The Marcus Wallenberg Laboratory for Sound and Vibration Research (MWL), Department of Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden; The Centre for ECO2 Vehicle Design, KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden.
Accumera AB, Lidingo 18137, Sweden.
Sci Total Environ. 2022 Sep 15;839:156216. doi: 10.1016/j.scitotenv.2022.156216. Epub 2022 May 25.
The Environmental Noise Directive (2002/49/EC) requires all European Union Member States to produce strategic noise maps using a common assessment methodology: CNOSSOS-EU. The reliability of CNOSSOS-EU railway noise evaluation is dependent on the input vehicle and track transfer functions. The CNOSSOS-EU default database contains the currently available choices for these transfer functions. However, these available transfer functions are limited and of insufficient quality, resulting in large errors in noise level calculations. An approach is presented, introducing an established analytical railway rolling noise calculation technique (TWINS), to extract more reliable and specific transfer functions. A case study consisting of railway rolling noise mitigation measures is defined and used as the basis for extracting and testing these transfer functions. The extracted transfer functions reduce the average deviation between CNOSSOS-EU and reference calculations using TWINS from 6.1 dB(A) to 0.8 dB(A) in absolute sound power levels, and from 1.2 db(A) to 0.3 dB(A) in estimates of noise reduction potential for the defined mitigation measures. Application of this approach shows potential to improve the quality and depth of the existing CNOSSOS-EU default database. This may lead to more reliable estimations of railway noise in the strategic noise maps and the subsequent assessment of its harmful effects.
《环境噪声指令（2002/49/EC）》要求所有欧盟成员国使用共同评估方法（CNOSSOS-EU）来制作战略噪声图。CNOSSOS-EU 铁路噪声评估的可靠性取决于输入车辆和轨道传递函数。CNOSSOS-EU 默认数据库包含这些传递函数目前可用的选择。然而，这些可用的传递函数有限且质量不足，导致噪声水平计算中出现较大误差。本文提出了一种方法，引入了一种成熟的铁路滚动噪声分析计算技术（TWINS），以提取更可靠和具体的传递函数。定义了一个包含铁路滚动噪声缓解措施的案例研究，并将其作为提取和测试这些传递函数的基础。提取的传递函数将 CNOSSOS-EU 和使用 TWINS 进行参考计算之间的平均偏差从绝对声功率级的 6.1dB(A)降低到 0.8dB(A)，并将定义的缓解措施的噪声降低潜力估计值从 1.2dB(A)降低到 0.3dB(A)。该方法的应用具有提高现有 CNOSSOS-EU 默认数据库的质量和深度的潜力。这可能会导致战略噪声图中铁路噪声的估计更加可靠，并随后对其有害影响进行评估。
