Imperial College London
Alternate

ProfessorZahraSharif Khodaei

Faculty of Engineering, Department of Aeronautics

Professor in AerospaceStructural Durability&HealthMonitoring
 
 
 
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Contact

 

+44 (0)20 7594 5116z.sharif-khodaei

 
 
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Location

 

329City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Xu:2020:10.3390/s20144040,
author = {Xu, C and Sharif, Khodaei Z},
doi = {10.3390/s20144040},
journal = {Sensors},
title = {Shape sensing with Rayleigh backscattering fibre optic sensor},
url = {http://dx.doi.org/10.3390/s20144040},
volume = {20},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In this paper, Rayleigh backscattering sensors (RBS) are used to realize shape sensing of beam-like structures. Compared to conventional shape sensing systems based on bre Bragg grating (FBG) sensors, RBS are capable of continuous lateral sensing. Compared to other types of distributed bre optic sensors (FOS), RBS have a higher spatial resolution. First, the RBS’s strain sensing accuracy is validated by an experiment comparing it with strain gauge response. After that, twoshapesensingalgorithms(thecoordinatetransformationmethod(CTM)andthestrain-deection equationmethod(SDEM))basedonthedistributedFOS’inputstraindataarederived. Thealgorithms arethenoptimizedaccordingtothedistributedFOS’features,tomakeitapplicabletocomplexand/or combine loading situations while maintaining high reliability in case of sensing part malfunction. Numerical simulations are carried out to validate the algorithms’ accuracy and compare their accuracy. The simulation shows that compared to the FBG-based system, the RBS system has a better performance in conguring the shape when the structure is under complex loading. Finally, avalidationexperimentisconductedinwhichtheRBS-basedshapesensingsystemisusedtocongure the shape of a composite cantilever-beam-like specimen under concentrated loading. The result is then compared with the optical camera-measured shape. The experimental results show that both shape sensing algorithms predict the shape with high accuracy comparable with the optical camera result.
AU  - Xu,C
AU  - Sharif,Khodaei Z
DO  - 10.3390/s20144040
PY  - 2020///
SN  - 1424-8220
TI  - Shape sensing with Rayleigh backscattering fibre optic sensor
T2  - Sensors
UR  - http://dx.doi.org/10.3390/s20144040
UR  - http://hdl.handle.net/10044/1/81493
VL  - 20
ER  -
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