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Session 2 - 안전과 경영, 좌장 : 김광수 (한국교통대학교)

다중회귀 분석을 이용한 ALC 경도예측에 관한 연구

원문정보

ALC(Autoclaved Lightweight Concrete) Hardness Prediction Research By Multiple Regression Analysis

김광수, 백승훈

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초록

영어

In the ALC(Autoclaved lightweight concrete) manufacturing process, if the pre-cured semi-cake is removed after proper time is passed, it will be hard to retain the moisture and be easily cracked. Therefore, in this research, we took the research by multiple regression analysis to find relationship between variables for the prediction the hardness that is the control standard of the removal time. We study the relationship between Independent variables such as the V/T(Vibration Time), V/T movement, expansion height, curing time, placing temperature, Rising and C/S ratio and the Dependent variables, the hardness by multiple regression analysis. In this study, first, we calculated regression equation by the regression analysis, then we tried phased regression analysis, best subset regression analysis and residual analysis. At last, we could verify curing time, placing temperature, Rising and C/S ratio influence to the hardness by the estimated regression equation.

목차

Abstract
 1. 서론
  1.1 연구의 배경 및 목적
  1.2 연구방법
 2. 다중회귀분석
  2.1 다중회귀분석 ( Multiple Regression Analysis )
  2.2 최소자승법
  2.3 잔차분석
  2.4 다중 회귀분석의 절차
 3. 경량기포콘크리트(ALC)
  3.1 ALC의 역사
  3.2 ALC의 제조
  3.3 ALC의 품질특성
 4. ALC 제조공정 경도예측
  4.1 다중 회귀분석
  4.2 회귀모형의 적합성 평가
  4.3 단계적 회귀분석
  4.4 최량 부분 집합
  4.5 최종 모형 및 잔차 검정
 5. 결론
 6. 참고문헌

저자정보

  • 김광수 한국교통대학교 산업경영공학과
  • 백승훈 주식회사 성은 품질경영실

참고문헌

자료제공 : 네이버학술정보

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