Smart Structures and Systems

  • 제28권4호
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  • Pages.443-453
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  • 2021
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

A corrosion threshold-controllable sensing system of Fe-C coated long period fiber gratings for life-cycle mass loss measurement of steel bars with strain and temperature compensation

  • Guo, Chuanrui (Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology) ;
  • Chen, Genda (Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology)
  • 투고 : 2020.05.21
  • 심사 : 2021.07.06
  • 발행 : 2021.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, a corrosion threshold-controllable sensing system of long period fiber gratings (LPFG) is developed and validated for life-cycle monitoring of steel bars in corrosive environments. Three Fe-C coated LPFG sensors with two bare LPFG sensors in LP06 and LP07 modes for strain and temperature compensation were multiplexed and deployed inside three miniature, coaxial steel tubes to measure three (long-term in years) critical mass losses through the penetration of tube walls and their corresponding (short-term in hours) corrosion rates in the life span of steel bars. The strain/temperature and mass loss measurements are based on the changes in grating period and refractive index of surrounding medium, respectively. Thermal/mechanical loading and accelerated corrosion tests were conducted to validate the functionality, sensitivity, accuracy, and robustness of the proposed sensing system. Since both the steel tube and Fe-C layer represent the material composition of steel bars in the context of corrosion, the mass loss correlation among any two of the steel tube, Fe-C layer and steel bar is independent of the test conditions such as the current density and sample length, and thus applicable to engineering practices. The outer tube can notably delay and decelerate the corrosion process of its inner steel tube due to the reduced current effect.

키워드

과제정보

This research was funded by the U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOT/OST-R), under Grant No. 69A3551747126, through the INSPIRE University Transportation Center at Missouri University of Science and Technology. The views, opinions, findings and conclusions reflected in this publication are solely those of the authors and do not represent the official policy or position of the USDOT/OST-R, or any State or other entity. Thanks are also due to the Chinese Scholarship Council (CSC) to provide the scholarship to the first author during his PhD study.

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