An Experimental and Statistical Study on Rebar Corrosion Considering the Temperature Effect Using Gaussian Process Regression

An Experimental and Statistical Study on Rebar Corrosion Considering the Temperature Effect Using Gaussian Process Regression

Temperature is an important factor that affects corrosion potential in rebars. The temperature effect must be removed from the corrosion potential for precise measurement of corrosion rates. To separate the temperature effect from the corrosion potential, in this study rebar specimens were not embed...

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Bibliographic Details
Main Authors: Byeong Hun Woo, In Kyu Jeon, Seong Soo Kim, Jeong Bae Lee, Jae-Suk Ryou
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
corrosion potential
temperature effect
rebar
Gaussian process regression
Online Access:https://www.mdpi.com/2076-3417/10/17/5937

Internet

https://www.mdpi.com/2076-3417/10/17/5937

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