비파괴검사와 인공신경망을 이용한 콘크리트 구조물의 안정성 증대에 관한 연구

Abstract

This study is focused on the prediction of concrete compressive strength as a part of development of concrete assessment and the thickness as a part of damage detection. The non-destructive tests , Impact Echo method and SASW method, have been applied on the concrete slab specimens and cylinder tests have been applied to predict concrete compressive strengths for the corelation of non-destructive test results and cylinder test results. The concrete strength prediction has been effectively achieved by using neural network technology. When the concrete compressive strength was predicted, Vp and Vr have been trained and the actual problems have been tested , and the accurate result has been obtained. The accuracy in measuring the thickness of the specimen has been successfully achieved.