• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2013년도 추계 학술논문 발표대회
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• pp.68-71
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• 2013

Reactive Powder Concrete (RPC) is an ultra high strength and high ductility cement-based composite material and has shown some promise as a new generation concrete in construction field. It is characterized by a silica fume-cement mixture with very low water-binder (w/b) ratio and very dense microstructure, which is formed using various powders such as cement, silica fume and very fine quartz sand (0.15~0.4mm) instead of ordinary coarse aggregate. However, the unit weight of cement in RPC is as high as 900~1,000 kg/㎥ due to the use of very fine sand instead of coarse aggregate, and a large volume of relatively expensive silica fume as a high reactivity pozzolan is also used, which is not produced in Korea and thus must be imported. Since the density of RPC has a heavy weight at 2.5~3.0 g/㎤. In this study, the modified RPC was made by the combination of ternary pozzolanic materials such as blast furnace slag and fly ash, silica fume in order to economically and practically feasible for Korea's situation. The fire resistance and structural behavior of the modified RPC exposed to high temperature were investigated.

• Journal of Information Processing Systems
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• 제18권4호
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• pp.457-469
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• 2022

Hydraulic concrete buildings in the northwest of China are often subject to the combined effects of low-temperature frost damage, during drying and wetting cycles, and salt erosion, so the study of concrete deterioration prediction is of major importance. The prediction model of the relative dynamic elastic modulus (RDEM) of four different kinds of modified concrete under the special environment in the northwest of China was established using Grey residual Markov theory. Based on the available test data, modified values of the dynamic elastic modulus were obtained based on the Grey GM(1,1) model and the residual GM(1,1) model, combined with the Markov sign correction, and the dynamic elastic modulus of concrete was predicted. The computational analysis showed that the maximum relative error of the corrected dynamic elastic modulus was significantly reduced, from 1.599% to 0.270% for the BS2 group. The analysis error showed that the model was more adjusted to the concrete mixed with fly ash and mineral powder, and its calculation error was significantly lower than that of the rest of the groups. The analysis of the data for each group proved that the model could predict the loss of dynamic elastic modulus of the deterioration of the concrete effectively, as well as the number of cycles when the concrete reached the damaged state.

• Computers and Concrete
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• 제5권1호
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• pp.1-20
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• 2008

In this study, the effects and the interactions of water content, SP-binder ratio, and water-binder ratio on the workability performance of concrete were investigated. The experiments were designed based on flatted simplex-centroid experiment design modified from standard simplex-centroid one. The data gotten from the design was used to build the concrete slump model using neural networks. Research reported in this paper shows that a small number of slump experiments can be performed and meaningful data obtained with the experiment design. Such data would be suitable for building slump model using neural networks. The trained network can be satisfactorily used for exploring the effects of the components and their interactions on the workability of concrete. It has found that a high water content and a high SP/b ratio is essential for high workability, but achieving this by increasing these parameters will not in itself guarantee high workability. The w/b played a very important role in producing workability and had rather profound effects; however, the medium value about 0.4 is the best w/b to reach high slump without too much effort on trying to find the appropriate water content and SP/b.

• 한국연소학회지
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• 제11권2호
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• pp.1-6
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• 2006

This report presents a study of the development of an advanced coal nozzle used in burners to reduce unburned carbon (UBC) in a tangential coal-fired boiler. To understand the mechanism of UBC reduction, experiments using conventional burners were carried out to evaluate the effects of air injection velocity, coal fineness and over fired air (OFA) on combustion efficiency. It was confirmed that ignition of pulverized coal particles close to the burner is helpful toward the complete burn of residual carbon in fly ash. These efforts indicated the additional results that UBC was strongly dependent on the primary air velocity and coal fineness; especially that UBC dramatically decreased when the weight fraction of pulverized coal under $75{\mu}m$ was over 85 %. New coal nozzles, modified from conventional nozzles, were prepared and tested to improve the combustion efficiency. Some of these nozzles offered relatively lower unburned carbon than those of conventional burners and are referred to as HPFS (High Performance Flame Stability) coal nozzles.

• Computers and Concrete
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• 제11권6호
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• pp.587-602
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• 2013

In the current study, a method for concrete compressive strength prediction (based on cement strength class), incorporated in a software package developed by the authors for the estimation of concrete service life under harmful environments, is presented and validated. Prediction of concrete compressive strength, prior to real experimentation, can be a very useful tool for a first mix screening. Given the fact that lower limitations in strength have been set in standards, to attain a minimum of service life, a strength approach is a necessity. Furthermore, considering the number of theoretical attempts on strength predictions so far, it can be seen that although they lack widespread accepted validity, certain empirical expressions are still widely used. The method elaborated in this study, it offers a simple and accurate, compressive strength estimation, in very good agreement with experimental results. A modified version of the Feret's formula is used, since it contains only one adjustable parameter, predicted by knowing the cement strength class. The approach presented in this study can be applied on any cement type, including active additions (fly ash, silica fume) and age.

• Smart Structures and Systems
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• 제33권1호
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• pp.65-91
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• 2024

The use of five optimization techniques for the prediction of a strength-based concrete mixture's best-fit model is examined in this work. Five optimization techniques are utilized for this purpose: Slime Mold Algorithm (SMA), Black Hole Algorithm (BHA), Multi-Verse Optimizer (MVO), Vortex Search (VS), and Whale Optimization Algorithm (WOA). MATLAB employs a hybrid learning strategy to train an artificial neural network that combines least square estimation with backpropagation. Thus, 72 samples are utilized as training datasets and 31 as testing datasets, totaling 103. The multi-layer perceptron (MLP) is used to analyze all data, and results are verified by comparison. For training datasets in the best-fit models of SMA-MLP, BHA-MLP, MVO-MLP, VS-MLP, and WOA-MLP, the statistical indices of coefficient of determination (R²) in training phase are 0.9603, 0.9679, 0.9827, 0.9841 and 0.9770, and in testing phase are 0.9567, 0.9552, 0.9594, 0.9888 and 0.9695 respectively. In addition, the best-fit structures for training for SMA, BHA, MVO, VS, and WOA (all combined with multilayer perceptron, MLP) are achieved when the term population size was modified to 450, 500, 250, 150, and 500, respectively. Among all the suggested options, VS could offer a stronger prediction network for training MLP.

• 한국융합학회논문지
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• 제8권2호
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• pp.157-162
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• 2017

제지슬러지 소각재, 용광로 슬래그 미세분말 생석회, 무수석고 및 프라이애쉬 등을 혼합하여 무기계고화재를 제조하였다. 슬러지 처리용으로 개발된 고화재의 주성분은 SiO, $Al_2O_3$, $TiO_2$, $Fe_2O_3$, $Mn_2O_3$, CaO, MgO, $Na_2O$, $K_2O$, $P_2O$, $SO_3$이었다. 시멘트와 달리, 개발된 고화재에는 발암물질로 알려진 $Cr^{6+}$가 함유되지 않았다. 중금속 및 기름 오염토를 고화재와 혼합한 후 7일간 양생하여 빗물용출실험을 시행한 결과 중금속이 미미하였다. 하수슬러지 케이크 및 음식물쓰레기와 고화재를 각각 혼합하여 7일 양생 후 토양성분실험을 한 결과 중금속 함량이 환경기준치 이하로 나타났다. 슬러지, 고화재 및 첨가제 혼합시료를 비이커에 혼합한 후 암모니아 농도를 측정한 결과 3일 후 0이 되었다.

• 한국건축시공학회지
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• 제20권5호
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• pp.433-440
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• 2020

콘크리트 공사에서 타설완료 후 마감작업은 표면 평활화, 수밀성 향상, 침하 및 소성수축 균열방지 등의 목적으로 반드시 실시되어야 한다. 그런데, 표면마감작업은 초결과 종결 사이의 소성상태에서 실시 되어야 하는데, 종전의 경우는 기능공의 감에 의해 결정되었다. 이에 일본의 Kato junjj는 초결의 경우 반구형 듀로미터, 종결의 경우 핀형 듀로미터로 추정하는 것을 제안한 바 있다. 그렇지만, 2개의 듀로미터를 사용함의 번잡함 및 시멘트 페이스트의 기기내부 침입으로 인한 고장의 원인이 됨에 따라 본 연구에서는 반구형 듀로미터의 침을 원주형으로 변형시킨 개량형 듀로미터로 개발하였다. 이때 개량형 듀로미터의 사용 가능성은 결합재로 플라이애시의 치환율, 골재에 Coal gasification slag의 치환율을 변화시킨 콘크리트 배합에 적용하여 사용 가능을 분석하였다.

• 콘크리트학회논문집
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• 제17권4호
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• pp.559-567
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• 2005

본 연구는 혼화재료(실리카퓸, 플라이애쉬, 고로슬래그)를 사용하여 교면 포장에 적용할 고성능 콘크리트의 최적배합비를 도출하기 위하여 실시되었다. 최적배합비를 도출하기 위하여 실리카퓸, 플라이애쉬, 고로슬래그의 세가지 혼화재료를 고려하여 통계학의 최적화 기법인 Box Behnken 설계 방법을 사용하였다. 압축강도와 염소이온투과저항성 시험을 실시하였으며 시험 결과를 기초로 최적의 배합비를 도출하였다. 도출된 최적배합은 기술적으로 분석하였으며 시험 결과는 교면포장을 위한 고성능 콘크리트 성능 기준과 비교하였다. 최적배합은 만족할 만한 성능을 보여주었다. 또한 최적배합으로 도출된 고성능 교면포장 콘크리트는 재료의 가격뿐만 아니라 모빌믹서를 사용하지 않고 일반 믹서를 사용하기 때문에 시공비용도 감소시킬 수 있다.