• Composites Research
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• v.30 no.6
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• pp.410-415
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• 2017

This paper predicted deformation due to thermal residual stress in composites using finite element analysis. Temperature cycle, Model shape, Laminate angle, Stacking sequence, chemical shrinkage of resin, and thermal expansion are affect composite deformation. Compare the results of the analytical model with the actual model of the same shape. This paper suggests that the analytical results can be applied to actual Model.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.153-158
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• 2020

In this study, the thermal and stress analyses were performed by applying a temperature condition of 100℃ at CPU cooler model. The value of heat flux value is shown to be the most at the lower rod area. The upper part becomes, the smaller the heat flow rate. The highest temperature is shown at the bottom of the CPU cooler model. Overall, the upper part becomes, the smaller the temperature becomes. Based on the temperature analysis, the thermal deformation caused by expansion, the deformation becomes smaller as the upper part of the overlapping plates. The great deformation happens at the bent area of the small rod as the lower part of model and the least deformation is shown at the lowest floor of model. In addition, the maximum thermal stress of 570.63 MPa happens at the floor below model. The stress is shown to decrease as the upper part of the overlapping plates becomes. But the stress is shown to increase somewhat at the middle part of model. By applying the study result on the thermal and stress analyses of CPU cooler, this study is seen to be suitable for the aesthetic convergence.

• 전기의세계
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• v.42 no.9
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• pp.38-45
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• 1993

자기변형소자는 압전소자에 비해 변위가 크고, 발생력이 크다는 장점으로 인해 압전소자를 대치할 소자로 기대된다. 하지만 자기변형소자가 주목받기 시작한지 얼마되지 않았기 때문에 실제 응용에 있어서 문제점이 완벽하게 해결된 상태는 아니다. 본문에서도 언급했듯이 높은 주파수에서 동작할때 와전류로 인한 특성의 저하, 구동하는데 많은 전류를 흘려야 하기 때문에 발생하는 열에 의한 변위의 변화 등의 문제는 실제 응용시 꼭 해결해야할 것들이다. 국내에서는 자기변형소자에 대한 연구가 전무한 상태이므로 특정한 분야의 응용에 앞서 소자 자체의 특성에 대한 심도있는 연구가 선행되어야 할 것이다. 자기변형소자의 특성에 대한 축적된 빠른 시간내에 자기변형소자를 이용한 좋은 응용이 나오기를 기대할 수 있을 것이다.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.570-573
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• 2018

본 논문에서는 한국 가요 학습 데이터를 노래 가사 마디 단위로 문자열을 역전시키는 형태로 변형하고 LSTM으로 학습하여, 마디 간의 문맥을 고려해 문자열을 생성하는 방법에 대해 제안한다. 그리고 이를 통해 특정 가요 가사와 유사하면서도 다른 가사를 생성하는 것도 가능하다. 문자열의 우측 끝에 위치하면서 마디 간의 문맥을 연결해 주는 서술어, 접속사와 같은 요소를 활용하기 위해 데이터를 변형하여 적용한다. 제안하는 방식으로 생성한 문자열이 단순히 문자열 데이터를 그대로 학습하여 생성하는 것보다 상대적으로 더 자연스러운 문맥으로 생성되는 것을 확인하였다.

• Composites Research
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• v.36 no.2
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• pp.117-125
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• 2023

This paper proposes a new finite element formulation based on enhanced first-order shear deformation theory including the transverse normal strain effect via the mixed formulation (EFSDTM-TN) for the effective thermo-mechanical analysis of laminated composite structures. The main objective of the EFSDTM-TN is to provide an accurate and efficient solution in describing the thermo-mechanical behavior of laminated composite structures by systematically establishing the relationship between two independent fields (displacement and transverse stress fields) via the mixed formulation. Another key feature is to consider the thermal strain effect without additional unknown variables by introducing a refined transverse displacement field. In the finite element formulation, an eight-node isoparametric plate element is newly developed to implement the advantage of the EFSDTM-TN. Numerical solutions for the thermo-mechanical behavior of laminated composite structures are compared with those available in the open literature to demonstrate the numerical performance of the proposed finite element model.

• Journal of the Earthquake Engineering Society of Korea
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• v.8 no.2
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• pp.19-25
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• 2004

The linear analysis for the balance of linear momentum of a structure is relatively easy to perform, but the error becomes large when the structure experiences large deformation. Therefore, the material and geometric nonlinearity need to be considered for the precise calculations in that case. The plastic flow of a ductile steel-like metal mainly transforms its dissipated mechanical energy into heat, which transfers under the first and second law of thermodynamics. This heat increases the temperature of the material and the strength of the material decreases accordingly, which affects mechanical behavior of the given structure. This paper presents a finite-strain thermo-elasto-plastic steel model. This model can handle large deformation and thermal load simultaneously, which is common during earthquake periods. Two 3-dimensional finite element analyses verify this formulation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.7
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• pp.911-917
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• 2010

In this study, we performed structural and fatigue analyses of the engine exhaust manifold that was subjected to thermo-mechanical cyclic loading. The methodologies used in this study are based on an approach in which the techniques for modeling the exhaust system, the temperature-dependent properties of the material, and thermal cyclic loading are taken into consideration and a reliable strategy is adopted for failure prediction. An application example shows that at an elevated temperature, considerable compressive plastic deformation is observed and that at a low temperature, tensile stresses remain in those parts of the test exhaust manifold where failure is observed. In order to predict fatigue life, mechanical damage is determined on the basis of the stress.strain hysteresis loops by using the classical Coffin.Manson equation and by adopting a method in which the dissipated plastic energy is taken into consideration.

• The Korean Journal of Applied Statistics
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• v.18 no.1
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• pp.137-146
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• 2005

Neural network is one of the most notable technique. It usually provides more powerful forecasting models than the traditional time series techniques. Employing the Ensemble technique in forecasting model, one should provide a initial distribution. Usually the uniform distribution is assumed so that the initialization is noninformative. However, it would be expected a sequential informative initialization based on data rather than the uniform initialization gives further reduction in forecasting error. In this note, a modified Ensemble algorithm using sequential initial probability is developed. The sequential distribution is designed to have much weight on the recent data.

• Journal of the Korea institute for structural maintenance and inspection
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• v.7 no.3
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• pp.133-138
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• 2003

As concrete structures are heated, thermal strain can be developed. Because of the boundary conditions, the thermal stress may be arisen. Thermal strain and temperature were measured simultaneously using an optical fiber sensor. Fiber Bragg Grating Sensor(FBG sensor) was used in the measurement. Because it can measure the strains more than two points with one line, it was possible to measure both thermal strain and temperature with one line. To compare data measured by FBG sensor, strain and temperature were measured using strain gauge and thermocouple. The FBG sensor could measure the strain under the temperature greater than $60^{\circ}C$ but strain gauge couldn't. Both the FBG temperature sensor and thermocouple could measure the temperature and the results are related each other linearly.

• Journal of Korean Society of Steel Construction
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• v.19 no.3
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• pp.291-301
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• 2007

The overlay model is a certain kinds of numerical analysis method to present the material non-lineariy which is represented the baushinger effect and the strain hardening. This model simulates the complex behavior of material by controlling the properties of the layers which like the hardening ratio, the section area and the yield stress. In this paper, the constitutive equation and plastic flow rule of each layer which are laid in the plane stress field are obtained by using the thermodynamics. Two numerical examples were tested for the validity of proposed method in uniaxial stress and plane stress field with comparable experimental results. The only parameter for the test is the yield stress distribution of each layers.