한국건설순환자원학회논문집 (Journal of the Korean Recycled Construction Resources Institute)

한국건설순환자원학회 (Korean Recycled Construction Resources Institute)
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석탄 가스화 용융 슬래그의 전처리 공정 시스템 적용에 따른 입자 및 물리적 특성 개선 및 통계적 검증

Improvement Particle and Physical Characteristics Applying of The Pretreatment Process System of Coal Gasification Slag and It's Verification Based on Statistical Approach

  • 김종 (청주대학교 건축공학과) ;
  • 한민철 (청주대학교 건축공학과) ;
  • 한준희 (청주대학교 건축공학과)
  • Kim, Jong (Department of Architectural Engineering, Cheong-ju University) ;
  • Han, Min-Cheol (Department of Architectural Engineering, Cheong-ju University) ;
  • Han, Jun-Hui (Department of Architectural Engineering, Cheong-ju University)
  • 투고 : 2022.09.05
  • 심사 : 2022.09.22
  • 발행 : 2022.09.30
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초록

본 연구에서는 IGCC에서 발생되는 CGS를 각각의 전처리 공정마다 콘크리트 잔골재 품질 평가를 수행하였다. 전처리 공정 시스템은 순환 잔골재 생산설비를 기반으로 구축되었다. 각각의 전처리 공정 시스템에 따른 측정값을 반복측정 분산분석을 통해 전처리 공정의 통계적 유의성을 분석하였다. 분석결과 전처리 공정 시스템 전·후의 CGS 잔골재 품질의 경우 밀도는 5.2 % 상승, 흡수율은 1.86 % 감소, 0.08 mm체 통과량은 2.25 % 감소, 조립률 및 입도분포 또한 입도 조정이 가능한 것으로 나타났다. 결국, 전처리 공정 시스템은 CGS의 불순물을 제거하고 입도를 개선시켜 물리적 성질 및 입자특성이 향상됨을 확인할 수 있으며, 잔골재로서의 활용하기 위한 CGS의 품질을 KS F 2527에서 규정하고 품질기준 범위 이내로 개선할 수 있는 것으로 나타났다.

The objective of this study is to investigate whether CGS generated in IGCC satisfies the fine aggregate quality items specified in KS F 2527(Concrete Aggregate) through the pretreatment process system and the quality improvement the system. The statistical significance of the pretreatment process was analyzed through Repeated Measurements ANOVA as measured values according to individually pretreatment process system. As a result of the analysis, In the case of CGS fine aggregate quality before and after the pretreatment process system, the density increased 5.2 %, the absorption rate decreased by 1.86 %, the 0.08 mm passing ratio decreased by 2.25 %, and Fineness Modulus and Particle-size Distribution were also found to be adjustable. It was found that the pretreatment process system was significant in improving the quality of CGS.

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과제정보

본 논문은 2021년 한국연구재단 (과제번호: 2021R1F1A1060194)의 일환으로 수행된 연구임을 밝히며 이에 감사를 드립니다.

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