Accurate strain detection and localisation with the distributed Brillouin sensor based on phenomenological signal processing approach

Fabien Ravet; Xiaoyi Bao; Lufan Zou; Qinrong Yu; Yun Li; Vladimir Kalosha; Liang Chen

doi:10.1117/12.663995

20 March 2006 Accurate strain detection and localisation with the distributed Brillouin sensor based on phenomenological signal processing approach

Fabien Ravet, Xiaoyi Bao, Lufan Zou, Qinrong Yu, Yun Li, Vladimir Kalosha, Liang Chen

Author Affiliations +

Proceedings Volume 6176, Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V; 61761C (2006) https://doi.org/10.1117/12.663995
Event: Nondestructive Evaluation for Health Monitoring and Diagnostics, 2006, San Diego, CA, United States

Abstract

We introduce a phenomenological model, based on steady state analytical solution adapted to transient regime through modification of the Brillouin spectrum with the pulse spectrum. This model can accurately de-convolve the strain profiles from measured spectra. The model includes experimental parameters such as the electro-optic modulator Extinction Ratio, the pulse width, pulse and pump powers, position and sensing fibre length. The pulse base is treated as pure steady state contribution. A systematic numerical analysis has been carried out and the results are qualitatively matched with our experimental results. The experimental results have been used to validate the model and evaluate its limitations. Within this context, the approach has been applied to experimental data obtained under well-controlled laboratory conditions. The agreement is good and reflects the Brillouin frequency and then the strain distribution along the fibre. The approach is also successful when used to deconvolve the main strain contributions of a pipe subjected to a compression stress. The strength of the model lies in its simplicity of implementation because it is quasi-analytical and is not restricted to short fibre lengths.

Citation Download Citation

Fabien Ravet, Xiaoyi Bao, Lufan Zou, Qinrong Yu, Yun Li, Vladimir Kalosha, and Liang Chen "Accurate strain detection and localisation with the distributed Brillouin sensor based on phenomenological signal processing approach", Proc. SPIE 6176, Nondestructive Evaluation and Health Monitoring of Aerospace Materials, Composites, and Civil Infrastructure V, 61761C (20 March 2006); https://doi.org/10.1117/12.663995

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