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딥러닝을 이용한 콘크리트의 탄산화 진행 예측
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이형민 | - |
| dc.contributor.author | 이한승 | - |
| dc.date.accessioned | 2021-06-22T14:04:14Z | - |
| dc.date.available | 2021-06-22T14:04:14Z | - |
| dc.date.issued | 2017-05 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9630 | - |
| dc.description.abstract | In this study, we studied the parameters based on the concrete made of ordinary Portland cement in the existing experimental data. The depth of carbonation deduced from the learning is applied to the carbonation by applying the deep learning. | - |
| dc.format.extent | 2 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국콘크리트학회 | - |
| dc.title | 딥러닝을 이용한 콘크리트의 탄산화 진행 예측 | - |
| dc.title.alternative | Prediction of Carbonation Progress of Concrete Using Deep Learning | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.bibliographicCitation | 한국콘크리트학회 2017년도 봄 학술대회 논문집, v.29, no.01, pp 171 - 172 | - |
| dc.citation.title | 한국콘크리트학회 2017년도 봄 학술대회 논문집 | - |
| dc.citation.volume | 29 | - |
| dc.citation.number | 01 | - |
| dc.citation.startPage | 171 | - |
| dc.citation.endPage | 172 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07167489 | - |
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Related Researcher
- Lee, Han Seung
- ERICA 공학대학 (MAJOR IN ARCHITECTURAL ENGINEERING)