Earticle

초록

영어

Attention is recently being drawn to new-type belite-rich portland cements, which have high percentage of C2S content from 40 to 70% and appropriate specific surface area from 3000 to more than 4000cm2/g. Though belite-rich cement or low heat portland cement is characterized by the low hydration heat and low rate of strength development. This paper presents a hydration model that describes the evolution of cement paste microstructure as a function of the changing the degree of hydration. The coefficients for the hydration model are determined with an artificial neural network technique. Using the proposed model, this paper predicts the adiabatic temperature rise of concrete and heat evolution rate of paste made with different belite amount. The agreement between simulation and experimental results proves that the hydration model is quite effective and potentially useful.

목차

Abstract
 1. 서론
  1.1 연구배경 및 목적
 2. 실험개요
  2.1 사용재료
  2.2 실험항목 및 방법
 3. 수화반응모델
  3.1 수화반응 연성모델
  3.2 뉴럴네트워크의 적용
 4. 실험결과 및 예측
  4.1 C2S량과 수화열의 관계
  4.2 수화발열속도 예측
  4.3 단열온도상승
 5. 결론
 REFERENCES

저자

• 안병주 [ Ahn, Byung-Ju | 전주대학교 건축공학과 교수, 공학박사 ]
• 신기수 [ Shin, Ki-Su | 강원대학교 대학원, 박사과정 ]
• 박기봉 [ Park, Ki-Bong | 강원대학교 건축·토목·환경공학부 교수, 공학박사 ] Corresponding author

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