• Applied Chemistry for Engineering
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• v.10 no.3
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• pp.456-460
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• 1999

The YHB radial distribution functions of a linear gas molecule CO were calculated by a computer within the Stockmayer molecular potential molel, which assumed thc CO molecule as a simple dipolar molecule. To examine the validity of the obtained YHB radial distribution of CO gas molecule, the density dependent pressures of CO at several temperatures were also calculated. The calculated pressures showed a good agreement with literially known experimental CO pressure data. The temperatures examined were 273, 298, and 373 K and the densities were up to $0.013/{\AA}^3$ (maximum pressure = 1000 atm). Since the calculated pressures showed a good agreement with the experimental values, the obtained YHB radial distribution functions of CO molecule seemed good enough to obtain and predict various equilibrium physical and chemical quantities of CO molecule sensitive to density such as pressure. It was also found that in CO gas system the dipole-dipole interaction is effective up to approximately 2.5 molecular diameter.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.1
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• pp.101-111
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• 1993

Many processes such as machining, injection-moulding and metal-forming are usually operated by hydraulic servo-systems. The dynamic characteristics of these systems are complex and highly non-linear and are often subjected to the uncertain external disturbances associated with the processes. Consequently, the conventional approach to the controller design for these systems may not guarantee accurate tracking control performance. An effective neuro-fuzzy controller is proposed to realize an accurate hydraulic servo-system regardless of the uncertainties and the external disturbances. For this purpose, first, we develop a simplified fuzzy logic controller which have multidimensional and unsymmetric membership functions. Secondly, we develop a neural network which consists of the parameters of the fuzzy logic controller. It is show that the neural network has both learning capability and linguistic representation capability. The proposed controller was implemented on a hydraulic servo-system. Feedback error learning architecture is adopted which uses the feedback error directly without passing through the dynamics or inverse transfer function of the hydraulic servo-system to train the neuro-fuzzy controller. A series of simulations was performed for the position-tracking control of the system subjected to external disturbances. The results of simulations show that regardless of inherent non-linearities and disturbances, an accuracy tracking-control performance is obtained using the proposed neuro-fuzzy controller.

• Journal of Korean Society of Steel Construction
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• v.14 no.5 s.60
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• pp.613-625
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• 2002

This paper aimed to investigate the damage process of steel parts experiencing failure under strong repeated loading. Likewise, a damage index using various factors related to the damage was proposed. An analysis method for evaluating the damage state was also developed. The damage assessment method focused on the local strain history at the cross-section of the heaviest concentration of deformation. Cantilever-type steel parts were analyzed under uniaxial load combined with a constant axial load, considering horizontal displacement history, Loading patterns and steel types were considered as the main parameters in analyzing the models. The effects of the parameters on the failure modes, deformation capacity, and damage process as seen from the analysis results were also discussed. Each failure process was compared as steel types. In addition, the failure of steel parts under strong repeated loading was determined according to loading. Results revealed that the state of the failure is closely related to the local plastic strain.

• Journal of Korean Society of Steel Construction
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• v.21 no.6
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• pp.609-618
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• 2009

This paper proposes a versatile formula which can be used to evaluate the fire resistant time of steel beams under various design conditions. Towards this end, the key parameters which affect the fire performance of steel beams were first determined through thermo-mechanical considerations, and classified into two groups: structural parameters and thermal parameters. Then the degree of influence of each parameter on the fire performance was investigated through a fully coupled thermo-mechanical analysis up to the occurrence of run-away deflection. The accuracy of the numerical model used was verified using an available full-scale fire test before conducting an extensive parametric analysis. Multiple linear regression analysis was performed to obtain the formula which can be used to predict the fire resistance time of steel beams under various design conditions. The statistical analysis showed that the proposed formula is very robust. The application of the formula in practical fire design under the current code was illustrated in detail. The economy and other advantages of the proposed formula were clearly shown.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.302-302
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• 2012

최근 비 휘발성 메모리 시장의 확대와 수요가 많아지면서, 비휘발성 메모리 소자의 제작에 대한 연구가 활발히 진행되고 있다. 특히, 실리사이드 나노입자를 적용한 소자는 현 실리콘 기반의 반도체 공정의 적용이 용이하다. 따라서 본 연구에서는 실리사이드 계열의 화합물 중에서 일함수가 4.63 eV인 Vanadium silicide (V3Si) 나노입자 메모리소자를 제작하여 전기적 특성과 열 안정성에 대하여 알아보았다. p-Si기판에 약 6nm 두께의 SiO2 터널층을 건식 산화 방법으로 성장시킨 후 V3Si 나노입자를 제작하기 위해서 V3Si 금속박막을 스퍼터링 방법으로 4 nm~6 nm의 두께로 터널 절연막 위에 증착시켰다. 그리고 컨트롤 절연막으로 SiO2를 초고진공 스퍼터를 이용하여 50 nm 증착하였고, 급속 열처리 방법으로 질소 분위기에서 $800^{\circ}C$의 5초 동안 열처리하여 V3Si 나노 입자를 형성하였다. 마지막으로 200 nm두께의 Al을 증착하고, 리소그래피 공정을 통하여 채널 길이와 너비가 각각 $2{\mu}m$, $5{\mu}m$, $10{\mu}m$를 가지는 트랜지스터를 제작하였다. 제작된 시편의 V3Si 나노입자의 크기와 균일성은 투과 전자 현미경으로 확인하였고, 후 열처리 공정 이후 V3Si의 존재여부의 확인을 위해서 X-ray 광전자 분광법의 표면분석기술을 이용하여 확인하였다. 소자의 전기적인 측정은 Agilent E4980A LCR meter, 1-MHz HP4280A와 HP 8166A pulse generator, HP4156A precision semiconductor parameter analyzer을 이용하여 측정온도를 $125^{\circ}C$까지 변화시키면서 전기적인 특성을 확인하였다. 본 연구에서는 온도에 선형적 의존성을 가지는 전하누설 모델인 T-model 을 이용하여 나노입자 비휘발성 메모리소자의 전하누설 근원을 확인한 후, 메모리 소자의 동작 특성과의 물리적인 연관성을 논의하였다. 이를 바탕으로 나노입자 비휘발성 메모리소자의 열적안정성을 확보하고 소자 특성향상을 위한 최적화 구조를 제안하고자 한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.6
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• pp.537-543
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• 2016

A new approach to systematically model aerodynamic coefficients using an adaptive sampling based wind tunnel testing considering cost is proposed. The Latin Hypercube design is used for selecting initial test points. The Gaussian Process (GP) is iteratively used during the experiment to determine additional experimental points that minimizes the uncertainty reduction per incremental cost. A numerical simulation based experiment was conducted using the static aerodynamic coefficient database a fighter aircraft, which demonstrated the validity of the proposed method.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.3
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• pp.101-109
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• 2008

Many researchers have reported that adding steel fiber to concrete improved its tensile and flexural strength significantly, but relatively few studies have been made on the compressive behavior of steel fiber-reinforced concrete. It is still less in case of high strength steel fiber-reinforced cementitious composites(SFRC). The main objective of this research is to examine the effect of adding steel fiber on the compressive strength of high strength SFRC using fiber reinforcing index(RI, $V_f(I_f/d_f)$). It was found from the study that compressive strength was noticeably increased in proportion to RI. In conclusion, the relationship between Reinforcing Index(RI) and compressive strength in case of high strength steel fiber-reinforced cementitious composites was suggested.

• Journal of Korean Association for Spatial Structures
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• v.10 no.3
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• pp.65-74
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• 2010

In this study, the vibration control effect according to the installation location of the sky-bridge and the difference of natural periods of the connected buildings has been investigated. To this end, 40-story and 50-story building structures connected by a sky-bridge were used as example structures and the equivalent modeling method was used. Boundary nonlinear time history analyses were performed using El Centro and Taft earthquakes to investigate the dynamic behavior of the example structures and vibration control effect of the sky-bridge. Based on numerical results, it has been shown that displacement responses can be effectively controlled as the installation floor of the sky-bridge increases and acceleration responses can be effectively reduced when the sky-bridge is installed on the mid-stories of the example building.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.137-146
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• 2011

In order to support increased consumer awareness regarding energy consumption, we present new ways of monitoring and predicting with energy in electric appliances. The proposed system is a design of a common electrical power outlet called smart plug that measures the amount of current passing through current sensor at 0.5 second. To acquire data for training and testing the proposed neural network, weather parameters used include average temperature of day, min and max temperature, humidity, and sunshine hour as input data, and power consumption as target data from smart plug. Using the experimental data for training, the neural network model based on Back-Propagation algorithm was developed. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the proposed neural network model can predict the power consumption quite well with correlation coefficient was 0.9965, and prediction mean square error was 0.02033.

• Journal of the Society of Naval Architects of Korea
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• v.29 no.2
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• pp.115-122
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• 1992

A sandwich element is a special Hybrid structural form of the composite construction, which is consisted of three main parts : thin, stiff and relatively high density faces separated by a thick, light, and weaker core material. In a sandwich construction, the shear deformation of the faces. Therefore, in the calculation of the bending stiffness, the shear effect should be included. In this paper, the minimum weight is selected as an object function, as the weight critical structures are usually composed of these kind of construction. To obtain the minimum weight of sandwich panel, the principle of minimum potential energy is used and as for the design constraints, the allowable bending stress of face material, the allowable shear stress of core material, the allowable value of panel deflection and the wrinkling stress of faces are adopted, as well as the different boundary conditions. For the engineering purpose of sandwich panel design, the results are tabulated, which are calculated by using the nonlinear optimization technique SUMT.