Investigation of the degradation prediction technique of the steel girder paint using the ACM sensor

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  • ＡＣＭセンサを用いた鋼桁塗装劣化予測手法の検討

Abstract

While maintenance management of bridges became important in recent years, it has a great interest specially in the degradation prediction. Degradation prediction is indispensable technology when carrying out maintenance management of the structure effectively. However, there is few technology of the still established degradation prediction. Then, writers aimed to propose the formula of more accurate degradation prediction which can be used for Bridge Management System (EMS) paying attention to degradation of paint of steel girder. In this paper, a degradation prediction formula is proposed first Next, the coefficient used by the formula was verified and the formula which performs more exact degradation prediction was examined.

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