【摘要】 为揭示隧道爆破噪声声源特性，给精准、科学的噪声污染防治提供理论基础，基于互补集合经验模态分解(complementary ensemble empirical mode decomposition, CEEMD)改进的希尔伯特-黄变换(Hilbert-Huang transform, HHT)方法分析了实测隧道爆破空气噪声的时间-频率-能量特征，并运用统计学原理对所测系列噪声的主频带进行了估计。主要结论如下：(1)CEEMD-HHT法有效滤除了噪声信号中的无关高、低频分量；(2)隧道爆破噪声信号在幅值和能量方面都呈现瞬时脉冲特点，信号频带分布宽，频率成分丰富，但能量主要集中于低频段的窄带内；(3)宜采用基于主要能量分布特点确定的主频带描述爆破噪声信号特征；(4)所测系列爆破噪声的能量绝大部分(>95%)分布在80 Hz以下，次声波(<20 Hz)频段所含能量>30%。文章的研究结果可为隧道爆破噪声的源头防控提供理论指导。更多还原

【Abstract】 To reveal the characteristics of tunnel blast noise sources and provide a theoretical basis for accurate and scientific noise pollution prevention, the time-frequency-energy characteristics of the measured tunnel blast airborne noise were analyzed by improved Hilbert Huang transform(HHT) based on the Complementary Ensemble Empirical Mode Decomposition(CEEMD), and statistical principles were used to estimate the main frequency band of the measured series of noise.The main conclusions are:(1) The CEEMD-HHT method effectively filters out irrelevant high and low frequency components in the noise signal;(2) The tunnel blast noise signal exhibits instantaneous pulse characteristics in both amplitude and energy, with a wide frequency band distribution and rich frequency components, but the energy is mainly concentrated in the narrow band of the low frequency range;(3) It’s better to use the main frequency band based on the main energy distribution to describe the characteristics of blast noise signals;(4) The main vibration frequency of the measured series of blast noise are mostly(>95%) below 80 Hz, and the energy content in the infrasound frequency band is greater than 30%. The research results can provide theoretical guidance for the source prevention and control of tunnel blasting noise.更多还原