배합 인자를 고려한 Machine Learning Algorithm 기반 콘크리트 압축강도 추정 기법에 관한 연구
- Title
- 배합 인자를 고려한 Machine Learning Algorithm 기반 콘크리트 압축강도 추정 기법에 관한 연구
- Other Titles
- A Study on the Estimation Method of Concrete Compressive Strength Based on Machine Learning Algorithm Considering Mixture Factor
- Author
- 이한승
- Keywords
- 압축강도; 배합 인자; 머신 러닝; Compressive Strength; Mixture Factor; Machine Learning
- Issue Date
- 2017-05
- Publisher
- 한국건축시공학회
- Citation
- 2017년 춘계학술발표대회 논문집, v. 17, No. 1, Page. 152-153
- 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, six
influential factors (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. After using algorithm of various methods of machine learning techniques, we selected the most suitable
regression analysis model for estimating the compressive strength.
- URI
- http://kic.or.kr/wp2017a/SessionView.asp?code=13&idx=1492https://repository.hanyang.ac.kr/handle/20.500.11754/72060
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ARCHITECTURE(건축학부) > Articles
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