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Mathematical Problems in Engineering
Volume 2013, Article ID 953930, 14 pages
Review Article

Review of Physical Based Monitoring Techniques for Condition Assessment of Corrosion in Reinforced Concrete

1Department of Civil Engineering, Xiamen University, Xiamen 361005, China
2Department of Mechanical & Electrical Engineering, Xiamen University, Xiamen 361005, China

Received 30 October 2013; Revised 6 December 2013; Accepted 7 December 2013

Academic Editor: Ting-Hua Yi

Copyright © 2013 Ying Lei and Zhu-Peng Zheng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Monitoring the condition of steel corrosion in reinforced concrete (RC) is imperative for structural durability. In the past decades, many electrochemistry based techniques have been developed for monitoring steel corrosion. However, these electrochemistry techniques can only assess steel corrosion through monitoring the surrounding concrete medium. As alternative tools, some physical based techniques have been proposed for accurate condition assessment of steel corrosion through direct measurements on embedded steels. In this paper, some physical based monitoring techniques developed in the last decade for condition assessment of steel corrosion in RC are reviewed. In particular, techniques based on ultrasonic guided wave (UGW) and Fiber Bragg grating (FBG) are emphasized. UGW based technique is first reviewed, including important characters of UGW, corrosion monitoring mechanism and feature extraction, monitoring corrosion induced deboning, pitting, interface roughness, and influence factors. Subsequently, FBG for monitoring corrosion in RC is reviewed. The studies and application of the FBG based corrosion sensor developed by the authors are presented. Other physical techniques for monitoring corrosion in RC are also introduced. Finally, the challenges and future trends in the development of physical based monitoring techniques for condition assessment of steel corrosion in RC are put forward.