Abstract

In this paper, the records of steel bar mechanical behavior that are similar to condition-specific data are sifted from the corroded steel bar database based on a similarity measure method. The similarity of mechanical behavior between the corroded steel bar database and the corroded steel samples under certain conditions are analyzed by the similarity measure S. The sifted records can be used for linear regression analysis and combined with limited condition-specific data to obtain a larger coefficient of determination \(R^{2}\) as there are more similar steel bar corrosion characteristics that are relevant to the condition-specific data. It is found that nearly all of the sifted records in the database share the same certain conditions which are similar to the condition-specific data.

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