• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1995년도 봄 학술발표회 논문집
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• pp.42-47
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• 1995

The flow properties of xoncrete depend on form of fine aggregate, the ratio of voides of fine aggregate and cement paste So, in this study, investigated for the improvement of rheology properties on mortar and paste replaced by Zeolite $\circled1$ The slump flow have to do with correlation on yielding value of mortar respectirely. $\circled2$The increase ratio of strength Mortar and paste 10% replaced by Zeolite was presented significently but the slump flow was decteased stiffly as the increase of plastic viscosity at the ratio of replacement over 10%

• 한국구조물진단유지관리공학회 논문집
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• 제17권5호
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• pp.77-86
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• 2013

본 연구는 물-결합재 비 (W/B)와 잔골재-결합재 비 (F/B)에 따른 알칼리 활성화 슬래그 시멘트 (AASC)의 기초 특성에 관한 연구이다. W/B 비는 0.35, 0.40, 0.45, 그리고 0.50를 선정하였다. 그리고 F/B 비는 1.00에서 3.00까지 0.25 크기로 고려하였다. 알칼리 활성화제는 2M과 4M의 NaOH를 사용하였다. 실험은 플로우, 흡수율, 압축강도, 초음파 속도 그리고 건조수축을 측정하여 비교하였다. 플로우, 압축강도, 흡수율, 초음파 속도 그리고 건조수축 모두 W/B 비가 증가하면 감소하였다. 압축강도는 동일 W/B 비에서 F/B 비가 증가할수록 감소하였다. 또한 특정 F/B 비에서 강도가 증가하는 것을 볼 수 있었다. 그리고 S2 (river sand 2)는 S1 (river sand 1)보다 낮은 물리적 특성을 나타냈는데, 이는 조립률 때문으로 판단된다. 본 실험의 결과 AASC의 공학적 특성은 W/B 비와 F/B 비가 영향을 주는 것으로 판단된다. 최적의 F/B 비는 각 W/B 비에 대해 1.75~2.50 인 것으로 생각된다. 또한 W/(B+F) 비가 0.13과 0.14 사이일 때 AASC 모르타르의 배합설계가 효과적일 것으로 판단된다.

• 한국도로학회논문집
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• 제10권4호
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• pp.189-198
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• 2008

일반적으로 UFFA(Ultra Fine Fly Ash)는 일반 플라이 애시보다 워커빌리티를 더 좋게 하고 포졸란 반응을 더 크게 활성화시키는 특성을 가지고 있으며, 이와 같은 특성이 콘크리트의 내구성을 더욱 향상시키는 것으로 보고되고 있다. 본 연구에서는 이러한 UFFA의 특성을 활용하여 초속경시멘트에 UFFA를 첨가한 콘크리트 혼합물이 조기교통개방용 콘크리트포장 보수재료로서 활용이 가능한지 여부를 판단하고자 하였다. 기 연구에서는 초속경시멘트에 UFFA만을 첨가할 경우, 포졸란 반응이 크게 활성화되지 못하여 내구성 증진에 큰 효과가 나타나지 않았다. 이에 본 연구에서는 초속경시멘트와 UFFA에 수산화칼슘을 추가로 첨가하여 제조된 콘크리트 혼합물의 포졸란 반응 발생여부를 판단하고, 이것이 콘크리트 물성에 어떠한 영향을 미치는지를 분석하였다. 본 연구결과, 초속경시멘트에 UFFA를 첨가할 경우 W/C비를 크게 낮출 수 있어 콘크리트의 조기강도 저감부분을 충분히 상쇄시킬 수 있는 것으로 나타났다. 또한 X-선회절분석과 염소이온침투저항성 실험결과를 볼 때 수산화칼슘 첨가에 따른 UFFA초속경 콘크리트의 포졸란반응이 첨가하지 않은 것에 비하여 더 크게 활성화되는 것으로 나타났으며, 특히 수산화칼슘 첨가량이 증가함에 따라 UFFA 초속경 콘크리트의 투수저항성이 전반적으로 증진됨을 알 수 있었다.

• 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.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.441-444
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• 2008

본 연구에서의 초고성능 콘크리트(Ultra High Performance Concrete, UHPC)는 모래, 시멘트, 실리카퓸, 석영미분말, 강섬유 및 고성능감수제 등으로 구성되며, 평균입경 약 0.5mm이하의 아주 작은 입자들로 구성된다. 일반적으로 석영미분말는 일정크기 이상의 공극을 메움으로써 물리적 성능개선의 효과가 있으며 또한 높은 $SiO_2$함량을 가지므로 고온 또는 고압의 양생조건에서 시멘트 수화물과의 화학반응을 통해서도 성능 향상효과가 있는 것으로 알려져 있다. 본 연구에서는 상압, $90^{\circ}C$ 증기양생 조건에서 석영미분말의 입자크기가 초고성능 콘크리트의 역학적 특성에 어떠한 영향을 미치는지에 대해 알아보고자 하였으며, 평가항목으로는 굳지 않은 상태에서의 유동성과 굳은 상태에서의 압축강도, 극한변형률, 탄성계수 및 휨강도를 평가하였다. 석영미분말의 입경크기의 영향은 약 $2{\mu}m$에서 $26{\mu}m$까지의 범위에서 고려하였으며, 입경 크기가 작을수록 유동성 및 강도특성이 모두 향상되는 것으로 나타났다.

• Computers and Concrete
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• 제21권2호
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• pp.167-179
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• 2018

Reactive powder concrete (RPC) is a type of ultra-high strength cement-based material with a dense microstructure, which is made of ultra-fine powders. RPC demonstrate a very brittle behavior, thus adding fibers improves its mechanical properties. In this study, it was attempted to investigate the effect of using steel and polyvinyl alcohol (PVA) fibers as well as their combination on the properties of RPC. In this regard, hooked-end crimped steel fibers together with short PVA fibers were utilized. Steel and PVA fibers were used with the maximum volume fraction of 3% and 0.75%, respectively, and also different combinations of these fibers were used with the maximum volume fraction of 1% in the concrete mixes. In total, 107 concrete specimens were prepared, and the effect of fiber type and volume fraction on the physico-mechanical properties of RPC including compressive strength, tensile strength, modulus of elasticity, density, and failure mode was explored. In addition, the effect of the curing type on the properties of compressive strength, modulus of elasticity, and density of RPC was evaluated. Finally, coefficients for conversion of cubic compressive strength to cylindrical one for the RPC specimens were obtained under the two curing regimes of heat treatment and standard water curing.

• 한국건설순환자원학회논문집
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• 제9권3호
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• pp.246-252
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• 2021

초속경 시멘트 모르타르에 KS 기준보다 흡수율이 높고 비중이 낮은 저품질의 순환골재가 혼입되었을 때 모르타르의 기초물성과 부피안정성을 실험적으로 확인하였다. 순환골재를 사용하지 않는 배합은 관련 업체에서 사용하고 있는 일반 보수 모르타르의 것을 따랐다. 라텍스 혼입 및 미혼입 배합에 대해 잔골재에 대해 부피비로 15%, 30% 치환하였으며, 모르타르의 슬럼프, 응결시간, 압축/휨강도, 그리고 밀봉/노출 양생에 따른 길이변화량을 확인해 보았다. 실험 결과 저품질의 순환골재가 사용될 때, 사용하지 않은 경우에 비해 24시간 이내 극초기 강도가 최대 50%까지 감소하거나, 건조수축이 최대 2배 까지 증가할 위험이 있는 것을 확인하였다.

• Advances in concrete construction
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• 제16권3호
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• pp.169-176
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• 2023

The aim of the study was to establish the influence of particle size, chemical and phase composition of fine microspherical high-calcium fly ash (HCFA), as well as superplasticizer content on the strength of cementless composite materials based on 100% HCFA and mixtures of HCFA with Portland cement (PC). For the initial HCFA fractions, the particle size distribution, chemical and quantitative phase composition were determined. The compressive strength of cured composite materials obtained at W/B 0.4 and 0.25 was determined at a curing time of 3-300 days. For cementless materials, it was found that a change in the particle size d90 from 30 ㎛ (fraction 3) to 10 ㎛ (fraction 4) leads to an increase in compressive strength by more than 2 times. Compressive strength increases by at least another 2.2 times with the addition of Melflux 5581F superplasticizer (0.12%) and at W/B 0.25. The HCFA-PC blends were investigated in the range of 60-90% HCFA and the maximum compressive strength was found at 80% HCFA. On the basis of 80% HCFA-20% PC blend, the samples of ultra-high strength (108 and 150 MPa at 28 and 100 days of hardening) were obtained with the addition of 0.3% Melflux 5581F and 5% silica fume. The quantitative phase composition was determined for composite materials with a curing age of 28 days. It has been established that in a sample with ultra-high strength, a more complete transformation of the initial phases of both HCFA and PC occurs as compared to their transformation separately.

• Computers and Concrete
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• 제32권3호
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• pp.327-337
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• 2023

Concrete is the most widely used building material, with various types including high- and ultra-high-strength, reinforced, normal, and lightweight concretes. However, accurately predicting concrete properties is challenging due to the geotechnical design code's requirement for specific characteristics. To overcome this issue, researchers have turned to new technologies like machine learning to develop proper methodologies for concrete specification. In this study, we propose a highly accurate deep learning-based predictive model to investigate the compressive strength (UCS) of lightweight concrete with natural aggregates (pumice). Our model was implemented on a database containing 249 experimental records and revealed that water, cement, water-cement ratio, fine-coarse aggregate, aggregate substitution rate, fine aggregate replacement, and superplasticizer are the most influential covariates on UCS. To validate our model, we trained and tested it on random subsets of the database, and its performance was evaluated using a confusion matrix and receiver operating characteristic (ROC) overall accuracy. The proposed model was compared with widely known machine learning methods such as MLP, SVM, and DT classifiers to assess its capability. In addition, the model was tested on 25 laboratory UCS tests to evaluate its predictability. Our findings showed that the proposed model achieved the highest accuracy (accuracy=0.97, precision=0.97) and the lowest error rate with a high learning rate (R2=0.914), as confirmed by ROC (AUC=0.971), which is higher than other classifiers. Therefore, the proposed method demonstrates a high level of performance and capability for UCS predictions.

• 에너지공학
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• 제26권4호
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• pp.45-56
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• 2017

Coal power plants produce electricity for the nation's power grid, but they also produce more hazardous air emissions than any other industrial pollution sources. The quantity is staggering, over 386,000 tons of 84 separate hazardous air pollutants spew from over 400 plants in 46 states. In South Korea also, annual coal ash generation from coal-fired power plants were about 6 million tons in 2015. Pollutants containing particulate matter 10, 2.5 (PM10, PM2.5), heavy metals and dioxins from coal-fired power plant. The emissions threaten the health of people who live near these power plants, as well as those who live hundreds of miles away. These pollutants that have long-term impacts on the environment because they accumulate in soil, water and animals. The present study is to investigate the physical and chemical characteristics of coal-fired power plant fly ash and bottom ash contains particulate matter, whose particulate sizes are lower than $PM_{10}$ and $PM_{2.5}$ and heavy metals. There are wide commercial technologies were available for monitoring the PM 2.5 and ultra-fine particles, among those carbonation technology is a good tool for stabilizing the alkaline waste materials. We collected the coal ash samples from different coal power plants and the chemical composition of coal fly ash was characterized by XRF. In the present laboratory research approach reveals that potential application of carbonation technology for particulate matter $PM_{10}$, $PM_{2.5}$ and stabilization of heavy metals. The significance of this emerging carbonation technology was improving the chemical and physical properties of fly ash and bottom ash samples can facilitate wide re use in construction applications.