Artificial Intelligence and Data Science
Online ISSN : 2435-9262
PROBABILISTIC STRUCTURAL CAPACITY ESTIMATION OF RC MEMBERS WITH 2D SPATIAL DISTRIBUTIONS OF STEEL CORROSION PREDICTED BASED ON CORROSION CRACK OBSERVATION AND PIX2PIX
Taiki YAMADAMina SHINTANIJiyu XINMitsuyoshi AKIYAMA
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JOURNAL OPEN ACCESS

2021 Volume 2 Issue J2 Pages 47-54

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Abstract

When steel corrosion occurs in reinforced concrete (RC) members, corrosion cracks appear on the con-crete surface. Although corrosion cracks are valuable information for predicting the amount of steel corro-sion, corrosion crack width depends on the corrosion amount of not only the closest rebar but also the surrounding rebars. This results in the complicated non-linear relationship between corrosion crack and steel corrosion. In this study, using an artificial database and pix2pix, 2D steel corrosion distribution is estimated given the distribution of corrosion crack width. As an illustrative example, considering model uncertainty involved in the prediction of steel corrosion, probabilistic density function associated with flex-ural capacity of aging RC beams is estimated conditioned upon the corrosion crack distribution.

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© 2021 Japan Society of Civil Engineers
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