| 去除交通环境振动观测记录中本底振动的自互功率谱法 |
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| 引用本文： | 郑鑫,陶夏新,王福彤,解恒燕.去除交通环境振动观测记录中本底振动的自互功率谱法[J].地球物理学报,2013,56(1):348-353. |
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| 作者姓名： | 郑鑫 陶夏新 王福彤 解恒燕 |
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| 作者单位： | 1. 黑龙江八一农垦大学工程学院, 黑龙江 大庆 163319;
2. 哈尔滨工业大学土木工程学院, 哈尔滨 150090;
3. 中国地震局工程力学研究所, 哈尔滨 150080;
4. 黑龙江大学建筑工程学院, 哈尔滨 150001 |
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| 基金项目： | 国家自然科学基金重点项目(50538030);黑龙江省教育厅科学技术研究面上项目“轨道交通引起的季冻区冬夏两季饱和土场地环境振动衰减关系研究”资助 |
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| 摘 要： | 去除环境振动观测记录中的本底振动是提高信噪比、揭示交通环境振动特征的一个重要环节.本文在分析现有从交通环境振动观测记录中去除本底振动方法不足的基础上,从考虑本底振动与观测振动互相关性出发,提出了采用自互功率谱法去除本底振动的新方法,推导了计算公式,并通过实际算例论证了方法的可靠性.分析结果表明,本文提出的自互功率谱法能够更有效地去除观测数据中的本底干扰,获得更贴近实际的交通环境振动的功率谱、时程、振动级以及加权振级.在本底振动占优势的低频段,本文提出的方法较现有方法计算精度有明显的提高.
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| 关 键 词： | 交通环境振动 本底振动 自互功率谱法 振动级 |
| 收稿时间： | 2011-12-12 |
An auto-cross PSD method to remove background vibration from observational records of traffic environment vibration |
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| ZHENG Xin
,
TAO Xia-Xin
,
WANG Fu-Tong
,
XIE Heng-Yan.An auto-cross PSD method to remove background vibration from observational records of traffic environment vibration[J].Chinese Journal of Geophysics,2013,56(1):348-353. |
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| Authors: | ZHENG Xin TAO Xia-Xin WANG Fu-Tong XIE Heng-Yan |
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| Institution: | 1. Department of Engineering, Heilongjiang Bayi Agricultural University, Daqing Heilongjiang 163319, China;
2. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;
3. Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China;
4. School of Civil Engineering and Architecture, Heilongjiang University, Harbin 150001, China |
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| Abstract: | Removing background vibration from the observational records of traffic environment vibration is an important step in increasing the signal to noise ratio and demonstrating the characteristics of traffic environment vibration. In this work, the shortcomings of existing methods to resolve this task are analyzed. Then, an idea of removing the background vibration from the auto-cross spectrum was put forward, in which the cross-relativity between the background vibration and the observed vibration is considered. The calculation formula is derived and the reliability of this method is demonstrated through an example. The results show that using the auto-cross spectrum method, the background vibration in observation data can be removed more effectively, and the power spectrum, time history, vibration level and weighted level of the traffic environment vibration that are close to the real ones are obtained. In the low-frequency band dominated by background vibration,the method presented in this paper is superior to the other current methods in accuracy. |
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| Keywords: | Traffic environment vibration Background vibration Auto-cross PSD method Vibration level |
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