• 제목/요약/키워드: Concrete Mix Design

검색결과 469건 처리시간 0.029초

시멘트 콘크리트의 배합조건에 따른 pH 저감에 관한 연구 (A Study on the pH Reduction of Cement Concrete with Various Mixing Conditions)

  • 조영국
    • 한국건축시공학회지
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    • 제8권4호
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    • pp.79-85
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    • 2008
  • The purpose of this study is to evaluate the mix design of pH reducing cement concrete which can be used for environment-friendly concrete. Cement pastes and concretes are prepared with water-binder ratios and various admixtures such as blast-furnace slag, fly ash and recycled cement, and tested for compressive strength and pH. pH is measured through pore solution expressed from hydrated cement paste by special apparatus. From the test results, regardless of water-binder ratio, The pH of expressed pore solution from hydrated cement paste which is made of ordinary portland cement with blast-furnace slag, fly ash is decreased with increasing of admixtures content, and compressive strength is also slightly improved. The compressive strength of cement paste made of recycled cement which is burnt at $1000^{\circ}C$, for 2 hours is considerably increased compared with that of none-burnt recycled cement due to restoration of hydraulic property, but pH is a little higher. Porous concrete with ordinary portland cement has high pH in the range of 12.22 to 12.59, however, that is reduced to the range of 8.95 to 10.39 by carbonation at the surface of porous concrete. The pH reduction of porous concrete is possible by various admixture addition, however their degrees are very slight. Therefore, to reduce the pH considerably, carbonation method of porous concrete is better in pH reduction methods for plant survival condition of pH of 9.0 or less. In this study, it is apparent that pH for the environment-friendly porous concrete products used in the construction field can be suppressed by this carbonation method and various admixtures addition.

폐지섬유보강 시멘트 복합체의 최적배합비 도출 (Optimum Mix Design for Waste Newsprint Paper Fiber Reinforced Cement Composites)

  • 원종필;배동인;박찬기;박종영
    • 콘크리트학회논문집
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    • 제13권4호
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    • pp.346-353
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    • 2001
  • 본 연구는 얇은 시멘트판 제품의 보강재로써 건조공정에 의해 생산된 폐지섬유의 최적 배합비를 도출하기 위하여 수행되었다. 이를 위해 순수 목질섬유 대비 폐지섬유의 대체수준을 세분화하여 실험을 실시하였으며, 슬러리-탈수 공법을 사용하여 폐지섬유보강 시멘트 복합체를 제조하였다. 본 연구는 실험적 연구와 반응표면 분석법을 활용한 통계적 분석을 통해 공정인자(가압, 비가압)과 섬유보강재 조건(섬유혼입율, 순수섬유 대체수준)을 최적화하였다. 최적화된 재생 폐지섬유 시멘트 복합체를 기술적으로 분석하였으며, 그 결과, 폐지섬유보강 시멘트 복합체의 성능과 경제적 측면에서 폐지섬유의 재활용이 가능하리라 판단된다.

Behaviour of steel-fibre-reinforced concrete beams under high-rate loading

  • Behinaein, Pegah;Cotsovos, Demetrios M.;Abbas, Ali A.
    • Computers and Concrete
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    • 제22권3호
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    • pp.337-353
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    • 2018
  • The present study focuses on examining the structural behaviour of steel-fibre-reinforced concrete (SFRC) beams under high rates of loading largely associated with impact problems. Fibres are added to the concrete mix to enhance ductility and energy absorption, which is important for impact-resistant design. A simple, yet practical non-linear finite-element analysis (NLFEA) model was used in the present study. Experimental static and impact tests were also carried out on beams spanning 1.3 meter with weights dropped from heights of 1.5 m and 2.5 m, respectively. The numerical model realistically describes the fully-brittle tensile behaviour of plain concrete as well as the contribution of steel fibres to the post-cracking response (the latter was allowed for by conveniently adjusting the constitutive relations for plain concrete, mainly in uniaxial tension). Suitable material relations (describing compression, tension and shear) were selected for SFRC and incorporated into ABAQUS software Brittle Cracking concrete model. A more complex model (i.e., the Damaged Plasticity concrete model in ABAQUS) was also considered and it was found that the seemingly simple (but fundamental) Brittle Cracking model yielded reliable results. Published data obtained from drop-weight experimental tests on RC and SFRC beams indicates that there is an increase in the maximum load recorded (compared to the corresponding static one) and a reduction in the portion of the beam span reacting to the impact load. However, there is considerable scatter and the specimens were often tested to complete destruction and thus yielding post-failure characteristics of little design value and making it difficult to pinpoint the actual load-carrying capacity and identify the associated true ultimate limit state (ULS). To address this, dynamic NLFEA was employed and the impact load applied was reduced gradually and applied in pulses to pinpoint the actual failure point. Different case studies were considered covering impact loading responses at both the material and structural levels as well as comparisons between RC and SFRC specimens. Steel fibres were found to increase the load-carrying capacity and deformability by offering better control over the cracking process concrete undergoes and allowing the impact energy to be absorbed more effectively compared to conventional RC members. This is useful for impact-resistant design of SFRC beams.

자전거도로용 롤러 전압 콘크리트 포장의 시공 방안 연구 (A Study on Construction Methods of Roller Compacted Concrete Pavement for Bike Roads)

  • 이창호;김영규;김재규;박철우;이승우
    • 한국도로학회논문집
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    • 제13권2호
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    • pp.103-114
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    • 2011
  • 전 세계적으로 에너지 절약과 $CO_2$ 발생량의 절감을 위해 자전거의 이용을 장려하고 있으며 국내에서도 이러한 세계적 흐름에 발맞추어 자전거 이용을 활성화하기 위해 긴 연장의 신설 자전거도로 건설 계획이 진행되고 있다. 최근 신설 자전거도로의 효과적인 건설을 위해 시멘트 수화 반응뿐만 아니라 골재 맞물림에 의해 높은 구조적 성능을 발현하고 간단한 시공절차와 적은 건설비용을 지닌 롤러 전압 콘크리트 포장을 도입하기 위해 적정 배합에 대한 강도 및 내구성 연구가 수행되었다. 하지만 실내 연구를 통해 도출된 배합은 현장다짐에 따라 발현되는 강도에 차이가 있을 수 있다. 또한 얇은 단면, 낮은 강도 등 일반 도로 포장과 요구되는 성능이 상이한 자전거도로의 적정 성능 및 공용성을 확보하기 위한 시공 방안이 정립되어 있지 않다. 따라서 본 연구에서는 실내 연구 결과를 토대로 다양한 배합 및 다짐 조건에 대한 시험시공을 실시하여 코어 물성 검토, 육안관찰, 혼합물의 함수비, 다짐률, 전압률, 미끄럼저항성 및 평탄성을 측정하였다. 이를 통하여 자전거도로 적용을 위한 롤러 전압 콘크리트 포장의 시공방안을 제시하였다.

투수성 폴리머 블록 포장에 의한 우수 유출 저감 효과에 관한 실험적 연구 (Experimental Study on Rainfall Runoff Reduction Effects by Permeable Polymer Block Pavement)

  • 성찬용;김영익
    • 한국농공학회논문집
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    • 제54권2호
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    • pp.157-166
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    • 2012
  • Most of the roads are paved with impermeable materials such as asphalt concrete and cement concrete, and in the event of heavy rainfall, rainwater directly flows into river through a drainage hole on the pavement surface. This large quantity of rainwater directly spilled into the river frequently leads to the flooding of urban streams, damaging lowlands and the lower reaches of a river. In recent years there has been a great deal of ongoing research concerning water permeability and drainage in pavements. Accordingly, in this research, a porous polymer concrete was developed for permeable pavement by using unsaturated polyester resin as a binder, recycled aggregate as coarse aggregate, fly ash and blast furnace slag as filler, and its physical and mechanical properties were investigated. Also, 3 types of permeable polymer block by optimum mix design were developed and rainfall runoff reduction effects by permeability pavement using permeable polymer block were analyzed based on hydraulic experimental model. The infiltration volume, infiltration ratio, runoff initial time and runoff volume in permeability pavement with permeable polymer block of $300{\times}300{\times}80$ mm were evaluated for 50, 100 and 200mm/hr rainfall intensity.

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.

Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars

  • Asteris, Panagiotis G.;Apostolopoulou, Maria;Skentou, Athanasia D.;Moropoulou, Antonia
    • Computers and Concrete
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    • 제24권4호
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    • pp.329-345
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    • 2019
  • Despite the extensive use of mortar materials in constructions over the last decades, there is not yet a robust quantitative method, available in the literature, which can reliably predict mortar strength based on its mix components. This limitation is due to the highly nonlinear relation between the mortar's compressive strength and the mixed components. In this paper, the application of artificial neural networks for predicting the compressive strength of mortars has been investigated. Specifically, surrogate models (such as artificial neural network models) have been used for the prediction of the compressive strength of mortars (based on experimental data available in the literature). Furthermore, compressive strength maps are presented for the first time, aiming to facilitate mortar mix design. The comparison of the derived results with the experimental findings demonstrates the ability of artificial neural networks to approximate the compressive strength of mortars in a reliable and robust manner.

시험시공을 통한 소입경 골재노출 콘크리트 포장의 배합, 시공 및 품질관리 기준 제안 (A Suggestion of Mix, Construction Method and Quality Control Criteria of Fine-size Exposed Aggregate PCC Pavement by Experimental Construction)

  • 이승우;김영규;최돈화;심재원;유태석
    • 한국도로학회논문집
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    • 제13권3호
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    • pp.51-63
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    • 2011
  • 소입경 골재노출콘크리트포장은 콘크리트 포장 시공 시 포장표면에 적정 응결지연제를 분사한 후 표면 모르타르를 제거하여 굵은 골재를 노출시킴으로서 표면조직을 형성하는 공법으로써 기존 콘크리트 포장의 소음문제를 해결할 수 있는 저소음 공법이다. 소입경 골재노출 콘크리트 포장은 강도를 크게 개선할 뿐만 아니라 소음저감 효과 및 우수한 미끄럼 저항성을 확보하여 도로이용자의 안정성을 확보할 수 있는 공법이다. 현재 국외 도로 선진국의 경우 골재노출 포장의 상용화가 이루어진 상태이지만 국내의 경우는 실용화 초기단계이기 때문에 현장적용을 위해서는 국내 여건에 맞는 합리적인 관리 기준이 필요하다. 이를 위하여 소입경 골재노출 콘크리트 포장의 최적배합 및 노출기법 연구, 굵은 골재의 선정 및 입도 설계, 환경하중 저항성 평가 등 실내시험을 수행하였으며, 소입경 골재노출 콘크리트 포장의 시공을 위한 시공 장비를 제작하였다. 따라서 본 연구에서는 시험시공을 통해 도출된 결과와 기존 실내시험에서 도출된 결과를 비교 분석하였으며, 시험시공 분석을 통하여 골재 탈리 방지, 강도 및 내구성 확보를 위한 표준배합을 제시하였다. 환경 및 시공조건이 상이한 3차례 시험시공 구간을 선정하여 시공현장여건에 유동성으로 대처할 수 있는 시공 기술 및 시공 기준을 제시하였다. 또한 장 단기 공용성 평가를 통하여 도로 포장의 기능성 측면에서 우수한 소음저감 및 미끄럼 저항성을 확보할 수 있는 노면조직의 품질관리 기준을 제시하였다.

Evaluation of the parameters affecting the Schmidt rebound hammer reading using ANFIS method

  • Toghroli, Ali;Darvishmoghaddam, Ehsan;Zandi, Yousef;Parvan, Mahdi;Safa, Maryam;Abdullahi, Muazu Mohammed;Heydari, Abbas;Wakil, Karzan;Gebreel, Saad A.M.;Khorami, Majid
    • Computers and Concrete
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    • 제21권5호
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    • pp.525-530
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    • 2018
  • As a nondestructive testing method, the Schmidt rebound hammer is widely used for structural health monitoring. During application, a Schmidt hammer hits the surface of a concrete mass. According to the principle of rebound, concrete strength depends on the hardness of the concrete energy surface. Study aims to identify the main variables affecting the results of Schmidt rebound hammer reading and consequently the results of structural health monitoring of concrete structures using adaptive neuro-fuzzy inference system (ANFIS). The ANFIS process for variable selection was applied for this purpose. This procedure comprises some methods that determine a subsection of the entire set of detailed factors, which present analytical capability. ANFIS was applied to complete a flexible search. Afterward, this method was applied to conclude how the five main factors (namely, age, silica fume, fine aggregate, coarse aggregate, and water) used in designing concrete mixture influence the Schmidt rebound hammer reading and consequently the structural health monitoring accuracy. Results show that water is considered the most significant parameter of the Schmidt rebound hammer reading. The details of this study are discussed thoroughly.

前 龜裂을 준 鋼纖維 콘크리트보의 破壞特性 (Fracture Charateristics of the Pre-Cracked fibrous Concrete Beams)

  • 곽계환;박종건;박세웅
    • 한국농공학회지
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    • 제34권2호
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    • pp.49-59
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    • 1992
  • In our researches we made mix-design, with the mixing ratio and pre-cracked ratio of steel fibrous different from each other, building the steel fibrous concrete beam which had pre-cracks. To obtain the fracture characteristics of steel fibrous reinforced concrete, series of experiment were conducted on pre-cracked beam subjected to 3-point bending. Thus, we carried out experiments on the destructive characteristics of its pre-crack and post-crack and the result is as follows. 1. The compressive strength of steel fibrous concrete beam increased more slightly than plane beam, and the tensile strength increased 37%, 59%, 94% and 121% respectively when the amount of fibrous was 0.5%, 0.1% 1.5%, and 1.75% respectively. 2. As the amount of steel fibrous mixing increased ant the steel fibrous inhibited the crack growth, the crack condition of steel fibrous concrete beam was retarded irregularly, and this increased fracture load. 3. The defiance of destruction was reduced in the ratio of 1.35 times and 1.22 times respectively when the length of pre-crack was each 2cm and 4cm in comparison with the case of being without the length, and was similar to that of plane beam when the amount of steel fibrous mixing was below 1.0%, and increased linearly when it as above 1.0%. 4. The experimental formula seeking fracture energy was follows and thus we found that the value of fracture energy depended upon tensile strength and the size of speciment. $G_f=K\;{\cdot}\;f_f^'{\cdot}$da/Ec 5. We observed that in the load-strain curve of steel fibrous concrete beam the progress of the crack became slow, compared with plane beam because the crack condition became long to the extent of about 10 times. Concrete was faultiest brittleness fracture through the study, it was known ductile.

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