Health trends and influence factors on deterioration prediction for early deteriorated bridges managed by Fukui prefecture

Abstract

This paper examines the progression of soundness for bridges managed by Fukui Prefecture that have early deteriorated due to chloride attack, alkali-silica reaction (ASR), frost damage. As a result, many of the bridges with deteriorated ASR showed a decline in health. To efficiently manage these bridges in the future, machine learning was used to analyze the factors that influence the prediction of the deterioration of these bridges. Consequently, it was possible to identify explanatory variables that influence the prediction of each deterioration, such as geographical conditions and environmental conditions. In particular, the distance to major rivers was considered as an explanatory variable for ASR deterioration, since it has been suggested that ASR deterioration is related to the rivers that supply reactive aggregate.