Development of artificial intelligence to support damage evaluation for small bridges, and examination of introduction methods

Abstract

Evaluation results of bridge damage is the most fundamental data for maintenance. Therefore, results should be objective. However, results contains many qualitative elements, which often leads to variations among different inspectors. In this study, artificial intelligence model was developed to support objective damage assessment of small bridges. Thereafter, we considered how to introduce the model to Yamaguchi Prefecture．