Print Email Facebook Twitter Enhanced Strain Measurement Sensitivity with Gold Nanoparticle-Doped Distributed Optical Fibre Sensing Title Enhanced Strain Measurement Sensitivity with Gold Nanoparticle-Doped Distributed Optical Fibre Sensing Author Wang, X. (TU Delft Structural Integrity & Composites) Xiao, Y. (TU Delft Group Rans) Rans, C.D. (TU Delft Group Rans) Benedictus, R. (TU Delft Group Benedictus) Groves, R.M. (TU Delft Group Groves) Date 2024 Abstract Nanoparticle- (NP-) doped optical fibres show the potential to increase the signal-to-noise ratio and thus the sensitivity of optical fibre strain detection for structural health monitoring. In this paper, our previous experimental/simulation study is extended to a design study for strain monitoring. 100 nm spherical gold NPs were randomly seeded in the optical fibre core to increase the intensity of backscattered light. Backscattered light spectra were obtained in different wavelength ranges around the infrared C-band and for different gauge lengths. Spectral shift values were obtained by cross-correlation of the spectra before and after strain change. The results showed that the strain accuracy has a positive correlation with the relative spectral sensitivity and that the strain precision decreases with increasing noise. Based on the simulated results, a formula for the sensitivity of the NP-doped optical fibre sensor was obtained using an aerospace case study to provide realistic strain values. An improved method is proposed to increase the accuracy of strain detection based on increasing the relative spectral sensitivity, and the results showed that the error was reduced by about 50%, but at the expense of a reduced strain measurement range and more sensitivity to noise. These results contribute to the better application of NP-doped optical fibres for strain monitoring. To reference this document use: http://resolver.tudelft.nl/uuid:aea34411-e26f-4036-a8c8-c4b5e63b3e46 DOI https://doi.org/10.1155/2024/2716156 ISSN 1545-2255 Source Structural Control and Health Monitoring: the bulletin of ACS, 2024 Part of collection Institutional Repository Document type journal article Rights © 2024 X. Wang, Y. Xiao, C.D. Rans, R. Benedictus, R.M. Groves Files PDF 2716156.pdf 2.6 MB Close viewer /islandora/object/uuid:aea34411-e26f-4036-a8c8-c4b5e63b3e46/datastream/OBJ/view