STUDY ON EVALUATION OF RESIDUAL STRUCTURAL PERFORMANCE BY ARTIFICIAL INTELLIGENCE USING IMAGE PROCESSING TECHNIQUES

Abstract

Despite the fact that harbor structures are extremely vulnerable towards chloride induced deterioration, study on residual structural performance of corroded steel pipe pile pier is still limited. Authors have previously proposed an evaluation method of residual structural performance based on the judgement result of deterioration by versatile structural analysis software. However, a simpler method without conducting structural analysis is appreciated when deciding the maintenance priorities of different piers. In this study, authors proposed evaluation methods of residual structural performance by introducing artificial intelligence to estimate both the area ratio and distribution image of damaged beams. In order to overcome the problem of misrecognition in unlearned piers’ shapes, a new idea of image processing is hatched by considering the relative distance of beams. As a result, the shapes of unlearned piers are correctly recognized and the estimate accuracy for damaged beams are confirmed.