Photonic crystal fiber based chloride chemical sensors for corrosion monitoring

Heming Wei; Chuanyi Tao; Sridhar Krishnaswamy

doi:10.1117/12.2217700

1 April 2016 Photonic crystal fiber based chloride chemical sensors for corrosion monitoring

Heming Wei, Chuanyi Tao, Sridhar Krishnaswamy

Proceedings Volume 9805, Health Monitoring of Structural and Biological Systems 2016; 98052A (2016) https://doi.org/10.1117/12.2217700
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2016, Las Vegas, Nevada, United States

Abstract

Corrosion of steel is one of the most important durability issues in reinforced concrete (RC) structures because aggressive ions such as chloride ions permeate concrete and corrode steel, consequently accelerating the destruction of structures, especially in marine environments. There are many practical methods for corrosion monitoring in RC structures, mostly focusing on electrochemical-based sensors for monitoring the chloride ion which is thought as one of the most important factors resulting in steel corrosion. In this work, we report a fiber-optic chloride chemical sensor based on long period gratings inscribed in a photonic crystal fiber (PCF) with a chloride sensitive thin film. Numerical simulation is performed to determine the characteristics and resonance spectral response versus the refractive indices of the analyte solution flowing through into the holes in the PCF. The effective refractive index of the cladding mode of the LPGs changes with variations of the analyte solution concentration, resulting in a shift of the resonance wavelength, hence providing the sensor signal. This fiber-optic chemical sensor has a fast response, is easy to prepare and is not susceptible to electromagnetic environment, and can therefore be of use for structural health monitoring of RC structures subjected to such aggressive environments.

Citation Download Citation

Heming Wei, Chuanyi Tao, and Sridhar Krishnaswamy "Photonic crystal fiber based chloride chemical sensors for corrosion monitoring", Proc. SPIE 9805, Health Monitoring of Structural and Biological Systems 2016, 98052A (1 April 2016); https://doi.org/10.1117/12.2217700

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