• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 춘계학술대회 논문집
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• pp.1236-1241
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• 2011

Railway bridge is the most problematic thing in the railway is due to noise and vibration. To solve these problems, there have been studies. However, a fundamental alternative to the noise and vibration. It has not so far not shown, and to minimize the problem is focused. As a result, developed a lot of noise reduction measures, but the vibration is not much for reduction. In this study, to support the superstructure of the bridge vibration possible for spherical elastomeric bearing is a technical review. And it applies to the railway bridge, the numerical analysis was carried out.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.908-912
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• 2008

Structure-borne noise is known to dominate internal running noise levels in open field. In this paper vibration isolation characteristics of floors are investigated to see their effect on the internal running noise. By using the analysis and test results of test specimen of small size, internal running noise level of complete train is estimated. Analysis results show that soft rubber as a vibration isolator has the most favorable effect on the inside running noise.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2014년도 추계학술대회 논문집
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• pp.119-120
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• 2014

This study presents an development of impact damper and its application to reduction of railway vibration from moving roads. The impact damper for reducing trnsverse vibration from moving loads were designed and verified using simple dynamic model. To verify the performance of the impact damper, the vibration of a simplified beam with the impact damper was measured. The performance on reducing vibration for different clearance and mass ratio of the damper was investigated. The numerical solutions were verified using the experimental results from a simplified beam. The result can be utilized to reduce the rolling noise from high-speed trains.

• 한국철도학회논문집
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• 제16권5호
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• pp.353-357
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• 2013

근래에 들어 철도 주변에 있는 부지와 철도차량기지 등에 산재되어 있는 유휴토지를 적극적으로 활용하여 주택을 건설하려는 사회적 변화가 시도되고 있다. 본 논문에서는 철도차량기지 주변에 기 건설되어 있던 고층아파트 단지의 진동소음문제를 분석한 사례연구결과를 제시하고 이에 대해 논하고자 한다. 사례로 등장하는 철도단지는 지하철의 차량기지에 있는 유휴공간을 적극적으로 활용코자 차량기지 상부에 16 개 동의 대단위 아파트 단지를 건설한 경우이다. 거주민은 정비기지에 철도차량이 진, 출입할 때마다 나타나는 소음진동으로 인해 열악한 주거상황을 호소해 오고 있었다. 본 논문에서는 일차적으로 인공대지의 동적인 특성을 설명한 후 정비기지에 진출입하는 차량의 진동소음발생 특성을 기술한다. 발생원으로 인해 아파트 고층에서 진동, 소음을 측정하고 물리적 수준과 특징을 검토하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 춘계학술대회논문집
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• pp.974-978
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• 2006

To improve the riding comfort and to increase the speed of high-speed railway, it needs active suspension system for railway more and more. In Korea, Korean Train Express (KTX) was opened to commercial traffic 2years ago. Korea High-speed Railway (HSR 350x) is being developed and succeeded 350km/h test run. With the increase of the speed, the vibration control of the high-speed railway becomes important to meet high ride quality. In this paper, we suggest the install of lateral damper to HSR 350x. The result shows better ride quality.

• 한국소음진동공학회논문집
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• 제23권11호
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• pp.1020-1026
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• 2013

An accurate railway environmental noise prediction model is required to make the proper solution of the railway noise problems. In this paper, an engineering model for predicting the noise of conventional passenger cars is presented considering the acoustic source strength in octave-band frequencies and the propagation over grounds with varying surface properties. Since the formation of a train can be variable, the source strength of each locomotive and passenger car was estimated by measuring the pass-by noise and analysing the wheel-rail rolling noise. Some validation cases show on the average small differences between the predictions of the present model and the measurement results.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2008년도 춘계학술대회논문집
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• pp.500-504
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• 2008

Residents in an area where both trains and cars pass through are exposed to not only road traffic noise but also railway noise. Nevertheless, the degree of annoyance the caused to the residents is being under evaluated as the noises have been evaluated separately. Therefore, this study aimed at evaluating the integrated noise of road traffic and railway, and proving the accuracy of the evaluation result.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 춘계학술대회논문집
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• pp.366-371
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• 2004

For the reduction and efficient management of railway noise, first of all prediction of railway noise is necessarily requisted. At home and abroad many studies for prediction of raiiway nearby noise have been accomplished. But it is impossible to predict easily and exactly for the Korean Railway, because the acoustic powers for each rolling stock operated in Korea have not been built yet. So in this study, prediction model equation for environmental noise for Korean rolling stock Mugungwha was suggested using SEL of engine and rolling noise component separately. In this prediction model, the number of car, distance from the rail can be considered. Finally for the validation of prediction nlodel equation, the predicted Leq was compared to the measured Leq.

• 한국소음진동공학회논문집
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• 제18권7호
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• pp.741-745
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• 2008

Residents in an area where both trains and cars pass through are exposed to not only road traffic noise but also railway noise. Nevertheless, the degree of annoyance the caused to the residents is being under evaluated as the noises have been evaluated separately. Therefore, this study aimed at evaluating the integrated noise of road traffic and railway, and proving the accuracy of the evaluation result.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2013년도 추계학술대회 논문집
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• pp.564-569
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• 2013

An accurate railway environmental noise prediction model is required to make the proper solution of the railway noise problems. In this paper, an engineering model for predicting the noise of conventional passenger cars is presented considering the acoustic source strength in octave-band frequencies and the propagation over grounds with varying surface properties. Since the formation of a train can be variable, the source strength of each locomotive and passenger car was estimated by measuring the pass-by noise and analysing the wheel-rail rolling noise. Some validation cases show on the average small differences between the predictions of the present model and the measurement results.