• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2003년도 춘계학술대회논문집
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• pp.375-378
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• 2003

In the present study, a new approach to predict the strength of sintered materials has been carried out and a new framework combining neck growth model and ideal pore model has been established based on the results of tensile tests on powder injection molded specimens with the various porosity. Powder injection molding (PIM) uses the shaping advantage of injection molding but is applicable to metals and ceramics. PIM delivers structural materials in a shaping technology previously restricted to polymers. 17-4 PH stainless steel powders with average diameters of 10 $\mu\textrm{m}$ were injection-molded into flat tensile specimens sintered at the various temperatures ranging from 900 to 1350$^{\circ}C$ for 1h. The relationships between strength and porosity were applied to the experimental results and verified.

• Environmental Engineering Research
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• 제11권4호
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• pp.201-207
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• 2006

A simple empirical model with good quantitative prediction of inter-particle and intra-particle distance in a cake layer with respect to ionic strength was developed. The model is an inverse length scale with functions of interaction energy and hydrodynamic factor and it explains that the inter-particle and intra-particle distance in a cake is directly related to the effective size of particles. Particle compressibility with respect to ionic strength was also predicted by the model. The model corroborated very well with experimental results of polystyrene microsphere latex particles microfiltation in a dead end operation. From the results of the model, specific cake resistance could be controlled by the same variables affecting the height of particle energy barrier described by the Derjaguin-Landau-Verwey-Overbeek (DLVO) theory.

• 한국구조물진단유지관리공학회 논문집
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• 제16권6호
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• pp.124-133
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• 2012

콘크리트의 강도는 시간에 따라 증가하며, 많은 연구에서 시간에 대한 회귀 분석식을 사용하고 있다. 본 연구는 수화물량을 수화도 및 공극률의 함수로 가정하였으며, 재령의 증가에 따라 감소하는 공극률을 이용하여 고성능 콘크리트의 압축강도 모델링을 수행하였다. 본 연구에서는 기존의 시간에 대한 회귀분석없이 공극률의 감소만을 이용하여 압축강도를 예측하였다. 총 21개의 고성능 콘크리트 배합에 대해 초기재령 콘크리트의 거동 해석프로그램인 DUCOM을 이용하여 각각의 공극률을 도출하였으며, 강도 모델링을 수행하였다. OPC 콘크리트에 대해서 수화도, 단위시멘트량, 공극률의 함수로 강도 예측식을 제안하였으며, GGBFS 및 FA를 혼입한 콘크리트에 대해서는 장기강도 영향을 구현하기 위해 공극률을 고려한 장기강도변수를 도입하였다. 기존의 실험결과와의 비교를 통하여 제안된 강도예측식의 타당성을 입증하였다.

• The Journal of the Acoustical Society of Korea
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• 제27권2E호
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• pp.45-50
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• 2008

In recent years, quantitative ultrasound (QUS) technologies have played a growing role in the diagnosis of osteoporosis. Most of the commercial bone somometers measure speed of sound (SOS) and/or broadband ultrasonic attenuation (EUA) at peripheral skeletal sites. However, the QUS parameters are purely empirical measures that have not yet been firmly linked to physical parameters such as bone strength or porosity. In the present study, the theoretical models for wave propagation in cancellous bone, such as the Biot model, the stratified model, and the modified Biot-Attenborough (MBA) model, were applied to predict the dependence of phase velocity on porosity in cancellous bone. The optimum values for the input parameters of the three models in cancellous bone were determined by comparing the predictions with the previously published measurements in human cancellous bone in vitro. This modeling effort is relevant to the use of QUS in the diagnosis of osteoporosis because SOS is negatively correlated to the fracture risk of bone, and also advances our understanding of the relationship between phase velocity and porosity in cancellous bone.

• International Journal of Concrete Structures and Materials
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• 제4권1호
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• pp.37-43
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• 2010

Theoretical models based on modern interpretations of the morphology and interactions of cement hydration products are developed for prediction of the mechanical properties of hydrated cement paste (hcp). The models are based on the emerging nanostructural vision of calcium silicate hydrate (C-S-H) morphology, and account for the intermolecular interactions between nano-scale calcium C-S-H particles. The models also incorporate the effects of capillary porosity and microcracking within hydrated cement paste. The intrinsic modulus of elasticity and tensile strength of hydrated cement paste are determined based on intermolecular interactions between C-S-H nano-particles. Modeling of fracture toughness indicates that frictional pull-out of the micro-scale calcium hydroxide (CH) platelets makes major contributions to the fracture energy of hcp. A tensile strength model was developed for hcp based on the linear elastic fracture mechanics theories. The predicted theoretical models are in reasonable agreements with empirical models developed based on the experimental performance of hcp.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2009년도 춘계 학술대회 제21권1호
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• pp.565-566
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• 2009

Supplementary cementing materials (SCM), such as silica fume, slag, and low-calcium fly ash, have been widely used as mineral admixtures in high strength and high performance concrete. Due to the chemical and physical effect of SCM on hydration, compared with Portland cement, hydration process of cement incorporating SCM is much more complex. This paper presents a numerical hydration model which is based on multi-component concept and can simulate hydration of cement incorporating SCM. The proposed model starts with mixture proportion of concrete and considers both chemical and physical effect of SCM on hydration. Using this proposed model, this paper predicts the following properties of hydrating cement-SCM blends as a function of hydration time: reaction ratio of SCM, calcium hydroxide content, heat evolution, porosity, chemically bound water and the development of the compressive strength of concrete. The prediction results agree well with experiment results.

• Geomechanics and Engineering
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• 제15권1호
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• pp.631-643
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• 2018

The estimation of the strength and other mechanical parameters characterizing the tensile behavior of granites can play an important role in civil engineering tasks such as design, construction, rehabilitation and repair of existing structures. The purpose of this paper is to apply data mining techniques, such as multiple regression (MR), artificial neural networks (ANN) and support vector machines (SVM) to estimate the mechanical properties of granites. In a first phase, the mechanical parameters defining the complete tensile behavior are estimated based on the tensile strength. In a second phase, the estimation of the mechanical properties is carried out from different combination of the physical properties (ultrasonic pulse velocity, porosity and density). It was observed that the estimation of the mechanical properties can be optimized by combining different physical properties. Besides, it was seen that artificial neural networks and support vector machines performed better than multiple regression model.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.1041-1044
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• 2008

The addition of chemical inert filler in blended cement, such as limestone or chemical inert silica fume, will produce a physical effect on cement hydration. Due to the high surface area of inert filler in the mixtures, it provides sites for the nucleation and growth of hydration products, thus improving the hydration rate of cement compounds and consequently increasing the strength at early age. This paper proposes a model of hydration of Portland cement blended with chemical inert filler. This model considers the influence of water to cement ratio, cement particle size, cement composition and addition of chemical inert filler on hydration. The heat evolution, degree of hydration and porosity are obtained as accompanied results in hydration process. The prediction results agree well with experiment results.

• 터널과지하공간
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• 제28권5호
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• pp.476-492
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• 2018

본 연구에서는 한반도 남부 지역에서 취득 가능한 응회암, 현무암, 섬록암 시험편에 대하여 다양한 실내 시험을 수행하였다. 건조/포화 조건으로 대별하여 실내실험을 수행했으며 이를 바탕으로 포화에 따른 암석 물성변화를 실험적으로 고찰하였다. 실험결과, 비교적 공극률이 작은 시험편을 대상으로 했음에도 불구하고 확연한 강도 저하와 변형 특성 변화가 관찰되었다. 실험결과를 바탕으로 암석의 주요 역학적 물성인 일축압축강도, 탄성계수, 간접인장강도를 예측할 수 있는 회귀모델을 구성하였다. 비파괴 물성인 P파 속도, Shore 경도를 독립변수로 이용하였으며 그 결과 만족할 만한 수준의 물성 예측 모델이 구성되었음을 확인하였다.

• 한국지반환경공학회 논문집
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• 제12권7호
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• pp.57-65
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• 2011

본 연구에서는 3차원 개별요소해석 코드인 Particle Flow Code, $PFC^{3D}$(Itasca)를 이용, 조립재료의 실내 삼축압축시험에 대한 개별요소 수치 모델링을 수행하였으며, 해석 모델과 개별요소를 대상으로 다양한 상사 조건에 대한 개별요소 수치 모델링을 수행, 그 결과를 통해 각각의 스케일 조건이 최종 수치 모델링 결과에 미치는 영향을 분석하였다. 3차원 개별요소 수치 모델링은 기존 2차원 모델링 대비 별도의 간극률 환산 없이 정확한 초기 조건 구현이 가능했으며, 응력-변형 및 체적변화 거동, 강도정수등에 있어 실내시험 결과와 유사한 수치 해석적 예측이 가능하였다. 해석 모델과 개별요소에 대한 다양한 상사비 조건별 수치 모델링 결과, 3차원 해석 시의 안정적 예측결과 도출 및 수치 시험실 활용에 대한 적정성을 확보하되, 해석시간 단축 및 해석 효율성 확보를 위해서는 해석 모델과 개별요소에 대한 적정 상사비 결정이 필요함을 알 수 있었다. 해석 모델의 크기와 개별요소의 입경크기를 변화시켜 개별요소 수치모델링을 수행한 결과, 대부분의 경우 전체적인 응력-변형 거동에 차이가 발생하였지만, 점착력과 내부 마찰각의 강도정수는 $D_{mod}/D_{gmax}$ < 10 조건에 유사한 결과를 보였으며, 개별요소 방법이 수치 시험실 기법을 이용한 강도정수 산정에 효과적으로 적용될 수 있음을 확인할 수 있었다.