Self-Powered Wireless Sensor Network for Automated Corrosion Prediction of Steel Reinforcement
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Corrosion is one of the key issues that affect the service life and hinders wide application of steel reinforcement.
Moreover, corrosion is a long-term process and not visible for embedded reinforcement.
Thus, this research aims at developing a self-powered smart sensor system with integrated innovative prediction module for forecasting corrosion process of embedded steel reinforcement.
Vibration-based energy harvester is used to harvest energy for continuous corrosion data collection.
Spatial interpolation module was developed to interpolate corrosion data at unmonitored locations.
Dynamic prediction module is used to predict the long-term corrosion based on collected data.
Utilizing this new sensor network, the corrosion process can be automated predicted and appropriate mitigation actions will be recommended accordingly.
American Psychological Association (APA)
Su, Dan& Xia, Ye& Yuan, Robert. 2018. Self-Powered Wireless Sensor Network for Automated Corrosion Prediction of Steel Reinforcement. Journal of Sensors،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201432
Modern Language Association (MLA)
Su, Dan…[et al.]. Self-Powered Wireless Sensor Network for Automated Corrosion Prediction of Steel Reinforcement. Journal of Sensors No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1201432
American Medical Association (AMA)
Su, Dan& Xia, Ye& Yuan, Robert. Self-Powered Wireless Sensor Network for Automated Corrosion Prediction of Steel Reinforcement. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1201432
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201432