• 한국소음진동공학회논문집
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• 제15권6호
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• pp.635-644
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• 2005

This paper is. a study on relation between road traffic noise(RTN) and sound power level(PWL). At present, many experimental formulae and prediction formulae are used for prediction of RTN. But these formulae are difficult to appiy to the metropolitan area because these formulae are inaccurate in the different condition from reference condition. This paper calculate RTN and PWL of each prediction formula, choose the best one and make a noise map of the subject area. Procedure is as follows. First, calculate $L_{eq}$ of RTN using experimental formulae and prediction formulae. Second, calculate PWL using $L_{eq}$ of RTN and distance attenuation for point source at semi-free field. Third, choose the most accurate formula. And finally, make a noise map of the subject area at present and future. The result using noise map will be able to apply to application field. Noise mapping tool used on this paper is Raynoise program using Ray Tracing Method(RTM), Mirror Image Source Method(MISM) and Hybrid Method(HM).

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.942-946
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• 2010

As the major sources of interior noise of train at running condition are the wheel/rail contact noise, the traction motor's noise and the driving gear's noise and these noise sources are transmitted through the car body, the noises of HVAC and air duct can be ignored. But the interior noise of train at standstill condition is decided by HVAC's noise and noise from the diffuser through the air duct. the interior noise prediction of train at standstill condition should be performed considering the shape of air duct, the air velocity and noise reduction property inside the air duct. But it is hard to estimate the interior noise level by the numerical method. Therefore train maker predict the interior noise level using The commercial noise prediction program. This paper introduce the noise prediction method of the train at standstill condition using the commercial program appling the ray tracing method and statistical energy analysis.

• 한국소음진동공학회논문집
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• 제11권4호
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• pp.58-64
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• 2001

Sound absorbing materials are applied to the exposed surfaces of curvet subway tunnel for the reduction of curving noise level. Before the treatment, acoustical engineering simulation is performed to predict the noise level reduction for different kinds and amounts of absorbing material. The principle of geometrical acoustics is utilized to perform the simulation efficiently and accurately. The noise bevels of the inside and outside of running car body are measured to find the noise level reduction. The average noise level reduction of 8 dB has been attained. It has been shown that the simulated results are comparable to the measured ones.

• 한국음향학회지
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• 제22권1호
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• pp.7-13
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• 2003

컴퓨터에 의한 실내음향 예측에 있어 확산반사의 고려는 매우 중요한 요소의 하나로 간주된다. 지난 수년동안 음선추적법과 빔추적법에서 확산반사를 고려하기 위한 방안들이 활발하게 연구되었으나 경면반사를 근본으로 하는 영상법에서는 아직 충분한 연구가 이루어지지 않고 있다. 부분적으로 확산성을 갖는 반사면에서의 음향에너지 반사는 확산반사와 경면반사의 형태로 나누어 볼 수 있으며 반사를 거듭함에 따라 확산-확산, 확산-경면, 경면-확산, 경면-경면의 형태로 반사에너지의 전환이 이루어진다. 본 연구에서는 실내의 벽면을 부분적으로 확산반사의 특성을 갖는 반사면으로 모델링하여 경면반사음은 기존의 영상법으로 계산하고 확산반사음은 라디오시티법을 적용하여 산출하는 확장라디오시티법을 도입하였다. 본 논문에서는 확장라디오시티법의 개념과 이에 따른 고차형태계수의 계산법을 제시하고 고차형태계수가 실내음향 시뮬레이션의 결과에 미치는 영향 등을 분석해 보았다.