Estimation Method of Flexural Capacity of Rc-Beams With Corroded Re-Bars Based on Crack Width and Wave Velocity

Kuroda, Ichiro; Murakami, Masaya; Yamamoto, Yoshihito; Furuya, Nobuaki

doi:10.2208/jscejmcs.70.272

Cited by 2 publications

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“…The target corrosion level is set to 1%, 3%, and 6%, and the energization time spent on the electrolysis is set to 28.2 hr. per 1% corrosion level with reference to previous study [8], [9]. Four specimens (No.…”

Section: Methodsmentioning

confidence: 99%

Effect of Mislabeled Data on Judgement Results for Re-bar Corrosion by Impact Sound Based on Neural Network

Fukui,

Kuroda

2024

World Congress on Civil, Structural, and Environmental Engineering

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The purpose of this study is to examine the effect of mislabeled data in the training data on the judgment results for reinforcement corrosion by the impact sounds of a steel ball colliding based on a neural network. For this purpose, the impact sounds of RC specimens with different corrosion levels were recorded, and the effects of contaminating with data in which corrosion has progressed beyond the target corrosion level into the positive training data were examined. As a result, it was found that the true positive rate decreased as the contamination rate increased when mislabeled data in the judgement the corrosion level of 1% was included. In addition, in the judgement of the corrosion level of 3%, the true positive rate tends to reduce when mislabeled data is included, but it was clarified that it is less affected by contaminating with the mislabeled data than the judgement of the corrosion level of 1%.

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Section: Methodsmentioning

confidence: 99%

Effect of Mislabeled Data on Judgement Results for Re-bar Corrosion by Impact Sound Based on Neural Network

Fukui,

Kuroda

2024

World Congress on Civil, Structural, and Environmental Engineering

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Evaluation Method for Reduced Area Ratio of Re-bars and Flexural Capacity of RC-beams with Corroded Plural Re-bars Based on Non-destructive Tests

Kuroda¹

2016

Konkurito kogaku rombunshu

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Estimation Method of Flexural Capacity of Rc-Beams With Corroded Re-Bars Based on Crack Width and Wave Velocity

Cited by 2 publications

References 0 publications

Effect of Mislabeled Data on Judgement Results for Re-bar Corrosion by Impact Sound Based on Neural Network

Effect of Mislabeled Data on Judgement Results for Re-bar Corrosion by Impact Sound Based on Neural Network

Evaluation Method for Reduced Area Ratio of Re-bars and Flexural Capacity of RC-beams with Corroded Plural Re-bars Based on Non-destructive Tests

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