• Proceedings of the KSR Conference
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• 2003.10c
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• pp.358-362
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• 2003

Numerical simulation is conducted to clarify the heat transfer and fluid flow characteristics of HVAC(Heating, Ventilating and Air-Conditioning} for double-deck train. The HVAC system is installed under the roof of carbody. In the lay-out of HVAC system, air duct must be installed to supply air to 1st and 2nd floor respectively. The standard k-epsilon turbulent models and SIMPLEC algorithm based on finite volume method are used to solve the physical HVAC model. To assure convergence, QUICK scheme for momentum equation and the first order upwind scheme for turbulent equations are used. From the results of simulation, the temperature and velocity magnitude are also distributed uniformly in the interior of passenger car.

• Composites Research
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• v.32 no.1
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• pp.29-36
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• 2019

The purpose of this paper is to suggest a lightweight design for the aluminum extrusion carbody structure of a double deck high-speed train using material substitution and size optimization method. In order to conduct material substitution, the topology optimization was used to determine the application parts of sandwich composites at the carbody structures. The results of analysis showed that sandwich composites could be applied at roof and 2nd underframe. The size optimization was used to determine thickness of the aluminum extruded and carbon/epoxy composite. The design variable, state constraint and objective function were formulated to solve the size optimization, and then, the feasible design was presented by these conditions. The results of the lightweight design showed that the weight of double deck high-speed train hybrid carbody could be reduced by 2.18(17.70%) tons.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.748-753
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• 2004

Aluminum alloy is very useful material for high speed transportations due to its high strength and light weight characteristics. Especially because of a weight reduction a large extrustion of aluminum alloy carbody has been manufactured. This aluminum extruded panel is a hallow extruded panel. This shape and thickness is various by designer's sense and experience and VAW's profiles. So it is important to find an optimized shape and thickness of AEP. In this study we get the AEP's thickness to minimize a weight by applying an applying an optimization algorithm. The results of the study can be used as basic guidelines double-deck trains in the future.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1138-1142
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• 2010

High speed railway structure, contact of vehicle needs to design considering the running stability(dynamic behavior). Also, upper structure has to satisfy design standard about moving load, high speed train(KTX). So, the high speed railway structure has to satisfy the requirement of natural frequency, vertical acceleration on deck, face distortion and vertical displacement considering ride comfort, which is suggested Ho-nam high speed railway design standard. In this study, it was investigated and evaluated to the dynamic behavior for a double-rib arch railway bridge subjected to moving load considering real high speed train loads.

• Proceedings of the KSR Conference
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• 2002.05a
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• pp.135-141
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• 2002

Recently, in the metro railways, researches on the skip-stop operation and development of the double deck train-set are active, which is to improve the service quality through reducing the passenger travel time and suppling seating service. Constructing new line or reforming the existent line needs huge amount of budget. Therefore, previous to start these large scale projects, scrutiny on benefit improvement, cost reduction and those optimal trade-off is indispensable. In this paper, a quantitative analysis to determine the optimal train service patterns and train-sets necessary is proposed, under the skip-stop operation condition in the metro railways. The analysis models are formulated in mathematical programming model, and tested validity using the LINGO 7.0.

• Proceedings of the KSR Conference
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• 1999.05a
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• pp.75-82
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• 1999

본 연구의 목적은 구체 경량화의 일환으로써, 복합재료(3-X Board, Al extrusion panel, etc) 사용에 대한 가능성을 판단하기 위한 기초자료를 구축하는데 있다. 해석 대상은 2층 기차의 객차부분이고, 구체에 적용하는 복합재료는 3-X Board를 이용하였다. 구체의 구조 건전성을 평가하기 위해 상용 유한요소 프로그램을 이용하여 다양한 하중 하에서의 응력해석을 수행하였다. 구체에 사용되는 복합재료(3-X board)의 응력발생 경향을 파악하는 것이 목적이므로, 상세한 모델보다는 단순화한 모델을 이용하였다. 응력집중은 센터실(center sill), 1층 바닥과 측면과의 연결부, 그리고, 구체의 앞부분 창문 모서리에서 발생하였다. 압축 및 수직하중 하에서의 응력값들은 재료의 항복강도 내에 존재하였으나, 고유진동수는 제한 값보다 낮은 값을 갖았다. 현재 상세 모델에 대한 해석을 수행 중에 있다. 본 연구는 복합재료(3-X board)가 적용된 구체에 대한 초기 연구로써 만족할 만한 결과를 제시한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.81-87
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• 2017

This paper describes the dynamic behavior and enhancement of Korean high-speed trains. The tail vibration reduction method of the yaw damper installation method change, which was derived from previous research, was applied to the running test of high-speed train. In addition, the vibration reduction method for the entire vehicle was derived by a numerical method and its effect was confirmed by a running test. The improved design was applied to the double-deck high-speed train coaches and the commissioning proceeded without problems in dynamic behavior. Sensitivity analysis of the suspension parameters affecting the critical speed of Korean next-generation high-speed trains was performed and four design variables that greatly affected the critical speed were derived. These were in the order of the primary elastic joint x-directional stiffness, the secondary yaw damper series stiffness, the secondary lateral damper damping coefficient, and the carbody damper damping coefficient. By optimizing the design variables, the suspension parameter that improves the critical speed by 23.3% can be used in the commercial designs of Korean next-generation high-speed trains.

• Structural Monitoring and Maintenance
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• v.2 no.1
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• pp.77-93
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• 2015

The idea of using measured dynamic characteristics for damage detection is attractive because it allows for a global evaluation of the structural health and condition. However, vibration-based damage detection for complex structures such as long-span cable-supported bridges still remains a challenge. As a suspension or cable-stayed bridge involves in general thousands of structural components, the conventional damage detection methods based on model updating and/or parameter identification might result in ill-conditioning and non-uniqueness in the solution of inverse problems. Alternatively, methods that utilize, to the utmost extent, information from forward problems and avoid direct solution to inverse problems would be more suitable for vibration-based damage detection of long-span cable-supported bridges. The auto-associative neural network (ANN) technique and the probabilistic neural network (PNN) technique, that both eschew inverse problems, have been proposed for identifying and locating damage in suspension and cable-stayed bridges. Without the help of a structural model, ANNs with appropriate configuration can be trained using only the measured modal frequencies from healthy structure under varying environmental conditions, and a new set of modal frequency data acquired from an unknown state of the structure is then fed into the trained ANNs for damage presence identification. With the help of a structural model, PNNs can be configured using the relative changes of modal frequencies before and after damage by assuming damage at different locations, and then the measured modal frequencies from the structure can be presented to locate the damage. However, such formulated ANNs and PNNs may still be incompetent to identify damage occurring at the deck members of a cable-supported bridge because of very low modal sensitivity to the damage. The present study endeavors to enhance the damage identification capability of ANNs and PNNs when being applied for identification of damage incurred at deck members. Effort is first made to construct combined modal parameters which are synthesized from measured modal frequencies and modal shape components to train ANNs for damage alarming. With the purpose of improving identification accuracy, effort is then made to configure PNNs for damage localization by adapting the smoothing parameter in the Bayesian classifier to different values for different pattern classes. The performance of the ANNs with their input being modal frequencies and the combined modal parameters respectively and the PNNs with constant and adaptive smoothing parameters respectively is evaluated through simulation studies of identifying damage inflicted on different deck members of the double-deck suspension Tsing Ma Bridge.