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비파괴검사와 인공신경망을 이용한 콘크리트 구조물의 안정성 증대에 관한 연구

Title
비파괴검사와 인공신경망을 이용한 콘크리트 구조물의 안정성 증대에 관한 연구
Other Titles
A study on the improvement in the integrity of concrete structures using nondestructive testing and neural network
Author
조영상
Keywords
구조물 진단시스템; 인공신경망; 비파괴검사; 충격 반향기 법; 표면파기 법
Issue Date
2004-10
Publisher
대한건축학회
Citation
대한건축학회 학술발표대회 논문집 - 구조계 v. 24. No. 2, Page, 233-236
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.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00813551&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/152046
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ARCHITECTURE(건축학부) > Articles
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