• 제목/요약/키워드: combined superplasticizer

검색결과 10건 처리시간 0.019초

증점제를 이용한 분리저감형 유동화 콘크리트의 개발 및 그 특성분석 (Development and Property Analysis of Segregation-Reducing Type Flowing Concrete Using the Viscosity Agent)

  • 한천구;강의영;오선교;반호용
    • 콘크리트학회논문집
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    • 제11권4호
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    • pp.95-105
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    • 1999
  • When superplasticizer is added to manufacture flowing concrete, the base concrete usually needs the adjustment to assure the sufficient fines contained to obtain flowable consistency without excessive bleeding or segregation. However, this may not only increase the cost, but also cause inconvenience in producing the base concrete. In this paper, the experiments are performed on normal base concrete to achieve a segregation-reducing flowing concrete by adding superplasticizer mixed with viscosity agents and AE admixtures. Three kinds of superplasticizer and two kinds of viscosity agent are selected. According to the results, with regard to the performance and cost of the admixtures, melamine type superplasticizer combined with the PEO viscosity agent and AE admixtures at the ratio 1:0.28:0.001 can acquire good quality and reduce the cost in producing the flowing concrete. With proper addition of combined superplasticizer, even though water to cement ratios of the base concrete are different, the segregation-reducing flowing concrete could be also achieved without reproportioning of the base concrete. However, it would be more desirable if the superplasticizer could be adjusted, before it is put into the practical use in order not to cause some other problems, such as rapid rate of slump loss and retarding of setting time.

광물질 혼화재 사용 초고강도 모르타르 및 콘크리트에 CASB 화합 고성능감수제의 효과분석 (Analysis of the Effect of Superplasticizer combined CASB on Ultra High Strength Mortar and Concrete Using Mineral Admixture)

  • 한천구;유승엽
    • 한국건설순환자원학회논문집
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    • 제6권1호
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    • pp.72-79
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    • 2011
  • 본 연구는 실리카퓸 사용 여부로 서로 다른 광물질 혼화재를 사용하는 초고강도 모르타르 및 콘크리트에 CASB 화합 고성능감수제를 적용함으로서 CASB의 효과를 분석하고자 실시한 것으로, 그 결과를 요약하면 다음과 같다. 굳지않은 모르타르 및 콘크리트의 특성으로 모르타르의 미니 슬럼프 플로 및 콘크리트의 슬럼프 플로는 2성분계 배합의 경우에는 B2-CASB가 B2-PC 보다 CASB 혼입에 의한 점성증가에 기인하여 작게 나타났지만, 3성분계인 배합의 경우에는 B3-CASB가 B3-PC 보다 CASB의 입도분포 개선 효과로 구속수가 감소한 것에 기인하여 크게 나타났다. 공기량은 콘크리트 보다 특히, 모르타르의 경우 2성분계 보다 3성분계 결합재에서 PC보다 CASB에서 결합재간 공극 충전 효과에 기인하여 감소하는 경향이었다. 단, 단위용적질량은 공기량과 반비례의 경향으로 나타났다. 경화 모르타르 및 콘크리트의 특성으로 압축강도는 2성분계 보다 3성분계 결합재에서, PC보다 CASB에서 높게 나타났는데, 이는 광물질 혼화재인 SF의 포졸란 반응에 의해 생성된 규산칼슘수화물로 조직이 치밀해진 것과 CASB의 모세관 공극 충전 효과에 기인한 결과로 분석된다. 이상을 종합하면 나노물질인 CASB를 고성능감수제와 화합하여 사용할 경우 실리카퓸 사용 3성분계 초고강도 모르타르 및 콘크리트의 유동성 및 강도 측면에서 품질향상이 가능할 것으로 사료된다.

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고로 서냉슬래그 혼합 시멘트 페이스트의 유동성 (Fluidity of Cement Paste with Air-Cooled Blast Furnace Slag)

  • 이승헌;박설우;유동우;김동현
    • 한국세라믹학회지
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    • 제51권6호
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    • pp.584-590
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    • 2014
  • Air-cooled slag showed grindability approximately twice as good as that of water-cooled slag. While the studied water-cooled slag was composed of glass as constituent mineral, the air-cooled slag was mainly composed of melilite. It is assumed that the sulfur in air-cooled slag is mainly in the form of CaS, which is oxidized into $CaS_2O_3$ when in contact with air. $CaS_2O_3$, then, is released mainly as $S_2O{_3}^{2-}$ion when in contact with water. However, the sulfur in water-cooled slag functioned as a constituent of the glass structure, so the$S_2O{_3}^{2-}$ ion was not released even when in contact with water. When no chemical admixture was added, the blended cement of air-cooled slag showed higher fluidity and retention effect than those of the blended cement of the water-cooled slag. It seems that these discrepancies are caused by the initial hydration inhibition effect of cement by the $S_2O{_3}^{2-}$ ion of air-cooled slag. When a superplasticizer is added, the air-cooled slag used more superplasticizer than did the blast furnace slag for the same flow because the air-cooled slag had higher specific surface area due to the presence of micro-pores. Meanwhile, the blended cement of the air-cooled slag showed a greater fluidity retention effect than that of the blended cement of the water-cooled slag. This may be a combined effect of the increased use of superplasticizer and the presence of released $S_2O{_3}^{2-}$ ion; however, further, more detailed studies will need to be conducted.

팽창재와 수축저감제를 병용한 콘크리트의 건조수축 특성 (Drying Shrinkage of Concrete Combining Expansive Additives and Shrinkage Reducing Agent)

  • 한천구;한민철;송승헌;윤섭
    • 콘크리트학회논문집
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    • 제18권3호
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    • pp.397-404
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    • 2006
  • 본 연구에서는 콘크리트의 건조수축 저감을 위해 사용되는 팽창재와 수축저감제를 병용한 콘크리트의 배합 특성, 응결시간, 압축강도 및 건조수축특성에 대하여 분석하였다. 실험결과, 팽창재와 수축저감제의 혼입률이 증가할수록 유동성은 저하하여 SP제량을 증가시켜 주어야 하는 것으로 나타났고, 반면에 공기량은 증가하여 AE제 사용량이 감소하는 것으로 나타났다. 응결시간은 SP제량의 사용량의 증가에도 불구하고 약간 촉진되는 것으로 나타났는데, 이는 수축저감제의 알칼리 성분 및 팽창재의 에트린자이트 생성 촉진 효과에 기인한 것으로 사료된다. 또한 압축강도는 팽창제 혼입률 5.0%를 사용한 경우에서 최대가 되었고 그 이상의 혼입률에서 저하하였으며, 수축저감제는 혼입률 증가에 따라 저하하였는데, 팽창재와 수축저감제 혼입률이 각각 5.0%, 0.5%에서 플레인과 거의 같은 수준 강도를 나타내었다. 건조수축 특성으로는 팽창재와 수축저감제의 혼입률이 증가할수록 건조수축을 크게 저감할 수 있는 것으로 나타났는데, 특히 팽창재 및 수축저감제를 병용할 경우 복합상승 효과에 기인하여 이들을 단독으로 사용할 경우 보다 약 $5{\sim}16%$정도 건조수축이 추가적으로 저감함을 알수 있었다. 따라서 유동성, 강도 및 수축특성 등을 종합적으로 고려할 때, 본 연구의 실험 조건에서는 팽창재 5.0%, 수축저감제 0.5%인 조합이 최적의 혼입률인 것으로 분석되었다.

Long-term quality control of self-compacting semi-lightweight concrete using short-term compressive strength and combinatorial artificial neural networks

  • Mazloom, Moosa;Tajar, Saeed Farahani;Mahboubi, Farzan
    • Computers and Concrete
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    • 제25권5호
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    • pp.401-409
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    • 2020
  • Artificial neural networks are used as a useful tool in distinct fields of civil engineering these days. In order to control long-term quality of Self-Compacting Semi-Lightweight Concrete (SCSLC), the 90 days compressive strength is considered as a key issue in this paper. In fact, combined artificial neural networks are used to predict the compressive strength of SCSLC at 28 and 90 days. These networks are able to re-establish non-linear and complex relationships straightforwardly. In this study, two types of neural networks, including Radial Basis and Multilayer Perceptron, were used. Four groups of concrete mix designs also were made with two water to cement ratios (W/C) of 0.35 and 0.4, as well as 10% of cement weight was replaced with silica fume in half of the mixes, and different amounts of superplasticizer were used. With the help of rheology test and compressive strength results at 7 and 14 days as inputs, the neural networks were used to estimate the 28 and 90 days compressive strengths of above-mentioned mixes. It was necessary to add the 14 days compressive strength in the input layer to gain acceptable results for 90 days compressive strength. Then proper neural networks were prepared for each mix, following which four existing networks were combined, and the combinatorial neural network model properly predicted the compressive strength of different mix designs.

Modelling the performance of self-compacting SIFCON of cement slurries using genetic programming technique

  • Cevik, Abdulkadir;Sonebi, Mohammed
    • Computers and Concrete
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    • 제5권5호
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    • pp.475-490
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    • 2008
  • The paper explores the potential of applicability of Genetic programming approach (GP), adopted in this investigation, to model the combined effects of five independent variables to predict the mini-slump, the plate cohesion meter, the induced bleeding test, the J-fiber penetration value, and the compressive strength at 7 and 28 days of self-compacting slurry infiltrated fiber concrete (SIFCON). The variables investigated were the proportions of limestone powder (LSP) and sand, the dosage rates of superplasticiser (SP) and viscosity modifying agent (VMA), and water-to-binder ratio (W/B). Twenty eight mixtures were made with 10-50% LSP as replacement of cement, 0.02-0.06% VMA by mass of cement, 0.6-1.2% SP and 50-150% sand (% mass of binder) and 0.42-0.48 W/B. The proposed genetic models of the self-compacting SIFCON offer useful modelling approach regarding the mix optimisation in predicting the fluidity, the cohesion, the bleeding, the penetration, and the compressive strength.

프리믹스 시멘트 종류 변화 및 CGS 치환에 따른 콘크리트의 물리적 특성 (Physical Properties of Concrete According to Changing in The Types of Premix Cements and the Mixing Rate of CGS.)

  • 김수호;한수환;임군수;현승용;김종;한민철
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 가을 학술논문 발표대회
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    • pp.63-64
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    • 2021
  • In this study, Coal gasification slag(CGS) was replaced with fine aggregate to verify the physical properties of the concrete according to the change in cement types. As a result of the study, the use of CGS resulted in a decrease of superplasticizer and an decrease of AE agent. In addition, when 50% of mixed cement and CGS were replaced, the initial strength expression was delayed, and the strength enhancing effect was judged to be weak.

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Effect of medium coarse aggregate on fracture properties of ultra high strength concrete

  • Karthick, B.;Muthuraj, M.P.
    • Structural Engineering and Mechanics
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    • 제77권1호
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    • pp.103-114
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    • 2021
  • Ultra high strength concrete (UHSC) originally proposed by Richards and Cheyrezy (1995) composed of cement, silica fume, quartz sand, quartz powder, steel fibers, superplasticizer etc. Later, other ingredients such as fly ash, GGBS, metakaoline, copper slag, fine aggregate of different sizes have been added to original UHSC. In the present investigation, the combined effect of coarse aggregate (6mm - 10mm) and steel fibers (0.50%, 1.0% and 1.5%) has been studied on UHSC mixes to evaluate mechanical and fracture properties. Compressive strength, split tensile strength and modulus of elasticity were determined for the three UHSC mixes. Size dependent fracture energy was evaluated by using RILEM work of fracture and size independent fracture energy was evaluated by using (i) RILEM work of fracture with tail correction to load - deflection plot (ii) boundary effect method. The constitutive relationship between the residual stress carrying capacity (σ) and the corresponding crack opening (w) has been constructed in an inverse manner based on the concept of a non-linear hinge from the load-crack mouth opening plots of notched three-point bend beams. It was found that (i) the size independent fracture energy obtained by using above two approaches yielded similar value and (ii) tensile stress increases with the increase of % of fibers. These two fracture properties will be very much useful for the analysis of cracked concrete structural components.

Development of an integrated machine learning model for rheological behaviours and compressive strength prediction of self-compacting concrete incorporating environmental-friendly materials

  • Pouryan Hadi;KhodaBandehLou Ashkan;Hamidi Peyman;Ashrafzadeh Fedra
    • Structural Engineering and Mechanics
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    • 제86권2호
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    • pp.181-195
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    • 2023
  • To predict the rheological behaviours along with the compressive strength of self-compacting concrete that incorporates environmentally friendly ingredients as cement substitutes, a comparative evaluation of machine learning methods is conducted. To model four parameters, slump flow diameter, L-box ratio, V-funnel time, as well as compressive strength at 28 days-a complete mix design dataset from available pieces of literature is gathered and used to construct the suggested machine learning standards, SVM, MARS, and Mp5-MT. Six input variables-the amount of binder, the percentage of SCMs, the proportion of water to the binder, the amount of fine and coarse aggregates, and the amount of superplasticizer are grouped in a particular pattern. For optimizing the hyper-parameters of the MARS model with the lowest possible prediction error, a gravitational search algorithm (GSA) is required. In terms of the correlation coefficient for modelling slump flow diameter, L-box ratio, V-funnel duration, and compressive strength, the prediction results showed that MARS combined with GSA could improve the accuracy of the solo MARS model with 1.35%, 11.1%, 2.3%, as well as 1.07%. By contrast, Mp5-MT often demonstrates greater identification capability and more accurate prediction in comparison to MARS-GSA, and it may be regarded as an efficient approach to forecasting the rheological behaviors and compressive strength of SCC in infrastructure practice.

팽창재와 수축저감제를 조합 사용한 고성능콘크리트의 기초물성 및 수축특성 (Fundamental and Shrinkage Properties of High Performance Concrete in Combined with Expansive Additive and Shrinkage Reducing Agent)

  • 한천구;김성욱;고경택;한민철
    • 콘크리트학회논문집
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    • 제16권5호
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    • pp.605-612
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    • 2004
  • 본 연구에서는 W/B $30\%$의 고성능 콘크리트에서 팽창재와 수축저감제 병용 사용에 따른 콘크리트의 기초적 특성 및 수축특성에 대하여 분석하였다. 실험결과, 고성능 콘크리트의 유동성은 팽창재와 수축저감제를 단독사용보다 병용사용일 때 더 크게 저하하여 고성능 감수제의 사용량이 증가되었고, 공기량은 증가하여 AE제의 사용량이 감소되었다. 또한, 압축강도는 팽창재량의 혼입률 $5.0\%$를 사용한 경우가 최대가 되고, 수축저감제는 사용량 증가에 따라 저하되는 것으로 나타났다. 고성능콘크리트의 건조수축 및 자기수축을 저감시키기 위해서는 팽창재와 수축저감제를 혼합하여 사용할 때 가장 양호한 결과가 나타났다. 따라서 유동성, 강도 및 수축특성을 종합적으로 고려한 결과, 본 연구실험 조건에서는 팽창재 $5.0\%$, 수축저감제 $1.0\%$의 조합이 최적배합으로 분석되었다.