Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Monitoring corrosion of steel bar using ultrasonic guided wave

Authors
Xi Liu, Lei Qin, Xiaochang Ni, Xiaojun Zhu, Shifeng Huang, Xin Cheng
Corresponding Author
Xi Liu
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.158How to use a DOI?
Keywords
ultrasonic guided wave;reinforcement corrosion.
Abstract

The reinforcement corrosion was monitored using ultrasonic guided wave. The amplitude of ultrasonic guided wave could response the degree of reinforcement corrosion. The experiment was carried out to monitor the corrosion process. And the results indicated that ultrasonic guided wave could monitor reinforcement corrosion in reinforced concrete structure real-timely and online. It could reflect the degree of reinforcement corrosion effectively.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.158How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xi Liu
AU  - Lei Qin
AU  - Xiaochang Ni
AU  - Xiaojun Zhu
AU  - Shifeng Huang
AU  - Xin Cheng
PY  - 2017/01
DA  - 2017/01
TI  - Monitoring corrosion of steel bar using ultrasonic guided wave
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 848
EP  - 851
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.158
DO  - 10.2991/icmmita-16.2016.158
ID  - Liu2017/01
ER  -