Artificial Intelligence and Data Science
Online ISSN : 2435-9262
A surrogate model for strength estimation of PC superstructure damaged by salt attack
Tetsuro GODAJumpei TSUJIIToru KOUCHIMasaaki NAKANOKimitoshi MATSUYAMATakahiro SONODA
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JOURNAL OPEN ACCESS

2023 Volume 4 Issue 3 Pages 70-82

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Abstract

In this study, a surrogate model was developed to estimate the strength of PC-T girders damaged by salt attack with carbon sheet reinforcement. First, a dataset was prepared through non-linear FE using many analysis models having different degradation conditions of PC cables and various material properties of carbon sheets. Then, two surrogate models were created; a baseline model using LightGBM which learns the degradation condition of PC cables only quantitatively, and a model using CNN+MLP which learns that as numerical images. Since the strength of the target PC girder is highly dependent on the structural weakness of the girder, the CNN+MLP model incorporating degradation distribution of PC cable improved the prediction accuracy. This study described a methodology to easily estimate the strength of PC super-structure damaged by salt attack with carbon sheet reinforcement by using the developed surrogate model and indicated the possibility of an efficient maintenance scheme for numerous structures based on their physical conditions.

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© 2023 Japan Society of Civil Engineers
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