Applicability of Machine Learning Model for Scour Danger Assessment Method of Railway Bridge Piers and Feature Analysis of Missed Cases

Abstract

Recently, river bridge piers have been damaged by score due to flooding. Considering recent damage cases, we are developing an extraction method adopting machine learning model to extract bridge piers which may be damaged by scour. In this study, we examined the applicability of machine learning model trained on dataset collected by RTRI to recent damage cases. In parallel, we analyzed various parameters included in missed cases by machine learning model. As a result, machine learning model can extract recent damage cases which are not included in training data. And we show the characteristics of the piers included in missed cases by machine learning model.