• 제목/요약/키워드: NMPB 2008

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NMPB 2008의 기상학적 요소를 고려한 도로교통소음 예측 (Prediction of Road Traffic Noise By NMPB 2008 Considering Meteorological Effect)

  • 김필립;안소연;류훈재;박태호;장서일
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 추계학술대회 논문집
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    • pp.943-947
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    • 2014
  • NMPB 2008을 포함한 일부 소음 예측식에서는 기상학적 요소를 고려할 수 있다. 특히 NMPB 2008을 이용하여 소음을 예측할 경우에는 기상학적인 요소의 고려는 필수적이다. 하지만, 우리나라의 실제 기상 상황을 반영할 수 있는 방법이 없는 것이 현실이다. 본 연구에서는 기상학적 요소를 적용하기 위해서 하향 굴절 발생 빈도를 적용하여 소음도를 비교하였다. 기상학적 요소의 하향 굴절 발생 빈도의 증가에 따라 소음도가 증가하는 것을 확인하였고, 1kHz 이상의 주파수에서 거리에 따른 소음도의 차이에 상대적으로 큰 영향을 미치는 것을 확인하였다. 기상학적 요소의 적용은 예측 소음도의 정확도를 향상시킬 것으로 기대된다.

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공동주택 소음예측 방법에 관한 연구 (Study on the efficient noise prediction for an apartment house)

  • 고준희;김동준;박수진;장서일;조만희
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 춘계학술대회논문집
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    • pp.505-509
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    • 2008
  • This paper studied the efficient noise prediction method for new apartment house near the road traffic noise. Three noise prediction software were compared by each prediction noise level using the simple model which is included the road, soundproofing wall and building. Two foreign national calculation models(RLS-90 and NMPB) were verified by comparison of measured sound level. Frequency of sound level was predicted by NMPB and compared by measured data. The sphere of noise source and facade reflection were proposed to accurate predict the road traffic noise in new apartment house.

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차량 분류에 따른 ASJ 2008 예측 모델 적용에 관한 연구 (A Study on Application using ASJ 2008 Prediction Model according to Vehicle Classification)

  • 박재식;윤효석;한재민;박상규
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2012년도 추계학술대회 논문집
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    • pp.153-158
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    • 2012
  • Noise maps are produced according to 'The Method of making a Noise Map' in order to noise control efficiently, and prediction model to predict road traffic noise which may apply to Korean situation, include CRTN, RLS 90, NMPB, Nord 2000 and ASJ 2003. Of them, ASJ 2003, Japan's prediction model has not been verified for the application to Korean situation according to the classification of vehicle. In addition, ASJ 2003 was revised to ASJ 2008 recently, a classification for motorcycle was added. This study attempts to check the classification of vehicle in ASJ 2008 and 'The Method of making a Noise Map' to confirm the suitability of the application of them to Korean situation.

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공동주택 도로교통소음 예측방법 고찰 (Examination of Prediction Model for Road Traffic Noise in Apartment)

  • 박현구;송국곤;송민정;장길수;김선우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 춘계학술대회논문집
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    • pp.1-4
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    • 2008
  • Prediction models currently being used for road traffic noise in apartment are equation of NIER, HW-NOISE of Korea Expressway Corporation, FHWA of United States, CRTN of United Kingdom, NMPB of France, ASJ RTN-Model 2003 of Japan and ISO 9613-1, 2 as a international standard. ISO 9613 species an engineering method for calculating the attenuation of sound during propagation outdoors in order to predict the levels of environmental noise at a distance from a variety of sources. This study, prior to investigation of every prediction methods listed above, aims to examine the model internationally standardized and to establish a reference for the prediction of road traffic noise in apartment.

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일반도로 및 고속도로에서의 소음 예측식 적용에 관한 연구 (A Study on Application of Noise prediction models according to General Road and Expressway)

  • 윤효석;윤성철;박인선;박상규
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2012년도 추계학술대회 논문집
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    • pp.161-166
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    • 2012
  • This Study, as part of a study on the application plan of overseas noise prediction models suitable for making domestic noise maps, analyzed the correlation between the differences in predicted noise levels by individual noise prediction model and surveyed data on General roads and Expressways. Separation distances of 5m and 10m, respectively were set from the ends of the general roads and the expressways at the points of measurements and to check the distribution patterns of sound power levels, the levels were measured at the heights of 1.5m and 3m, respectively. The latest revised versions of the five models (CRTN, RLS90, NMPB, Nord2000, ASJ2008) suggested in The Method of making Noise Maps were used as prediction models, and predicted noise levels were calculated by using commercial software SoundPLAN (Ver 7.1).

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