• 한국건축시공학회지
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• 제22권4호
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• pp.337-345
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• 2022

해안지역 초고층 콘크리트 건축물 매트기초는 상하층 응력발생으로 인한 결함예방과 원활한 공정관리를 위해 일반적으로 일체타설이 요구되지만 일체타설의 경우 수화열에 의한 온도응력 균열 발생의 우려가 있으며 다짐에 대한 시공성을 확보하기 위해 높은 수준의 자기충전성의 콘크리트 배합이 필요하다. 본 연구에서는 이러한 요구성능을 만족할 수 있도록 고성능 분사제와 혼화재의 사용량을 실험변수로 배합 실험을 통해 최적량을 도출하고자 하였다. 배합 변수별 결과분석을 통해 단위수량은 155kg/m³, 결합재에서 시멘트 비율 18% 일 때 굳지 않은 콘크리트 물성 및 강도발현 목표값을 만족하는 것으로 나타났다. 4성분계(시멘트 18%, 슬래그미분말 50%, 플라이애시 27%, 실리카흄 5%)가 사용되었다.

• Advances in concrete construction
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• 제15권3호
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• pp.191-202
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• 2023

Palm oil fuel ash (POFA) is a newly emerging pozzolanic material having high amount of silica content. Various forms of POFA were used in cement-based materials (CBMs) in replacement of cement in different dosages of low and high volume. Although, there are many researches on POFA to be used in concrete and mortar, however, this material was not practically used in the construction industry. Engineers and designers need to be confident to use any new developed materials by knowing all engineering properties at short and long terms. As durability concern, concrete pH value is one of the most important properties. Portland cement produces are alkaline initially, however, it may be reduced due to aging and its components. It is believed that by incorporation of supplementary cementitious materials in CBMs the pH value reduces due to utilization of Ca(OH)₂ in pozzolanic reaction. This study is the first attempts to understand the pH value of mortars containing up to 30% POFA under different curing conditions and its changes with time. The results were also compared with the pH of ground granulated ballast furnace slag (GGBFS) and fly ash (FA) content mortars. In addition, the compressive strength of different mortars under different curing conditions were also studied. The results showed that the pH value of control mix (without cementitious materials) was more than all the blended cement mortars indifferent curing conditions at the same ages. However, there was a reducing trend in the pH value of all mortar mixes containing POFA.

• Computers and Concrete
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• 제32권2호
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• pp.149-163
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• 2023

One of the main design parameters traditionally utilized in projects of geotechnical engineering is the uniaxial compressive strength. The present paper employed three artificial intelligence methods, i.e., the stochastic fractal search (SFS), the multi-verse optimization (MVO), and the vortex search algorithm (VSA), in order to determine the compressive strength of concrete (CSC). For the same reason, 1030 concrete specimens were subjected to compressive strength tests. According to the obtained laboratory results, the fly ash, cement, water, slag, coarse aggregates, fine aggregates, and SP were subjected to tests as the input parameters of the model in order to decide the optimum input configuration for the estimation of the compressive strength. The performance was evaluated by employing three criteria, i.e., the root mean square error (RMSE), mean absolute error (MAE), and the determination coefficient (R²). The evaluation of the error criteria and the determination coefficient obtained from the above three techniques indicates that the SFS-MLP technique outperformed the MVO-MLP and VSA-MLP methods. The developed artificial neural network models exhibit higher amounts of errors and lower correlation coefficients in comparison with other models. Nonetheless, the use of the stochastic fractal search algorithm has resulted in considerable enhancement in precision and accuracy of the evaluations conducted through the artificial neural network and has enhanced its performance. According to the results, the utilized SFS-MLP technique showed a better performance in the estimation of the compressive strength of concrete (R²=0.99932 and 0.99942, and RMSE=0.32611 and 0.24922). The novelty of our study is the use of a large dataset composed of 1030 entries and optimization of the learning scheme of the neural prediction model via a data distribution of a 20:80 testing-to-training ratio.

• 한국농공학회논문집
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• 제65권1호
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• pp.51-59
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• 2023

The study is to evaluate the effect of bank protection concrete block products to streams and soils. The effect on three types of bank protection concrete blocks was evaluated.. The first type was manufactured using fly ash, and the second and third type products used fine blast furnace slag powder. The laboratory and field Experiments test results showed the pHs of 9 or less. Also, any heavy metals were not detected in the heavy metal leaching tests. Although some iron (Fe) was partially detected, it still met the water quality standards. In addition, heavy metal was detected from all blocks by the US drinking water evaluation standards method. An on-site water quality and soil contamination tests were performed at the places that the blocks were implemented in practice. The test results showed that the application of the bank protection concrete block product did not lead to the water and soil quality degradation. Therefore, it was found that the hardened bank protection concrete block product did not elute harmful substances such as heavy metals that affect water and soil quality degradation.

• 대한토목학회논문집
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• 제28권1A호
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• pp.155-163
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• 2008

최근 구조물이 대형화, 특수화 및 초고층화 되고 있는 건설현장에서는 일반콘크리트보다 더 뛰어난 고성능 콘크리트의 시험적인 시공이 증가하고 있는 추세이다. 교량의 경우 과거 동바리 공법에 의한 시공은 소음 및 분진과 공사기간의 장기화 등의 문제로 점점 감소되었으며, 최근에는 시공기간 단축 및 도심지 환경에 적합한 프리캐스트로 시공하는 현장이 급속히 증가하고 있다. 교량구조물의 경우 휨에 대한 안전성을 확보하기 위하여 과밀배근된 부재를 생산하고 있는 실정이며, 과밀배근된 부재를 생산하기 위하여 일반콘크리트보다 유동과 충전성능이 월등한 초유동 자기충전 콘크리트가 적용되는 것이 바람직하다고 판단된다. 본 연구에서는 고로슬래그 및 플라이애쉬를 2성분계 및 3성분계 배합을 통하여 과밀배근된 교량구조물에 초유동 자기충전 콘크리트를 적용하기 위한 방법으로 과밀배근된 구조물에 적용할 수 있는 일본 토목학회의 JSCE 1등급 규정에 따른 초유동 자기충전 콘크리트의 유동 특성을 검토하였다.

• Computers and Concrete
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• 제33권2호
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• pp.175-193
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• 2024

Researchers have embarked on an active investigation into the feasibility of adopting alternative materials as a solution to the mounting environmental and economic challenges associated with traditional concrete-based construction materials, such as reinforced concrete. The examination of concrete's mechanical properties using laboratory methods is a complex, time-consuming, and costly endeavor. Consequently, the need for models that can overcome these drawbacks is urgent. Fortunately, the ever-increasing availability of data has paved the way for the utilization of machine learning methods, which can provide powerful, efficient, and cost-effective models. This study aims to explore the potential of twelve machine learning algorithms in predicting the tensile strength of geopolymer concrete (GPC) under various curing conditions. To fulfill this objective, 221 datasets, comprising tensile strength test results of GPC with diverse mix ratios and curing conditions, were employed. Additionally, a number of unseen datasets were used to assess the overall performance of the machine learning models. Through a comprehensive analysis of statistical indices and a comparison of the models' behavior with laboratory tests, it was determined that nearly all the models exhibited satisfactory potential in estimating the tensile strength of GPC. Nevertheless, the artificial neural networks and support vector regression models demonstrated the highest robustness. Both the laboratory tests and machine learning outcomes revealed that GPC composed of 30% fly ash and 70% ground granulated blast slag, mixed with 14 mol of NaOH, and cured in an oven at 300°F for 28 days exhibited superior tensile strength.

• Advances in concrete construction
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• 제16권3호
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• pp.155-167
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• 2023

The penetrated chloride in concrete has different behavior with mix proportions and local exposure conditions, even in the same environments, so that it is very important to quantify surface chloride contents for durability design. As well known, the surface chloride content which is a key parameter like external loading in structural safety design increases with exposure period. In this study, concrete samples containing OPC (Ordinary Portland Cement), GGBFS (Ground Granulated Blast Furnace Slag), and FA (Fly Ash) had been exposed to submerged, tidal, and splash area for 5 years, then the surface chloride contents changing with exposure period were evaluated. The surface chloride contents were obtained from the chloride profile based on the Fick's 2nd Law, and the regression analysis for them was performed with exponential and square root function. After exposure period of 5 years in submerged and tidal area conditions, the surface chloride content of OPC concrete increased to 6.4 kg/m³ - 7.3 kg/m³, and the surface chloride content of GGBFS concrete was evaluated as 7.3 kg/m³ - 11.5 kg/m³. In the higher replacement ratio of GGBFS, the higher surface chloride contents were evaluated. The surface chloride content in FA concrete showed a range of 6.7 kg/m³ to 9.9 kg/m³, which was the intermediate level of OPC and GGBFS concrete. In the case of splash area, the surface chloride contents in all specimens were from 0.59 kg/m³ to 0.75 kg/m³, which was the lowest of all exposure conditions. Experimental constants available for durability design of chloride ingress were derived through regression analysis over exposure period. In the concrete with GGBFS replacement ratio of 50%, the increase rate of surface chloride contents decreased rapidly as the water to binder ratio increased.

• Advances in concrete construction
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• 제16권6호
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• pp.303-316
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• 2023

Using industrial wastes and construction and demolition (C&D) wastes is potentially advantageous for concrete production in terms of sustainability improvement. In this paper, a sustainable Self-Compacting Concrete (SCC) made with industrial wastes and C&D wastes was proposed by considerably replacing natural counterparts with recycled coarse aggregates (RCAs) and supplementary cementitious materials (SCMs) (i.e., Fly ash (FA), ground granulated blast furnace slag (GGBS) and silica fume (SF)). A total of 12 SCC mixes with various RCAs and different combination SCMs were prepared, which comprise binary, ternary and quaternary mixes. The mechanical properties in terms of compressive strength and static elasticity modulus of recycled aggregates (RA-SCC) mixes were determined and analyzed. Microstructural study was implemented to analyze the reason of improvement on mechanical properties. By means of life cycle assessment (LCA) method, the environmental impacts of RA-SCC with various RCAs and SCMs were quantified, analyzed and compared in the system boundary of "cradle-to-gate". In addition, the comparison of LCA results with respect to mechanical properties was conducted. The results demonstrate that the addition of proposed combination SCMs leads to significant improvement in mechanical properties of quaternary RA-SCC mixes with FA, GGBS and SF. Furthermore, quaternary RA-SCC mixes emit lowest environmental burdens without compromising mechanical properties. Thus, using the combination of FA, GGBS and SF as cement substitution to manufacture RA-SCC significantly improves the sustainability of SCC by minimizing the depletion of cement and non-renewable natural resources.

• 콘크리트학회논문집
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• 제29권4호
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• pp.415-424
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• 2017

본 연구의 목적은 플라이애시 및 고로슬래그 미분말로 제조한 알칼리 활성화 결합재 모르타르의 황산염 저항성에 미치는 마그네슘(Magnesium, $Mg^{2+}$) 및 황산(Sulfate, ${SO_4}^{2-}$) 이온의 영향을 확인하는 것이다. 이를 위하여 고로슬래그 미분말 치환율을 30%, 50% 및 100%, $SiO_2$와 $Na_2O$의 몰 비($SiO_2/Na_2O$ molar ratio, Ms)를 1.0, 1.5 및 2.0으로 조정한 시험체를 제작하였다. 그리고 $Mg^{2+}$ 및 ${SO_4}^{2-}$의 영향을 확인하기 위하여 $Mg^{2+}$ 단독(10% $Mg(NO_3)_2$), ${SO_4}^{2-}$ 단독(10% $Na_2SO_4$), $Mg^{2+}$ 및 ${SO_4}^{2-}$ 복합(10% [$MgCl_2+Na_2SO_4$], 10% [$Mg(NO_3)_2+Na_2SO_4$]) 및 $MgSO_4$ 수용액(10%, 5% 및 2.5% $MgSO_4$)의 조건에서 압축강도, 길이변화, 질량변화 및 X선 회절 분석을 실시하였다. 그 결과, $Mg^{2+}$ 및 ${SO_4}^{2-}$가 공존하는 경우에만 황산염 침식에 의한 강도저하 및 팽창 등이 발생하는 것을 확인하였다. 이러한 현상은 $Mg^{2+}$이 규산칼슘 수화물(Calcium Silicate Hydrate, C-S-H)을 분해하여 $Ca^{2+}$이 용출되고, 용출된 $Ca^{2+}$과 ${SO_4}^{2-}$가 결합하여 석고($CaSO_4{\cdot}2H_2O$, Gypsum)를 생성하고, $Mg^{2+}$과 OH가 결합하여 수산화마그네슘(Magnesium hydroxide, $Mg(OH)_2$, Brucite)을 생성하는 것에 기인하는 것을 확인하였다.

• 한국구조물진단유지관리공학회 논문집
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• 제21권1호
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• pp.109-116
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• 2017

본 연구는 플라이애시 및 고로슬래그 미분말을 활용하여 알칼리 활성화 결합재로 제조된 모르타르 및 페이스트 샘플의 황산염 저항성을 평가하고 황산염 침투에 대한 고저항성 결합재를 제시하는 것이다. 이를 위하여 플라이애시 및 고로슬래그미분말 등의 광물질 혼화재를 결합재로 활용하여 고로슬래그미분말 치환율을 30, 50 및 100%로 제작하였다. 규산나트륨 모듈 $Ms[SiO_2/Na_2O]$은 1.0, 1.5 및 2.0으로 조정하였으며, 10% 황산나트륨, 10% 황산마그네슘, 10% 질산마그네슘 및 5% 질산마그네슘+5% 황산나트륨 용액에 각각 침지시키고, 황산염 저항성을 평가하기 위하여 압축강도, 질량변화율, 길이변화율 및 X선 회절분석을 측정하였다. 그 결과 10% 황산나트륨, 10% 질산마그네슘 및 5% 질산마그네슘+5% 황산나트륨에 침지한 경우에는 모든 시험조건에서 장기적인 강도발현과 질량 및 길이변화율이 작아 저항성이 우수한 것으로 나타났으나, 10% 황산마그네슘에 침지한 경우에는 장기적인 강도저하와 질량 및 길이변화가 크게 나타났으며, 그 경향은 고로슬래그 미분말 치환량 및 Ms비가 증가할수록 현저하였다. 이것은, X선 회절분석 결과 황산마그네슘 용액 침지에서는 gypsum($CaSO_4{\cdot}2H_2O$) 및 brucite(MgOH)생성되어 내부조직이 팽창하는 것에 의한 것으로 확인되었다. 결론적으로 일정 농도의 ${SO_4}^{2-}$이 존재하는 조건에서 $Mg^{2+}$가 추가로 존재할 경우 열화현상은 가속화되는 것을 알 수 있다.