Bragg_grating.pdf - Accepted Author Manuscript

Download (955kB) | Preview

Abstract

Metal packaged fibre Bragg grating sensors have the potential to provide reliable measurements of temperature and strain in high stress environments for the purpose of structural health monitoring. However due to the induction brazing fabrication process a small percentage of sensors are found to have defective brazed joints. We demonstrate a defect identification procedure derived from the batch temperature calibration of fibre Bragg grating sensors for temperature and strain measurement, allowing defective sensors to be identified before installation. The procedure was demonstrated on a sample of twelve temperature sensors fabricated for a small-scale smart pre-stressing strand validation test.