배합 인자를 고려한 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 기법에 관한 기초적 연구
- Title
- 배합 인자를 고려한 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 기법에 관한 기초적 연구
- Other Titles
- A Basic Study on Estimation Method of Concrete Compressive Strength Based on Deep Learning Algorithm Considering Mixture Factor
- Author
- 이한승
- Keywords
- 압축강도; 배합 인자; 딥 러닝; Compressive Strength; Mixture Factor; Deep Learning
- Issue Date
- 2017-11
- Publisher
- 한국건축시공학회
- Citation
- 한국건축시공학회 학술발표대회 논문집, v. 17, No. 2, Page. 83-84
- Abstract
- In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, seven influential factors (W/B ratio, Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. The purpose of this paper is to estimate compressive strength more accurately by applying it to algorithm of the Deep learning.
- URI
- http://kiss.kstudy.com/thesis/thesis-view.asp?key=3562587https://repository.hanyang.ac.kr/handle/20.500.11754/103750
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ARCHITECTURE(건축학부) > Articles
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