DOI QR코드

DOI QR Code

Study on the improvement of prediction model for the railway environmental noise using ISO 9613-2

ISO 9613-2를 이용한 철도 환경소음 예측 모델 개선에 관한 연구

  • Received : 2016.10.11
  • Accepted : 2016.12.30
  • Published : 2017.02.28

Abstract

Approximate empirical equations obtained by measuring overall noise levels at different distances have been used to evaluate environmental influence of the railway noise though the accurate prediction of noise levels is important. In this paper, a noise prediction model considering the frequency characteristics of noise sources and propagation was suggested to improve the accuracy of noise prediction. The railway noise source was assorted into track, wheel, traction and aerodynamic components and they were characterized with the source strength and speed coefficient at each octave-band frequency. Correction terms for the acoustic roughness and the track/bridge condition were introduced. The sound attenuation from a source to a receiver was calculated taking account of the geometrical divergence, atmospheric absorption, ground effect, diffraction at obstacles and directivity of source by applying ISO 9613-2. For obtaining the source strength and speed coefficients, the results of rolling noise model, numerical analysis and measurements of pass-by noise were analyzed. We compared the predicted and measured noise levels in various vehicles and tracks, and verified the accuracy of the present model. It is found that the present model gives less error than the conventional one, so that it can be applied to make the accurate prediction of railway noise effect and establish its countermeasures efficiently.

철도 소음의 환경영향평가 업무에 있어서 소음도에 대한 정확한 예측이 중요하지만, 국내에서는 overall 소음도의 거리별 측정을 통한 경험식이 근사적으로 이용되고 있다. 본 논문에서는 소음원과 소음전파의 주파수 특성을 고려하여 철도 소음의 예측 정확도를 향상할 수 있는 예측 모델을 제안하였다. 먼저 철도 소음원을 궤도(레일 및 침목), 차륜, 동력, 공력 성분으로 구분하여 각각의 옥타브 밴드 주파수별 음향파워와 속도계수를 정의하고 음향 조도와 궤도/교량 특성을 반영할 수 있는 보정항을 도입하였다. 소음원에서 수음점까지의 전파 특성은 ISO 9613-2를 적용하여 기하학적 확산, 대기 흡음, 지면 효과, 장애물의 회절에 따른 감쇠 및 지향특성을 반영하여 계산하였다. 소음원 음향파워와 지향인자를 추정하기 위하여 전동 소음원 해석 모델 및 수치해석 결과와 통과 소음도 측정값을 이용하였다. 본 철도 소음 예측 모델을 이용하여 여러 철도 차량과 궤도 유형에 따라서 예측한 소음도를 측정값과 비교하여 정확도를 검증하였으며 기존 예측 모델보다 비교적 정확한 예측이 가능하였다. 따라서 본 결과는 철도 환경 소음의 정확한 영향 예측과 효율적인 소음 저감 대책 수립에 활용될 수 있을 것이다.

Keywords

References

  1. Beek AV, Verheijen E. 2003. Definition of track influence: roughness in rolling noise. Report of the HARMONOISE project. HAR12TR-020813-AEA10, Netherlands.
  2. Hecht M, Wunderli JM, Thron T, Sehu D. 2010. sonRAIL-The new Swiss calculation model for railway noise. Proceedings of the 10th International Workshop on Railway Noise(IWRN). 559-566.
  3. ISO 3095:2005. Railway applications - Acoustics - Measurement of noise emitted by railbound vehicles.
  4. ISO 9613-2:1996. Acoustics - Attenuation of sound during propagation outdoors - Part 2: General method of calculation.
  5. Jang SH, Jang EH. 2013. Study on the noise source modeling and the source strength estimation of Mugungwha trains running on the conventional railway. Transactions of the KSNVE. 23(11): 1020-1026. [Korean Literature] https://doi.org/10.5050/KSNVE.2013.23.11.1020
  6. Jang SH, Jang EH, Park B, Choi W. 2013. Study on the improvement of prediction model for railway environmental noise. Proceedings of the Conference of the Korean Society of Environmental Impact Assessment; 2013 Oct 25; Seoul: 107-108. [Korean Literature]
  7. Jang SH, Ryue JS. 2013. Study on the rolling noise model using an analysis of wheel and rail vibration characteristics. Journal of the Korean Society for Railway. 16(3): 175-182. [Korean Literature] https://doi.org/10.7782/JKSR.2013.16.3.175
  8. Janssens MHA, Dittrich MG, Beer FG, Jones CJC. 2006. Railway noise measurement method for pass-by noise, total effective roughness, transfer functions and track spatial decay. Journal of Sound and Vibration. 293: 1007-1028. https://doi.org/10.1016/j.jsv.2005.08.070
  9. Koh HI, Nordborg A, Rho HM. 2013. A study on the measurement technology of noise sources of the high speed train, Proceedings of the 10th International Workshop on Railway Nois(IWRN).
  10. KR: Study on the impact prediction for the establishment of countermeasure against the railway noise and vibration. 2013. Korea Rail Network Authority. [Korean Literature]
  11. Leeuwen HJAV. Railway noise prediction models: a comparison. Journal of Sound and Vibration. 2000. 231(3): 975-987. https://doi.org/10.1006/jsvi.1999.2570
  12. Microsoft corp. 2010. Microsoft Office 2010 Excel.
  13. Moehler U, Kurze UJ, Liepert M, Onnich H. 2008. The new German prediction model for railway noise "Schall 03 2006": An alternative method for the Harmonoise calculation method proposed in the EU Directive on environmental noise. Acta Acustica united with Acustica. 94: 548-552. https://doi.org/10.3813/AAA.918063
  14. NIER: Establishment of railroad noise monitoring network. 2002. National Institute of Environmental Research. [Korean Literature]
  15. NIER: Improvement of environmental impact assessment of noise(II) - on Prediction of railway noise. 2009. National Institute of Environmental Research. [Korean Literature]
  16. Ryue JS, Jang SH. 2012. Comparison of track vibration characteristics for domestic railway tracks in the aspect of rolling noise. Journal of the Korean Society for Railway. 16(2): 85-92. [Korean Literature] https://doi.org/10.7782/JKSR.2013.16.2.085
  17. Talotte C, Stap P, Ringheim M, Dittrich M, Zhang X, Stiebel D. 2006. Railway source models for integration in the new European noise prediction method proposed in Harmonoise. Journal of Sound and Vibration. 293: 975-985. https://doi.org/10.1016/j.jsv.2005.12.020
  18. Thompson DJ. 2009. Railway noise and vibration: mechanisms, modelling and means of control. Oxford, UK: Elsevier Ltd.