• 레미콘
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• 7호통권72호
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• pp.29-41
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• 2002

The purpose of this study is to investigarte the mix design method and the mechanical properties of High stength Lightweight Concrete (HSLC). In the experment, concrete mixing was conducted to select the optimum mix design for HSLC in laboratory. Also, concrete mixing in ready mix design. As a result, it is possible to establish the mix design of HSLC according to the using these experimental results ;the estimate equation for unit weight of HSLC. the relationship between W/C and compressive strength of HSLC and the fluidity of HSLC in the view of workability

• 자원리싸이클링
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• 제22권3호
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• pp.18-27
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• 2013

본 연구에서는 광산 스프레이 콘크리트에 대한 연구개발의 일환으로 산업부산물을 구조재료인 시멘트에 혼입하여 산업부산물의 재활용 극대화 방안을 제시하였다. 또한 이를 통해 안정성과 경제성을 모두 만족할 수 있는 친환경적인 광산 스프레이 콘크리트의 배합비를 도출하고 평가하였다. 연구 결과 광물성 혼화재를 사용한 콘크리트 강도는 증가하였으며, 현장시험에서도 양호한 결과가 도출되었다. 그러므로 산업부산물을 이용한 광산 스프레이 콘크리트는 향후 현장적용이 가능할 것으로 판단되었다.

• 한국건축시공학회지
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• 제22권6호
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• pp.619-630
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• 2022

콘크리트의 배합설계와 압축강도 평가는 지속가능한 구조물의 내구성을 위한 기초적인 자료로서 활용되고 있다. 하지만, 콘크리트 배합설계는 최근 배합요소의 다변화 등의 이유로 인하여 정확한 배합요소 산정이나 기준값 설정에 어려움을 겪고 있다. 본 연구에서는 인공지능 기법 중 하나인 딥러닝 기법을 사용하여 삼성분계 콘크리트의 배합요소를 산정하는 양방향 해석의 예측모델을 설계하는 것을 목적으로 한다. 콘크리트 배합요소 산정을 위한 DNN 기반 예측모 델은 층 수, 은닉 뉴런 수를 변수로 한 총 8개의 모델을 사용하여 성능평가 및 비교를 실시하였으며, 이후 학습된 DNN 모델을 사용하여 소요압축강도에 따른 콘크리트 배합 산정 결과를 출력하였다. 모델의 성능평가 결과, 콘크리트 압축 강도 인자에 대하여 평균 약 1.423%의 오류율을 나타내었으며, 삼성분계 콘크리트 배합인자 예측에 대하여 평균 8.22%의 MAPE 오차를 만족하였다. DNN 모델의 구조별 성능평가 비교 결과, 모든 배합인자에 대하여 DNN5L-2048 모델이 가장 높은 성능을 보였다. 학습된 DNN 모델을 사용하여 30, 50MPa의 소요압축강도를 가지는 삼성분계 콘크 리트 배합표 예측을 진행하였으며, 추후 학습을 위한 데이터 세트 확장과 실제 콘크리트 배합표와 DNN 모델 출력 콘 크리트 배합표 간의 비교를 통한 검증 과정이 필요할 것으로 판단된다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 가을 학술논문 발표대회
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• pp.156-157
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• 2021

Since concrete is contaminated or radioactive during operation of nuclear power plants, it is the most important radioactive waste generated during the dismantling of a nuclear power plant. The amount of waste is different depending on the pollution state of each facility and the applied technology is different, so there is a big difference. We aim to reduce the amount of waste and increase the value of recyclability through technology to remove radionuclides attached to the surface. For this purpose, laser scabbling, which exfoliates the surface of concrete by irradiating a laser, and a facility system for controlling dust and dust are used in parallel. The purpose of this study is to evaluate the efficiency of laser scabbling by manufacturing simulated concrete for nuclear facilities, and to review the optimal mixing design conditions for nuclear facility structures.

• International Journal of Concrete Structures and Materials
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• 제2권2호
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• pp.161-167
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• 2008

Optimization of concrete mixing system is very important for the production of quality mixture of concrete and requires very complicated, specialized knowledge as there are a variety of variables that influence the result. One of the methods of optimizing the concrete mixing system is to minimize the volume of cement paste which, in turn, means maximizing the volume of aggregate. The purpose of this study is to determine the minimum volume of cement paste used in the design of concrete mixture and to design the optimum concrete mixing system based on the fluidity of mortar and concrete. In determining the minimum volume of cement paste, experiments of mortar and concrete were performed based on their workability, material segregation and bleeding. Type of aggregate, granularity distribution and sand percentage were used as test parameters and measurements were taken of the distribution of granularity, usage of HRWRA, minimum volume of paste and drying shrinkage and compressive strength of concrete.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.57-58
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• 2022

Concrete mix design is used as essential data for the quality of concrete, analysis of structures, and stable use of sustainable structures. However, since most of the formulation design is established based on the experience of experts, there is a lack of data to base it on. are suffering Accordingly, in this study, the purpose of this study is to build a predictive model to use the concrete mixing factor as basic data for calculation using the DNN technique. As for the data set for DNN model learning, OPC and ternary concrete data were collected according to the presence or absence of admixture, respectively, and the model was separated for OPC and ternary concrete, and training was carried out. In addition, by varying the number of hidden layers of the DNN model, the prediction performance was evaluated according to the model structure. The higher the number of hidden layers in the model, the higher the predictive performance for the prediction of the mixing elements except for the compressive strength factor set as the output value, and the ternary concrete model showed higher performance than the OPC. This is expected because the data set used when training the model also affected the training.

• 콘크리트학회논문집
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• 제21권6호
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• pp.745-752
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• 2009

이 논문에서는 과산화수소를 사용한 경량기포콘크리트의 최적배합비를 제안하고 있다. 최적배합을 도출하기 위해 상용프로그램인 MINITAB을 사용하여 실험계획법을 적용하였다. 통계적 분석방법은 반응표면분석법 중 하나인 Box Behnken(B-B)계획법으로 하였다. 실험시 고려한 영향인자로는 단위시멘트량, 물시멘트비, 과산화수소비를 설정하였다. 분산분석에 따르면 경화상태에서 경량기포콘크리트의 물시멘트비와 과산화수소비는 절건밀도, 압축강도, 휨강도에 유의차가 있고, 단위시멘트량은 절건밀도에만 유의차가 있는 것으로 나타났다. 반응표면분석의 결과에서 과산화수소를 사용한 경량기포콘크리트의 최적배합비는 단위시멘트량 800 kg/$m^3$, 물시멘트비 44.33%, 과산화수소비 10%로 도출되었다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2017년도 추계 학술논문 발표대회
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• pp.11-12
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• 2017

The properties of concrete produced by ready mixed concrete company in Busan were tested. Because the concrete was mixed with blast furnace slag and fly ash, the compressive strength and chloride ion diffusion coefficient were lower than OPC concrete even though the specified concrete strength was same. If the durability about salt attack were satisfied, the concrete of lower specified concrete strength would be adopted to concrete mixing design.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 봄학술 발표회 논문집(II)
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• pp.73-76
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• 2005

This study aims to suggest a simple and convenient design for a mix proportion method for high performance concrete by determining the optimum fine aggregate ratio and minimum binder content based on the maximum density theory. The mix design method introduced in this study adopted the optimum fine aggregate ratio with a minimum void and binder content higher than the minimum binder content level. The research results reveal that the method helps to reduce trial and error in the mixing process and is a convenient way of producing high performance concrete with self filler ability. In an experiment based on the mix proportion method, when aggregate with the fine aggregation ratio of 41$\%$ was used, the minimum binder content of high performance concrete was 470kg/$m^{3}$ and maximum aggregate capacity was $0.657m^{3}/m^{3}$. In addition, in mixing high performance concrete, the optimal slump flow to meet filler ability was 65$\pm$5cm, V load flow speed ranged from 0.5 to 1.5.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1998년도 가을 학술발표논문집(II)
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• pp.262-268
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• 1998

This research is to examine the selected method of optimal mixing proportion and cost analysis in the super flowing concrete. As confined water $ratio($\beta_p$)$ and K is introduced, itis to establish optimal mixing design of super flowing concrete according to the steps of paste, mortar and concrete. From paste and mortar test, it was led to $$\beta_p$$ and $K_p$satisfying the optimum condions depending on the kinds of binders. Then $$\beta_p$$ and $K_p$ is reflected to the mix condition of super flowing concrete. The result of test, the mix condition of super flowing concrete satisfied the quality performance of concrete with adjustment of additional rate of the superplasticizer. Besides, in case of design strength $350kg/\textrm{cm}^2$ of concrete, material cost in super flowing concrete is able to be reduced 5~16% in replacement of fly ash 30% in ordinary portland cement and slag cement.