• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 봄학술 발표회 논문집(II)
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• pp.153-156
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• 2005

Surface dry condition examination method on the KS F 2504(Testing method for specific gravity and absorption of fine aggregate) has dim detail prescriptions which can cause different ways of understanding based on one's convinence, not on correct means of rule. So we investigate the problems about the inconsistency on decisioing surface dry condition at management examination in the lab and scene. In conclusion, free-falling method is easier and faster than self-weight method. And we also found that the most important face on decisioning surface dry is compacting factor of tamping rod.

• 한국건설순환자원학회논문집
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• 제10권1호
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• pp.111-116
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• 2022

최근 들어 건축구조물은 초고층화 및 대규모화 하는 경향에 있으며, 콘크리트 기술의 발달로 인하여 철근콘크리트 구조로 초고층 건축물을 축조하는 것이 일반화 되어 가고 있는 실정이다. 초고층 건축물에 적용되는 철근콘크리트주조는 고유동·고강도 콘크리트가 적용되기 때문에 시공성이 향상되고 단면축소가 가능하게 되었다. 또한 철근콘크리트구조의 초고층 건축물에는 슬라이딩폼, ACS(Auto Climbing Form) 등 시스템 거푸집을 적용하기 때문에 시공의 신속성을 기할 수 있으며, 철골구조보다 저렴한 가격에 내화·내진 등 우수한 품질로 빠른 시일 내에 완성할 수 있게 되었다. 그러나 초고층 건축물을 철근콘크리트 구조로 시공할 경우는 자중이 커지게 된다는 단점을 가지게 된다. 이러한 단점을 보완하고자 개발된 것이 경량골재(LWA, Low Weight Aggregate)이며, 최근까지 다양한 종류의 경량골재가 개발되어지고 있다. 이러한 경량골재를 이용하여 콘크리트를 제조하면 철근콘크리트 구조물의 자중을 줄일 수 있다는 장점을 가지게 되지만, 콘크리트의 강도가 줄어든다는 단점을 가진다. 이는 경량골재가 일반적인 천연골재에 비하여 낮은 강도를 가지고 있기 때문으로 최근에는 이러한 경량골재의 취약점을 보완하기 위한 연구가 진행되고 있다. 본 연구에서는 경량골재 표면코팅 유무에 따른 시멘트 경화체의 강도특성을 알아보기 위한 실험적 연구를 진행하였다. 그 결과, 압축강도는 표면코팅 한 경량골재가 코팅하지 않은 경량골재보다 높은 강도발현을 나타냈으며, 물/시멘트 비 50 %에서 표면코팅 경량골재가 높은 압축강도를 발현하는 것을 알 수 있었다. 이는 표면코팅 경량골재 혼입 시멘트 경화체의 계면 공극이 고로슬래그 미분말 입자로 메워졌기 때문인 것으로 확인되었다.

• Advances in concrete construction
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• 제6권2호
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• pp.123-143
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• 2018

Self compacting concrete (SCC) has good flowability, passability and segregation resistance because of voluminous cementitious material & high coarse aggregate to fine aggregate ratio, and high free water availability. But these factors make it highly susceptible to shrinkage. Fibers are known to reduce shrinkage in concrete mixes. Until now for conserving cement, only pozzolanic materials are admixed in concrete to yield a SCC. Hence, this study compares the use of wollastonite micro fiber (WMF), a cheap pozzolanic easily processed raw mineral fiber, and flyash in yielding economical SCC for rigid pavement. Microsilica was used as a complimentary material with both admixtures. Since WMF has large surface area ($827m^2/kg$), is acicular in nature; therefore its use in yielding SCC was dubious. Binary and ternary mixes were constituted for WMF and flyash, respectively. Paste mixes were tested for compatibility with superplasticizer and trials were performed on a normal concrete mix of flexural strength 4.5 MPa to yield SCC. Flexural strength test and restrained shrinkage test were performed on those mixes, which qualified self compacting criteria. Results revealed that WMF admixed pastes have high water demand, and comparable setting times to flyash mixes. Workability tests showed that 20% WMF with microsilica (5-7.5%) is efficient enough in achieving SCC and higher flexural strength than normal concrete at 90 days. Also, stress rate due to shrinkage was lesser and time duration for final strain was higher in WMF admixed SCC which encourages its use in yielding a SCC than pozzolanic materials.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권1호
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• pp.40-49
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• 2004

In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN), discuss a comprehensive design methodology and carry out a series of numeric experiments. The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized network, and to be much more flexible and preferable neural network than the conventional SOPNN. In order to generate the structurally optimized SOPNN, GA-based design procedure at each stage (layer) of SOPNN leads to the selection of preferred nodes (or PNs) with optimal parameters- such as the number of input variables, input variables, and the order of the polynomial-available within SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. A detailed design procedure is discussed in detail. To evaluate the performance of the GA-based SOPNN, the model is experimented with using two time series data (gas furnace and NOx emission process data of gas turbine power plant). A comparative analysis shows that the proposed GA-based SOPNN is model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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• pp.365-368
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• 2008

최근, 하천에서 얻을 수 있는 자연모래의 부족과 환경 보호에 대한 요구 등으로 인해 잔골재로써의 부순 모래가 콘크리트 산업에서 사용이 증가되고 있다. 골재는 자기충전 모르타르(SCM)를 포함한 자기 충전 콘크리트(SCC)의 특성에 큰 영향을 준다. 잔골재로 부순 모래를 사용한 SCC와 SCM의 유동적 특성을 자연 모래를 사용한 것과 두 가지를 섞은 모래를 사용한 SCC와 SCM과 비교 하였다. 실험결과는 50% 섞인 모래가 포함된 SCM의 yield stress가 SP 함유량에 따른 자연 모래와 부순 모래보다 높다는 것을 보여준다. 자연모래 SCC의 슬럼프 값은 부순 모래의 SCC보다 거의 5-15% 높다. 또한 같은 물/시 멘트비와 증점제에서 자연모래 SCC의 L-box test 값은 부순 모래 SCC보다 거의 20-30% 높다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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• pp.341-344
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• 2008

경량콘크리트는 구조물의 자중을 줄일 수 있는 장점 때문에 부재단면의 축소 및 시공의 간편화를 이룰 수 있어 장경간 교량 및 초고층 건물 등에 적용하여 시공비용을 절감할 수 있는 효과가 있다. 그러나 경량콘크리트는 재료 자체의 특수성으로 인하여 일반콘크리트와는 다른 배합설계 방법이 필요하다. 경량콘크리트를 일반콘크리트의 배합설계 방법으로 제조할 경우 골재의 경량화에 따른 재료분리 및 강도저하 현상이 우려된다. 경량콘크리트 제조시 발생하는 재료분리 및 강도저하 현상 등을 해결하기 위한 방안 중 하나로 본 연구에서는 자기충전콘크리트의 배합설계 방법을 이용하였다. 경량골재를 사용한 자기충전콘크리트의 역학적 특성인 압축강도, 기건 밀도 및 비강도를 계산하여 검토하였으며, 건조수축률예측은 ACI committee 209에서 제시된 식을 이용하였다.

• International Journal of Control, Automation, and Systems
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• 제2권4호
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• pp.423-434
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• 2004

In this paper, we introduce a new topology of Self-Organizing Polynomial Neural Networks (SOPNN) based on genetically optimized Multi-Layer Perceptron (MLP) and discuss its comprehensive design methodology involving mechanisms of genetic optimization. Let us recall that the design of the 'conventional' SOPNN uses the extended Group Method of Data Handling (GMDH) technique to exploit polynomials as well as to consider a fixed number of input nodes at polynomial neurons (or nodes) located in each layer. However, this design process does not guarantee that the conventional SOPNN generated through learning results in optimal network architecture. The design procedure applied in the construction of each layer of the SOPNN deals with its structural optimization involving the selection of preferred nodes (or PNs) with specific local characteristics (such as the number of input variables, the order of the polynomials, and input variables) and addresses specific aspects of parametric optimization. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between the approximation and generalization (predictive) abilities of the model. To evaluate the performance of the GA-based SOPNN, the model is experimented using pH neutralization process data as well as sewage treatment process data. A comparative analysis indicates that the proposed SOPNN is the model having higher accuracy as well as more superb predictive capability than other intelligent models presented previously.reviously.

• Advances in concrete construction
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• 제13권5호
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• pp.349-360
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• 2022

The rising prices of landfills and the lack of cement production are motivating researchers to be more interested in using wastes to produce concrete mixtures materials. The use of waste materials such as eggshell and matakoline waste not only reduces landfill costs and space, but also reduces the cost of cement production for the concrete mixture. However, recycling waste materials has become critical in order to effectively manage environmental sustainability. The purpose of this paper is to investigate the appropriate properties of self-compacting concrete (SCC) by incorporating waste materials such as crushed ceramics as coarse aggregate and nano egg shell (NES) and nanoclay (NC) as cement replacements. Fresh properties of SCC, such as segregation, flow time and diameter, V-funnel, H2/H1 ratio, and fresh unit weight of concrete mixtures, as well as hardened properties, such as 7, 14, and 28 days compressive strength and 28 and 90 days flexural strength, were measured for this purpose. The presence of NC in the SCC mixture enhanced the compressive strength of the concrete when 5% of NES was added or in the case without the addition of NES compared to the control mixture. The flexural strength enhanced with the incorporation of NC in the SCC increased the flexural strength of the concrete compared to the control mixture, but the incorporation of 5% of NES decreased the flexural strength compared to the mixtures with NC. These results prove the possibility of using crushed ceramics as the coarse aggregate, and NES and NC as substitutes for 5, 7, and 10% of the cement in SCC, because the properties of such SCC in hardened and fresh states are satisfactory.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 추계 학술발표회 제17권2호
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• pp.411-414
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• 2005

Concrete structure is recognized as the universal structuring material for its outstanding formability, economic efficiency, and strength development. However, as the ageing of field workers and the deficiency of skilled workers due to evasions from 3D business have recently become the major issues of the industry in Korea and as the materials are becoming more diversified and complicated for today's concrete structures are becoming higher, larger, and specialized, the need for practicality of construction work based on new technology and new method has greatly increased. In other words, the overall condition of today's construction business requires researches and developments on the self-compacting concrete for higher construction efficiency and quality improvements and the high-strength lightweight concrete for concrete weight reduction and reduction of area. Therefore experimental tests were performed as such compressive strength, dry shrinkage and carbonation of self-compacting concrete.

• Structural Engineering and Mechanics
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• 제67권1호
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• pp.87-91
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• 2018

Concrete is the most widely used building material all over the world, because of its many technical and economic qualities. This pressure on the concrete resource causes an intensive exploitation of the quarries of aggregates, which results in a exhaustion of these and environmental problems. That is why recycling and valorization of materials are considered as future solutions, to fill the deficit between production and consumption and to protect the environment. This study is part of the valorization process of local materials, which aims to reuse marble waste as fine aggregate (excess loads of marble waste exposed to bad weather conditions) available in the marble quarry of Fil-fila (Skikda, East of Algeria) in the manufacture of self-compacting concretes. It consists of introducing the marble waste as sand into the self-compacting concrete formulation, with variable percentages (25%, 50%, 75% and 100%) and to study the development of its properties both in fresh state (air content, density, slump flow, V-funnel, L-box and sieve stability) as well as the hardened one (compressive strength and flexural strength). The results obtained showed us that marble wastes can be used as sand in the manufacture of self compacting concretes.