• 한국건축시공학회지
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• 제12권5호
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• pp.478-489
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• 2012

Each year, about four million tons of steel slag, a by-product produced during the manufacture of steel by refining pig iron in the converter furnace, is generated. It is difficult to recycle this steel slag as aggregate for concrete because the reaction with water and free-CaO in steel slag results in a volume expansion that leads to cracking. However, the steel slag used in this study is atomized using an air-jet method, which rapidly changes the melting substance at high temperature into a solid at a room temperature and prevents free-CaO from being generated in steel slag. This rapidly-cooled steel slag has a spherical shape and is even heavier than natural aggregate, making it suitable for the aggregate of radiation shielding concrete. This study deals with the radiation shielding property of concrete that uses the rapidly-cooled steel slag from the oxidizing process in the converter furnace as fine aggregate. It was shown that the radiation shielding performance of concrete mixed with rapidly-cooled steel slag is even more superior than that of ordinary concrete.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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• pp.255-256
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• 2012

In this study, strain properties of high strength concrete using light weight aggregate which is widely used in recent years are evaluated. For these purpose, thermal strain, transient creep were measured in prestressed condition as 0, 20, 40% of specimen strength at target temperature with 60MPa specimens which was using normal and light weight aggregate. As a result, light weight aggregate is more advantageous for the control of strain than normal aggregate because of its low thermal expansion.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2003년도 봄 학술발표회 논문집
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• pp.249-254
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• 2003

The thermal coefficient of concrete is measured using dilatometer (AASHTO TP60) and strain gage. Testing parameters such as six different coarse aggregate types, cycles of warming and cooling, specimen shape and measurement types were investigated to evaluate the influencing factors for thermal coefficient of concrete. According to experimental results, the thermal coefficient of concrete made with crushed aggregate showed 9.2 -10.$\mu\varepsilon/^{\circ}C$, , however recycled coarse aggregate classified type II showed a little increasing in comparison with crushed aggregate. The thermal coefficient of concrete made with recycled aggregate was reduced 0.2-0.4$\mu\varepsilon/^{\circ}C$, under temperature cycles. However, specimen shapes were revealed as mainly affecting factors on the thermal coefficient of concrete. Finally the thermal coefficient value determined by the dilatometer device was shown to be similar to the value from PML 60.

• 콘크리트학회논문집
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• 제13권4호
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• pp.305-313
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• 2001

본 연구에서는 콘크리트 열전도율의 영향인자에 대하여 TLPP원리를 응용한 QTM-D3 장비를 이용하여 실험을 실시하였고, 이들 실험결과를 이용하여 콘크리트의 열전도율을 예측하는 모델식을 제안하였다. 본 연구를 통하여 얻은 결론은 다음과 같다. 콘크리트, 모르타르 및 페이스트의 열전도율에 미치는 주요 영향인자를 구명하기 위해 본 연구에서 선택된 실험변수는 재령, 골재 함유량, 시멘트 함유량, 결합재 종류, 잔골재율, 시편의 온도 및 함수상태로 총 7가지이다. 이중에서 골재 함유량과 함수상태가 콘크리트 열전도율의 주요 영향인자임을 알 수 있었다. 그리고 시멘트 사용량이 많은 페이스트나 모르타르의 경우 시멘트 함유량이나 결합재 종류에 의해서도 열전도율이 영향을 받고 있다. 그러나 재령은 콘크리트의 열전도율에 큰 영향을 미치지 않음을 알 수 있었다. 콘크리트 열전도율에 주요 영향인자인 골재 함유량, 잔골재율, 시편의 온도 및 함수상태를 이용하여 콘크리트의 열전도율을 계산할 수 있는 모델식을 제안하였다.

• 한국세라믹학회지
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• 제42권1호
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• pp.37-42
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• 2005

유리연마슬러지와 graphite를 발포제로 사용하여 경량골재를 제조하였으며, 경량골재 내부기공과 물성과의 상관성을 도출하였다. 이때 graphite 함량을 각각 달리하여 성구를 제조하였으며, $700^{circ}C$ 및 $800^{circ}C$에서 20분 동안 소성하였다. 소성 전후 골제의 부피 변화를 검토한 결과, 발포제의 첨가량보다는 소성 온도가 즘 더 큰 영향을 미침을 확인하였다 기공의 크기 및 면적은 발포제 첨가량과 소성 온도 상승에 따라 증가하는 특징을 나타내었으나, 발포제 첨가량 $1\%$ 이상에서는 큰 폭의 증가를 동반하지 않았다. 흡수율/열전도율과 기공과의 상관성은 매우 높아, 각각의 상관관계계수는 $0.8\pm$ 이상을 나타내었다.

• 한국인쇄학회지
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• 제19권2호
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• pp.22-29
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• 2001

Meso 치환 thiacarbocyanine 색소의 J-aggregate 형성시 치환기 효과와 열역학적인 정보를 얻기 위한 수단으로 UV/Vis 분광기를 이용하여 색소농도변화에 따른 회합정수 $K_{J}$ , 회합자유에너지G$_{J}$ , 회합엔탈피 H$_{J}$ 를 구하였다. 그 결과 농도증가와 함께 J-aggregate의 생성이 증가하였으며 온도감소와 함께 J-aggregate형성쪽으로 회합평형상수가 이동하였다. 치환기 효과로는 phenyl기의 치환이 평면구조를 형성하는데 있어서도 methyl, ethyl기 치환체보다 회합체형성이 유리하였으며 회합자유에너지와 회합엔탈피도 alkyl기 치환체보다 증가하였다.

• 한국안전학회지
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• 제14권1호
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• pp.124-128
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• 1999

Product background of cement, sand and coarse aggregate differ from country to country, so that thermal behaviour of concrete make a difference in high temperature. To cope with demand, this paper is a study on compressive strength for W/C 45%, 55% and 65% by using domestic portland cement, Han-river sand, sea sand and crushed-coarse aggregate. As a result, it is shown that it is estimating to the mechanical properties of heated concrete specimens under various W/C ratio.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1998년도 가을 학술발표논문집(II)
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• pp.239-244
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• 1998

Fusion temperature of fly ash was determined with wasted glass wool and borax using ash fusion determinator, 0.5wt% of bentonite and water glass used as binder, 50wt% of wasted glass wool added to fly ash, fusion temperature of fly ash was 1, 156$^{\circ}C$. Pellet was prepared, and then sintered at 1, 00$0^{\circ}C$ and 1, 10$0^{\circ}C$. Water-absorption rate, specific gravity, porosity and pore structure of sintering aggregate was determined.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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• pp.635-640
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• 2001

Recently, it has been processed to study about recycled aggregate but a study about using of recycled powder is producted when manufacturing recycled aggregate has not been acted. So in this study on the fundamental properties and application as cementious admixture by heating temperature for mortar properties of recycled powder and sand is obtained like following results. It is judged that application of recycled powder of heat treatment on $600^{\circ}C$ and cement replacement ratio below 10% is available.

• International Journal of Concrete Structures and Materials
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• 제6권3호
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• pp.177-186
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• 2012

The temperature distributions of concrete structures strongly depend on the value of thermal conductivity of concrete. However, the thermal conductivity of concrete varies according to the composition of the constituents and the temperature and moisture conditions of concrete, which cause difficulty in accurately predicting the thermal conductivity value in concrete. For this reason, in this study, back-propagation neural network models on the basis of experimental values carried out by previous researchers have been utilized to effectively account for the influence of these variables. The neural networks were trained by 124 data sets with eleven parameters: nine concrete composition parameters (the ratio of water-cement, the percentage of fine and coarse aggregate, and the unit weight of water, cement, fine aggregate, coarse aggregate, fly ash and silica fume) and two concrete state parameters (the temperature and water content of concrete). Finally, the trained neural network models were evaluated by applying to other 28 measured values not included in the training of the neural networks. The result indicated that the proposed method using a back-propagation neural algorithm was effective at predicting the thermal conductivity of concrete.