Abstract
Corrosion assessment technology is gradually improved. Sensing technologies are being studied a lot to identify and respond to corrosion of rebars before corrosion occurs, away from the existing methods such as half-cells that remove concrete. This study was to evaluate rebar corrosion status using Bayes inference from voltage potential data. The probability distribution of non-corroded rebar was found for applying Bayes inference. The corrosion state of the rebar was evaluated using the posterior distribution derived from the fitted distribution. As result, the corrosion state could be assessed by the Bayesian method, and the Bayes approach derived the results conservatively.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
