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
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML