• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.118-121
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• 2008

Bimodal tram is a transit with no-step floor for wheel-chaired persons, with docking to the station precisely and moving on schedule like train. Because of the automatic traveling of bimodal tram to search and follow the magnet embedded in roadway, bimodal tram should be careful about rainfall, snow and wind like a car driving on roadway in respect to natural disasters. Though response procedures in emergency are different according to the passengers' boarding, emergency mobilization is needed if any emergency situation happens. Emergency mobilization is the act of preparing for major catastrophic events, which may affect public transportation systems or their service areas, by assembling and organizing resources, including people, equipment, facilities, communications systems, expert technical support, and public information systems and protocols. Mobilization is the process that ensures that the right people will deploy appropriate resources at the correct time. Effective mobilization requires a partnership of local and state agencies. Public transportation operators and systems play vital roles in response to and recovery from emergencies and other unexpected catastrophic events. These systems, and their capabilities to mobilize resources, are profoundly affected by the decisions and directives of others during these activities. In this study, we focused on the emergency management for bimodal tram and reviewed the considerations about infrastructures under natural disasters, especially heavy rainfall.

• Asian Journal of Atmospheric Environment
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• 제2권1호
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• pp.60-67
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• 2008

The spatial limitations of urban environments in general lead to invention and design of a wide range of underground transportation systems such as subways, underground roads and paths, etc. Among them, the application of subway systems in metropolitan cities is most commonly observed to ease those confronted difficulties on this purpose. It in turn leaves passengers and workers to be exposed to indoor air potentially polluted by various sources existing in this underground environment. Specifically when considering the IAQ in a subway station, there exist many IAQ-related parameters to be counted either as individual or as integrated exposures. In this study, a model system has been developed to manage the general IAQ in a subway station. Field survey and $CO_2$ measurements were initially conducted to analyze and understand the relationship between the indoor and outdoor air quality while considering the internal pollution sources such as passengers, subway trains, etc. The measurement data were then employed for the model development with other static information. For the model development, the algorithm of simple continuity was built and applied to model the subway IAQ concerned. In this paper, the recent updated draft version of model developed will be reported and demonstrated.

• International Journal of Railway
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• 제4권4호
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• pp.109-115
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• 2011

An analysis and design method for reducing aerodynamic noise in high-speed trains based on biomimetics of noiseless flight of owl is proposed. Five factors related to the morphology of the flight feather have been selected, and the candidate optimal shape of the flight feather is determined. The turbulent flow field analysis demonstrates that the optimal shape leads to diminished vortex formation by causing separation of the flow as well as allowing the fluid to climb up along the surface of the flight feather. To determine the effect of scaling of the owl's flight feather on the noise reduction, a two-fold and a four-fold scaled up model of the feather are constructed, and the numerical simulations are carried out to obtain the aerodynamic noise levels for each scale. Original model is found to reduce the noise level by 10 dBA, while two-fold increase in length dimensions reduces the noise by 12 dBA. Validation of numerical solution using wind tunnel experimental measurements is presented as well.

• Smart Structures and Systems
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• 제20권6호
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• pp.669-682
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• 2017

The normalised version of bispectrum, the so-called bicoherence, has often proved a reliable method of damage detection on engineering applications. Indeed, higher-order spectral analysis (HOSA) has the advantage of being able to detect non-linearity in the structural dynamic response while being insensitive to ambient vibrations. Skewness in the response may be easily spotted and related to damage conditions, as the majority of common faults and cracks shows bilinear effects. The present study tries to extend the application of HOSA to damage localisation, resorting to a neural network based classification algorithm. In order to validate the approach, a non-linear finite element model of a 4-meters-long cantilever beam has been built. This model could be seen as a first generic concept of more complex structural systems, such as aircraft wings, wind turbine blades, etc. The main aim of the study is to train a Neural Network (NN) able to classify different damage locations, when fed with bispectra. These are computed using the dynamic response of the FE nonlinear model to random noise excitation.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2011년도 제36회 춘계학술대회논문집
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• pp.363-366
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• 2011

마하 2의 초음속 풍동 장치에서 벤트 혼합기를 사용하여 혼합 연소실험을 수행하였다. 혼합실험에서는 헬륨을 사용하였고, 연소실험에서는 수소와 플라즈마 토치를 사용하여 연소 특성을 연구하였다. 혼합실험에서는 벤트 혼합기에 의해 수직분사임에도 불구하고 후류 혼합층에 많은 연료가 잔존하였다. 연소 실험의 경우 낮은 온도의 초음속 유동에서 플라즈마 토치를 사용한 점화와 연소되지 않은 연료-공기 혼합물의 충격파 유도 연소가 후류 영역에서 발생하였다. 열질식이 일어난 경우, shock train이 발생하며 이는 연소기내 연소 불안정성을 유도한다.

• 한국지형학회지
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• 제25권1호
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• pp.97-113
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• 2018

Low-frequency geological natural disaster events such as Pohang earthquake have been occurred. As a results, there's a growing recognition on the importance of education and training for low frequency geological disasters in Korea. In spite of many years of scientific researches on volcanic disaster prevention and preparedness on Baekdusan volcano, the results do not provide the proper scenario for the training for volcanic ash event. Fall 3D volcanic ash diffusion model was run based on wind field data for the last five year, assuming Aso Mountain's explosion with volcanic explosion index 5 for seventy two hours. The management criteria values for proper actions in the previous studies were applied to make a scenario for thirteen groups of the disaster response teams such as train transportation, water supply, electrical facilities and human health. The models on the relationship between education and training for disaster prevention and response were suggested to fulfill the scientific and practical training at local level.

• Nuclear Engineering and Technology
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• 제55권8호
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• pp.2747-2756
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• 2023

Reinforced Concrete (RC) shear walls are one of the civil structures in nuclear power plants to resist lateral loads such as earthquakes and wind loads effectively. Risk-informed and performance-based regulation in the nuclear industry requires considering possible accidents and determining desirable performance on structures. As a result, rather than predicting only the ultimate capacity of structures, the prediction of performances on structures depending on different damage states or various accident scenarios have increasingly needed. This study aims to develop machine-learning models predicting drifts of the RC shear walls according to the damage limit states. The damage limit states are divided into four categories: the onset of cracking, yielding of rebars, crushing of concrete, and structural failure. The data on the drift of shear walls at each damage state are collected from the existing studies, and four regression machine-learning models are used to train the datasets. In addition, the bagging ensemble method is applied to improve the accuracy of the individual machine-learning models. The developed models are to predict the drifts of shear walls consisting of various cross-sections based on designated damage limit states in advance and help to determine the repairing methods according to damage levels to shear walls.

• 한국터널지하공간학회 논문집
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• 제17권3호
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• pp.215-226
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• 2015

본 연구에서는 정량적 위험도 평가를 위한 시나리오 구축시 제반인자가 화재안전성에 미치는 영향을 검토하기 위하여 대피로 폭에 따른 하차시간을 분석하고 단면적별로 제연풍속, 제연방향, 대피방향의 상관관계에 따른 화재특성 및 대피특성을 분석하였다. 적용 단면적은 복선고속철도는 $97m^2$, 단선고속철도는 $58m^2$, 단선일반철도는 $38m^2$로 하였으며, 터널풍속은 0.5~3.5 m/s 조건으로 하였다. 본 연구 결과, 터널의 단면적이 작아지면 터널내 유해가스의 농도가 단면적 감소비 이상으로 증가하는 것으로 나타났으며, 단면적이 작은 경우에는 화재초기에서부터 열차주변의 환경이 성능위주설계기준에서 제시하고 있는 한계기준을 초과하는 것으로 나타났다. 대피특성파악을 위한 유효대피시간을 분석에서는 가시도에 의해서 유효대피시간을 평가하는 경우가 가장 짧게 나타났다. 또한 유해가스에 대한 유효호흡분량(FED)을 해석하여 등가사망자가 발생하는 시점을 기준으로 하여 구한 유효대피시간과는 상당한 차이가 있는 것으로 나타났다.

• 한국항공우주학회지
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• 제41권6호
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• pp.465-472
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• 2013

본 논문에서는 요구 위치에 정밀 착륙을 위한 낙하산 전개지점 선정 기법을 제안한다. 무인기-낙하산 시스템을 위해 9-DOF 운동 모델을 구성하였고, 신경회로망을 학습시키기 위한 입출력 데이터 셋을 구성하였다. 입력 데이터 셋은 현재 항공기 위치, 속도정보 및 바람 정보로 구성되어 있고, 출력 데이터 셋은 9-DOF 운동 모델을 시뮬레이션 하여 획득한 착륙 위치 정보이다. 이를 이용하여 nonlinear function approximator를 구성함으로써 현재 위치로부터 상대적인 착륙 지점을 예측할 수 있고, 예측된 착륙 지점과 요구 착륙 지점과의 상대적인 거리 오차를 계산하여 이를 보상해줌으로써 낙하산 전개 지점을 결정할 수 있다.

• Progress in Superconductivity
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• 제14권1호
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• pp.66-70
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• 2012

Superconductor flywheel energy storage system (SFESs) is an electro-mechanical battery with high energy storage density, long life, and good environmental affinity. SFESs have been developed for application to a regenerative power of train, the storage of distributed power sources such as solar and wind power, and a power quality improvement. As superconductor bearing is completely passive, it is not necessary to control a system elaborately but accurate analysis in mechanical properties of the HTS bearing is very important for application to SFESs. Stiffness and damping properties are the main index for evaluation the capacity of HTS bearings and make it possible to adjust rotordynamic properties while operating the rotor-bearing system. The superconductor bearing consists of a stator containing single grain YBCO bulks, a ring-type permanent magnet rotor with a strong magnetic field that can reach the bulk surface, and a bearing support for assembly to SFESs frame. In this study, we investigated the stiffness and damping properties of superconductor bearings in 35 kWh SFESs. Finally, we found that 35 kWh superconductor bearing has uniform stiffness properties depend on the various orientations of rotor vibration. We discovered total damping coefficient of superconductor bearing is affected by not only magnetic damping in superconductor bulk but also external damping in bearing support. From the results, it is confirmed that the conducted evaluation can considerably improve energy storage efficiency of the SFESs, and these results can be used for the optimal capacity of superconductor bearings of the SFESs.