• 제목/요약/키워드: supplementary cementing materials

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Sustainable concrete mix design for a target strength and service life

  • Tapali, Julia G.;Demis, Sotiris;Papadakis, Vagelis G.
    • Computers and Concrete
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    • 제12권6호
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    • pp.755-774
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    • 2013
  • Considering the well known environmental issues of cement manufacturing (direct and indirect levels of $CO_2$ emissions), clinker replacement by supplementary cementing materials (SCM) can be a very promising first step in reducing considerably the associated emissions. However, such a reduction is possible up to a particular level of SCM utilization, influenced by the rate of its pozzolanic reaction. In this study a (4-step) structured methodology is proposed in order to be able to further adjust the concrete mix design of a particular SCM, in achieving additional reduction of the associated levels of $CO_2$ emissions and being at the same time accepted from a derived concrete strength and service life point of view. On this note, the aim of this study is twofold. To evaluate the environmental contribution of each concrete component and to provide the best possible mix design configuration, balanced between the principles of sustainability (low environmental cost) and durability (accepted concrete strength and service life ). It is shown that such a balance can be achieved, by utilising SCM by-products in the concrete mix, reducing in this way the fixed environmental emissions without compromising the long-term safety and durability of the structure.

혼화재에 따른 모르타르 건조수축-비교 연구 (Effects of supplementary cementitious materials on drying shrinkage of cement mortar - a comparative study)

  • 최훈제;최성규;박충훈;김백중;이종구;강경인
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2013년도 추계 학술논문 발표대회
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    • pp.158-159
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    • 2013
  • In this study, effects of supplementary cementitious materials(fly ash, blast furnace slag and waste glass) on drying shrinkage of cement mortar were compared and evaluated. The results showed drying shrinkage of cement mortar using blast furnace slag and waste glass is larger than shrinkage due to capillary pressure, while using fly ash is smaller.

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화산회 가루를 사용함에 의한 CO2-저방출 포트랜드-혼합 시멘트 제조 (Portland-Blended Cement with Reduced CO2 using Trass Pozzolan)

  • Manaf, A.;Indrawati, V.
    • 대한화학회지
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    • 제55권3호
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    • pp.490-494
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    • 2011
  • 이산화탄소 방출을 줄이기 위해 포트랜드 시멘트 성분 일부를 시멘트 보충재를 혼합해준 시멘트의 제조에 대해 연구하였다. 이산화탄소를 0.18 kg $CO_2$/kg 정도 줄이기 위해 포트랜드 시멘트에 보충재를 20 wt% 정도 혼합하였다. 이 혼합시멘트의 압축 강도는 포트랜드 시멘트 ASTM C-150의 표준치를 초과하며, 28일간의 굳는 과정중에 37 MPa의 압축 강도를 가졌다. 혼합시멘트의 미세구조는 포트랜드 시멘트와 유사하였다.

플라리애쉬 콘크리트의 내구성 (Durability of Fly Ash Concrete)

  • 오병환;김광수;장승엽;김진춘;최롱
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1998년도 가을 학술발표회 논문집(I)
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    • pp.121-126
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    • 1998
  • Increased costs for cement have favoured the use of supplementary cementing materials in concrete. The use of fly ash in concrete has increased in the past few years. Concrete have been selected for use as a construction material in aggressive environment. The use of fly ash as concrete material has a role, and an understanding of its effect on concrete durability is essential to its correct and economical application. In this study, durability tests including permeability, freezing thawing resistance for Korean fly ash concrete are conducted. The durability characteristics of fly ash concrete are discussed.

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Simulation of Hydration of Portland Cement Blended With Mineral Admixtures

  • Wang, Xiaoyong;Lee, Han-Seung
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2009년도 춘계 학술대회 제21권1호
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    • pp.565-566
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    • 2009
  • Supplementary cementing materials (SCM), such as silica fume, slag, and low-calcium fly ash, have been widely used as mineral admixtures in high strength and high performance concrete. Due to the chemical and physical effect of SCM on hydration, compared with Portland cement, hydration process of cement incorporating SCM is much more complex. This paper presents a numerical hydration model which is based on multi-component concept and can simulate hydration of cement incorporating SCM. The proposed model starts with mixture proportion of concrete and considers both chemical and physical effect of SCM on hydration. Using this proposed model, this paper predicts the following properties of hydrating cement-SCM blends as a function of hydration time: reaction ratio of SCM, calcium hydroxide content, heat evolution, porosity, chemically bound water and the development of the compressive strength of concrete. The prediction results agree well with experiment results.

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An Integrated System to Predict Early-Age Properties and Durability Performance of Concrete Structures

  • 왕소용;이한승
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2010년도 춘계 학술대회 제22권1호
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    • pp.465-466
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    • 2010
  • In this paper, an integrated system is proposed which can evaluate both the early-age properties and durability performance of concrete structures. This integrated system starts with a hydration model which considers both Portland cement hydration and chemical reactions of supplementary cementing materials (SCM). Based on the degree of hydration of cement and mineral admixtures, the amount of reaction products, the early age heat evolution, chemically bound water, porosity, the early age short-term mechanical behaviors, shrinkage and early-age creep are evaluated as a function of curing age and curing conditions. Furthermore, the durability aspect, such as carbonation of blended concrete and chloride attack, are evaluated considering both the material properties and surrounding environments. The prediction results are verified through experimental results.

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Elaboration and characterization of fiber-reinforced self-consolidating repair mortar containing natural perlite powder

  • Benyahia, A.;Ghrici, M.;Mansour, M. Said;Omran, A.
    • Advances in concrete construction
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    • 제5권1호
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    • pp.1-15
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    • 2017
  • This research project aimed at evaluating experimentally the effect of natural perlite powder as an alternative supplementary cementing material (SCM) on the performance of fiber reinforced self-consolidating repair mortars (FR-SCRMs). For this purpose, four FR-SCRMs mixes incorporating 0%, 10%, 20%, and 30% of natural perlite powder as cement replacements were prepared. The evaluation was based on fresh (slump flow, flow time, and unit weight), hardened (air-dry unit weight, compressive and flexural strengths, dynamic modulus of elasticity), and durability (water absorption test) performances. The results reveal that structural repair mortars confronting the performance requirements of class R4 materials (European Standard EN 1504-3) could be designed using 10%, 20%, and 30% of perlite powder as cement substitutions. Bonding results between repair mortars containing perlite powder and old concrete substrate investigated by the slant shear test showed good interlocking justifying the effectiveness of these produced mortars.

Modeling of mechanical properties of roller compacted concrete containing RHA using ANFIS

  • Vahidi, Ebrahim Khalilzadeh;Malekabadi, Maryam Mokhtari;Rezaei, Abbas;Roshani, Mohammad Mahdi;Roshani, Gholam Hossein
    • Computers and Concrete
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    • 제19권4호
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    • pp.435-442
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    • 2017
  • In recent years, the use of supplementary cementing materials, especially in addition to concrete, has been the subject of many researches. Rice husk ash (RHA) is one of these materials that in this research, is added to the roller compacted concrete as one of the pozzolanic materials. This paper evaluates how different contents of RHA added to the roller compacted concrete pavement specimens, can influence on the strength and permeability. The results are compared to the control samples and determined optimal level of RHA replacement. As it was expected, RHA as supplementary cementitious materials, improved mechanical properties of roller compacted concrete pavement (RCCP). Also, the application of adaptive neuro-fuzzy inference system (ANFIS) in predicting the permeability and compressive strength is investigated. The obtained results shows that the predicted value by this model is in good agreement with the experimental, which shows the proposed ANFIS model is a useful, reliable, fast and cheap tool to predict the permeability and compressive strength. A mean relative error percentage (MRE %) less than 1.1% is obtained for the proposed ANFIS model. Also, the test results and performed modeling show that the optimal value for obtaining the maximum compressive strength and minimum permeability is offered by substituting 9% and 18% of the cement by RHA, respectively.

A software-assisted comparative assessment of the effect of cement type on concrete carbonation and chloride ingress

  • Demis, S.;Papadakis, V.G.
    • Computers and Concrete
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    • 제10권4호
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    • pp.391-407
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    • 2012
  • Utilization of supplementary cementing materials (SCM) by the cement industry, as a highly promising solution of sustainable cement development aiming to reduce carbon dioxide emissions, necessitates a more thorough evaluation of these types of materials on concrete durability. In this study a comparative assessment of the effect of SCM on concrete durability, of every cement type as defined in the European Standard EN 197-1 is taking place, using a software tool, based on proven predictive models (according to performance-related methods for assessing durability) developed and wide-validated for the estimation of concrete service life when designing for durability under harsh environments. The effect of Type II additives (fly ash, silica fume) on CEM I type of cement, as well as the effect of every Portland-composite type of cement (and others) are evaluated in terms of their performance in carbonation and chloride exposure, for a service life of 50 years. The main aim is to portray a unified and comprehensive evaluation of the efficiency of SCM in order to create the basis for future consideration of more types of cement to enter the production line in industry.

Compressive strength prediction of limestone filler concrete using artificial neural networks

  • Ayat, Hocine;Kellouche, Yasmina;Ghrici, Mohamed;Boukhatem, Bakhta
    • Advances in Computational Design
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    • 제3권3호
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    • pp.289-302
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    • 2018
  • The use of optimum content of supplementary cementing materials (SCMs) such as limestone filler (LF) to blend with Portland cement has been resulted in many environmental and technical advantages, such as increase in physical properties, enhancement of sustainability in concrete industry and reducing $CO_2$ emission are well known. Artificial neural networks (ANNs) have been already applied in civil engineering to solve a wide variety of problems such as the prediction of concrete compressive strength. The feed forward back propagation (FFBP) algorithm and Tan-sigmoid transfer function were used for the ANNs training in this study. The training, testing and validation of data during the backpropagation training process yielded good correlations exceeding 97%. A parametric study was conducted to study the sensitivity of the developed model to certain essential parameters affecting the compressive strength of concrete. The effects and benefits of limestone filler on hardened properties of the concrete such as compressive strength were well established endorsing previous results in the literature. The results of this study revealed that the proposed ANNs model showed a high performance as a feasible and highly efficient tool for simulating the LF concrete compressive strength prediction.