[1]于海英,祝 达,周宝峰,等.哈尔滨地铁环境振动噪声测试与降噪处理*[J].地震研究,2020,43(01):166-175.
YU Haiying,ZHU Da,ZHOU Baofeng,et al.Environmental Vibration Noise Measurement and Reduction of the Harbin Metro[J].Journal of Seismological Research,2020,43(01):166-175.
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《地震研究》[ISSN:1000-0666/CN:53-1062/P]
- 卷:
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43
- 期数:
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2020年01期
- 页码:
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166-175
- 栏目:
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- 出版日期:
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2020-01-30
文章信息/Info
- Title:
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Environmental Vibration Noise Measurement and Reduction of the Harbin Metro
- 作者:
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于海英1; 2; 祝 达1; 2; 周宝峰1; 2; 徐 旋1; 2; 马温喜1; 2
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(1.中国地震局工程力学研究所,黑龙江 哈尔滨 150080; 2.中国地震局地震工程与工程振动重点实验室,黑龙江 哈尔滨 150080)
- Author(s):
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YU Haiying1; 2; ZHU Da1; 2; ZHOU Baofeng1; 2; XU Xuan1; 2; MA Wenxi1; 2
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(1.Institute of Engineering Mechanics,China Earthquake Administration,Harbin 150080,Heilongjiang,China)(2.Key Laboratory of Earthquake Engineering and Engineering Vibration,China Earthquake Administration,Harbin 150080,Heilongjiang,China)
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- 关键词:
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城市地铁; 环境振动噪声; 噪声处理; 滤波频带
- Keywords:
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urban subway; environmental vibration noise; noise treatment; filtering frequency band
- 分类号:
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P315.9
- DOI:
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- 摘要:
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考虑地铁环境振动噪声对未来城市地铁地震警报系统中地震信号识别的影响,以包含Ⅱ类和Ⅲ类2种场地土类型的哈尔滨市4个地铁站的上行线首部和尾部作为观测点,展开地铁环境振动噪声的测试、分析以及降噪处理研究。首先,对采集的列车振动数据进行统计分析; 其次,基于滑动平均法,提出确定帕曾窗带宽b值的经验方法,并利用其对采集的地脉动数据进行平滑滤波处理; 最后,采用本方法确定哈尔滨地铁地震P波预警的滤波频带,并与日本气象厅仪器地震烈度以及新干线地震预警系统的滤波频带进行对比。结果表明:①三轴向地铁列车振动信号中,竖向振动比水平向振动要大,切向振动比径向振动要大。②帕曾窗带宽b值为0.4 Hz时,平滑滤波处理后的频谱能较好地反映地脉动信号的频谱主频,且滤波后的地脉动信号的卓越频率和场地土类型有明显的对应关系,即水平向卓越频率和场地土类型的相关性较好,而竖向卓越频率的误差较大。③哈尔滨地铁地震P波预警的滤波频带为0.3~10 Hz时,能较好地滤除地震动信号中的地铁环境振动噪声,满足地震警报系统对地震记录信噪比的要求。
- Abstract:
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Considering the impact of environmental vibration noise induced by current urban subways on the identification of seismic signals of earthquake alert system of future urban subway,we select the upline heads and tails of 4 subway stations of the Harbin Metro Line 1 whose types of site soil include both type Ⅱ and type Ⅲ as the observing points to carry out the measurement and reduction analysis of environmental vibration noise caused by the urban underground.Firstly,we use statistical methods to analyze the data collected from the testing stations,and the analytical result shows that the amplitudes of vertical vibration of the subway train are greater than that of the horizontal vibration and the amplitudes of tangential vibration are greater than that of the radial vibration among the tri-axial train vibration signals of subway train.Secondly,based on the moving average method,we propose an empirical method for determining the bandwidth of the Parzen Window,that is,lue.It shows that when the bandwidth is set as 0.4 Hz,the dominant frequency component of the Fourier spectrum of the ground pulsation signal is salient after the ground pulsation signal are smoothed and filtered.Besides,there are clear corresponding relationships between the predominant frequency of the filtered ground pulsation signal and the type of site soil.In other words,the correlation between the predominant frequency of horizontal ground pulsation signal and the type of site soil is better,while the predominant frequency of vertical ground pulsation signal has a larger error.Finally,based on the empirical method mentioned above,we determine the filtering frequency band of P-wave earthquake early warning system pertaining to the Harbin Metro and then compare it with the filtering frequency band designed for both the Japan Meteorological Agency's instrumental intensity and the Shinkansen earthquake early warning system. And we find that when the filtering frequency band is set between 0.3 Hz and 10 Hz,the P-wave earthquake early warning system of the Harbin Metro can better filter out the frequency components belonging to the environmental vibration noise of the urban subway among the mixture of seismic signal and vibration noise and meet the requirements of the earthquake alert system for the signal-to-noise ratio of the seismic record.
备注/Memo
- 备注/Memo:
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收稿日期:2019-11-15
基金项目:国家重点研发计划(2017YFC1500803)、国家自然科学基金高铁联合基金项目(U1534202)及黑龙江省自然科学基金面上项目(E2015070)联合资助.
更新日期/Last Update:
2020-01-30