北京大学学报自然科学版 ›› 2019, Vol. 55 ›› Issue (5): 829-838.DOI: 10.13209/j.0479-8023.2019.072

上一篇    下一篇

高架桥下方高铁地震信号频谱特征研究

蒋一然1,2, 鲍铁钊1,2, 宁杰远1,2,†, 张献兵1   

  1. 1. 北京大学地球与空间科学学院, 北京 100871 2. 高铁地震学联合研究组, 北京 100029
  • 收稿日期:2019-07-17 修回日期:2019-08-14 出版日期:2019-09-20 发布日期:2019-09-20
  • 通讯作者: 宁杰远, E-mail: njy(at)pku.edu.cn
  • 基金资助:
    国家自然科学基金(41874071)资助

Spectral Characteristics of High-Speed Rail Seismic Signal under Viaduct

JIANG Yiran1,2, BAO Tiezhao1,2, NING Jieyuan1,2,†, ZHANG Xianbing1   

  1. 1. School of Earth and Space Sciences, Peking University, Beijing 100871 2. The Joint Research Group of High-Speed Rail Seismology, Beijing 100029
  • Received:2019-07-17 Revised:2019-08-14 Online:2019-09-20 Published:2019-09-20
  • Contact: NING Zhiyuan, E-mail: njy(at)pku.edu.cn

PDF

摘要：

使用北京大学架设的临时台阵中11个高铁高架桥下的短周期台站11天记录到的由951列高铁激发的共10461条地震记录, 利用K-Means聚类算法, 研究其频谱如何随列车的速度、模型、铁轨和路基变化而变化。近匀速运动的高铁所产生的高铁地震波的频谱主要由等间隔的峰组成, 其基频等于速度与车厢长度的比值。通过调整基频来降低列车速度的影响, 可使频谱模式更稳定, 便于比较。聚类结果表明, 高铁地震的频谱在相同车型、铁轨和路基条件下, 表现出稳定的模式; 这种稳定的频谱模式随车型、铁轨和路基条件的变化而显著变化。对这种稳定的频谱特征的监测, 可用于高速铁路的安全监控。

关键词: 高铁, 震源, 频谱, 聚类

Abstract:

Employing a total of 10461 seismic records induced by 951 high-speed trains recorded by 11 shortperiod stations of a temporary array deployed by Peking University under the high-speed railway viaduct, we observe how the spectral characteristics vary with the speed and model of the train as well as the rail and groundsill by using a clustering algorithm K-Means. For a high-speed train in uniform motion, the spectrum of the produced seismic wave is mainly composed of nearly equally spaced peaks and its fundamental frequency is equal to the ratio of the train speed to the carriage length. By aligning the fundamental frequency, the influence of the train speed is reduced to make the spectrum pattern time-independent and easy for comparison. Clustering results show that the spectra of the high-speed rail seismic events have stable patterns when the train model, rail and groundsill conditions keep the same; the stable spectrum patterns change significantly with the change of the train model, rail and groundsill conditions. The monitoring of the stable spectral characteristics might possibly be used in safety control of high-speed rail.

Key words: high-speed rail, seismic source, spectrum, clustering algorithm

版权所有 © 《北京大学学报（自然科学版）》编辑部
技术支持：北京玛格泰克科技发展有限公司