Urban road traffic noise spectra and their effects on spectral correctionin sound insulation evaluation

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (19) : 287-297.

CAI Yangsheng1,2, CHEN Zhihui2, AKRAM A N A1, YUAN Minmin3,4

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Abstract

The current sound insulation evaluation standard refers to the traffic noise data measured in northern Europe in the 1980s as the basis for the spectrum correction for traffic noise. For the purpose of exploring whether Ctr correction is still appropriate in evaluating current urban road traffic noise and more precisely evaluating the sound insulation performance of building components that are affected by traffic noise. A variety of urban traffic road noise is monitored in this paper, a new set of traffic noise spectrum correction curves CA is proposed in accordance with the measurements, weighted sound insulation is computed for 11 common exterior window structures at different frequency frequencies, and differences in sound pressure level spectrums with various spectrum corrections are analyzed and compared. Results of the study indicate that road traffic noise spectrums in different cities possess similar characteristics such as high low-frequency sound pressure levels, stable medium frequency sounds, and low high-frequency sounds. In today's urban environment, the low-frequency energy of road traffic noise is much lower than the frequency spectrum referenced by Ctr, and its energy spectrum distribution is closer to C100-3150. After comparing and analyzing the spectrum correction of traffic noise in 11 groups of external windows with the current standard, CA falls within the range between C and Ctr reference spectra. Considering that the correlation coefficient between CA and the C and Ctr reference spectra is greater than 0.9 and higher than the correlation coefficient R2 between C and Ctr, CA has a greater potential for application and representativeness for analyzing the urban traffic noise spectrum. Consequently, the research results can provide data references for residential sound insulation and noise reduction projects affected by urban traffic noise.

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CAI Yangsheng1, 2, CHEN Zhihui2, AKRAM A N A1, YUAN Minmin3, 4. Urban road traffic noise spectra and their effects on spectral correctionin sound insulation evaluation[J]. Journal of Vibration and Shock, 2024, 43(19): 287-297

References

[1] 中国环境噪声污染防治报告（2022）[R].中华人民共和国环境保护部.2022.
[2] VAN KEMPEN, ELISE, CASAS, MARIBEL, PERSHAGEN et al. WHO environmental noise guidelines for the european region: a systematic review on environmental noise and cardiovascular and metabolic effects: a summary[J]. International Journal of Environmental Research and Public Health,2018,15(2):379.
[3] Adverse cardiovascular effects of traffic noise with a focus on nighttime noise and the new WHO noise guidelines[J]. Annual Review of PublicHealth,2020,41309-328.
[4] GB/T 50121-2005. 建筑隔声评价标准[S]. 北京：中国标准出版社，2005.
[5] ISO 717-1:1996: Acoustics - Rating of sound insulation in buildings and of building elements
[6] NT ACOU 061 Windows traffic noise reduction Indices . Nordtest Method
[7] ISO 717-2020, Acoustics-Rating of sound insulation in buildings and of building elements[S]
[8] Koskinen V, Hongisto V. Tieliikennemelun taajuusjakauma[J]. 2011.
[9] Ho K Y, Hung W T, Ng C F, et al. The effects of road surface and tyre deterioration on tyre/road noise emission[J]. Applied Acoustics, 2013, 74(7): 921-925.
[10] Buratti C，Moretti E. Traffic noise pollution: spectra characteristics and windows sound insulation in laboratory and field measurements[J]. Journal of Environmental Science and Engineering.2010,4(12): 28-36.
[11] 李玥.高铁交通噪声声源的空气声隔声评价频谱修正量研究[D].华南理工大学,2020.
[12] Landström U, Åkerlund E, Kjellberg A, et al. Exposure levels, tonal components, and noise annoyance in working environments[J]. Environment International, 1995, 21(3): 265-275.
[13] Birgit RB，Rindel JH. Sound insulation between dwellings-descriptors applied in building regulations in Europe［J］. Applied Acoustics, 2010( 71) : 171-180．
[14] Park H K，Bradley J S. Evaluating standard airborne sound insulation measures in terms of annoyance, loudness, and audibility ratings［J］. JASA，2009，126( 1) : 208 －219．
[15] Mathys J. Low-frequency noise and acoustical standards[J]. applied acoustics, 1993, 40(3): 185-199.
[16] Rindel J H. Acoustic quality and sound insulation between dwellings[J]. Building Acoustics, 1998, 5(4): 291-301.
[17] Rychtáriková M, Muellner H, Chmelík V, et al. Perceived loudness of neighbor sounds heard through heavy and light-weight walls with equal R w+ C 50–5000[J]. Acta Acustica united with Acustica, 2016, 102(1): 58-66.
[18] Virjonen P, Hongisto V, Mäkelä M M, et al. Optimized reference spectrum for rating the façade sound insulation[J]. The Journal of the Acoustical Society of America, 2020, 148(5): 3107-3116.
[19] 福州市交通运输局.福州交通概况.2022.
[20] GB 3222.2-2022, 声学环境噪声的描述、测量与评价第2部分：声压级测定 [S]. 北京：中国标准出版社，2022.
[21] GB/T 3785.2-2010，电声学声级计(第2部分):型式评价试验[S]，北京，中国标准出版社，2010.
[22] JTGB01-2020，公路工程技术标准[S].北京：中国标准出版社，2020.
[23] 马春燕,赵剑强.西安市高速公路上不同车型车辆交通噪声及其行驶速度的统计分析[J].交通环保,2005(03):22-25.
[24] 丁真真,赵剑强,陈莹等.公路交通噪声频率特征及等效频率研究[J].应用声学,2015,34(01):40-44.
[25] Sandberg U. Road traffic noise—The influence of the road surface and its characterization[J]. Applied Acoustics, 1987, 21(2): 97-118.
[26] ISO 226:2003：Acoustics—Normal equal-loudness-level contours[S]
[27] Miskinis K, Dikavicius V, Bliudzius R, et al. Comparison of sound insulation of windows with double glass units[J]. Applied Acoustics, 2015, 92: 42-46.
[28] Park H K, Bradley J S. Evaluating signal-to-noise ratios, loudness, and related measures as indicators of airborne sound insulation[J]. The Journal of the Acoustical Society of America, 2009, 126(3): 1219-1230.
[29] Park H K, Bradley J S. Evaluating standard airborne sound insulation measures in terms of annoyance, loudness, and audibility ratings[J]. The Journal of the Acoustical Society of America, 2009, 126(1): 208-219.
[30] Rasmussen B, Rindel J H. Sound insulation between dwellings-descriptors applied in building regulations in Europe[J].Applied Acoustics. 2010,71:171-180.
[31] Varma S, Simon R. Bias in error estimation when using cross-validation for model selection[J]. BMC bioinformatics, 2006, 7(1): 1-8.
[32] Virjonen P, Hongisto V, Mäkelä M M, et al. Optimized reference spectrum for rating the façade sound insulation[J]. The Journal of the Acoustical Society of America, 2020, 148(5): 3107-3116.
[33] de la Prida D, Pedrero A, Navacerrada M Á, et al. An annoyance-related SNQ for the assessment of airborne sound insulation for urban-type sounds[J]. Applied Acoustics, 2020, 168: 107432.
[34] Ziqin L ,Ming C ,Feng L , et al. Study of the traffic noise source emission model and the frequency spectrum analysis of electric vehicles on urban roads in China[J].Acta Acustica united with Acustica,2018,104(6):989-998.
[35] Julien C ,Simon B ,MarieAgnès P , et al. Road surface influence on electric vehicle noise emission at urban speed[J].Noise Mapping,2021,8(1):217-227.