Train-induced vibration attenuation measurements and prediction from ground soil to building column

被引:0
|
作者
Zihao Hu
Li Tian
Chao Zou
Jie Wu
机构
[1] Guangdong University of Technology,School of Civil and Transportation Engineering
[2] Guangzhou Metro Design & Research Institute Co. Ltd.,School of Civil Engineering and Architecture
[3] Wuhan Polytechnic University,undefined
关键词
Train-induced vibration; Vibration prediction; Attenuation; Vibration transmission; Metro depot; Over-track building;
D O I
暂无
中图分类号
学科分类号
摘要
The investigation of the influence of soil-structure coupling on the vibration propagation pattern is the key to ensuring the reliability of the prediction of train-induced building vibration. This study selects different metro depots with over-track buildings as the research objects based on the existing engineering examples. It analyzes the general laws of vibration propagation from the ground soil to the building columns. The study provides valuable references for predicting vibration and designing vibration isolation measures for over-track buildings. Additionally, this study proposes a vibration prediction method for over-track buildings above metro depots based on the back propagation (BP) neural network model in machine learning. This model considers the soil-structure coupling loss in a data-driven manner based on the rich data samples, which avoids the problems of complex numerical simulation calculations and parameter uncertainties to some extent. This prediction method has a good balance of efficiency and convenience and also meets the accuracy requirements. It was judged to be a promising prediction method for the preliminary design stage of the over-track buildings above metro depots.
引用
收藏
页码:39076 / 39092
页数:16
相关论文
共 50 条
  • [21] Prediction of train-induced ground-borne vibration transmission considering parametric uncertainties
    Tao, Ziyu
    Zhang, Duo
    Tu, Desi
    He, Lingshan
    Zou, Chao
    PROBABILISTIC ENGINEERING MECHANICS, 2025, 79
  • [22] Screening efficiency of open trenches to train-induced ground vibration
    Cao Zhi-gang
    Cai Yuan-qiang
    Xu Chang-jie
    ROCK AND SOIL MECHANICS, 2012, 33 (08) : 2373 - 2382
  • [23] A theoretical study on the influence of the track on train-induced ground vibration
    Sheng, X
    Jones, CJC
    Thompson, DJ
    JOURNAL OF SOUND AND VIBRATION, 2004, 272 (3-5) : 909 - 936
  • [24] Effects of Wheel Polygon on the Underground Train-Induced Vibration in a Building
    Wang, Li
    He, Chunyan
    Zhu, Bin
    Li, Zili
    ADVANCES IN DYNAMICS OF VEHICLES ON ROADS AND TRACKS III, VOL 1, IAVSD 2023, 2025, : 1151 - 1160
  • [25] Experimental validation of a numerical model for prediction of metro train-induced ground-surface vibration
    Liu, Wei-Feng
    Liu, Wei-Ning
    Degrande, G.
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2010, 23 (04): : 373 - 379
  • [26] A hybrid methodology for the prediction of subway train-induced building vibrations based on the ground surface response
    Tu, Wenbo
    Shen, Lunqiang
    Zhang, Pengfei
    Zhang, Xiaolei
    Liu, Linya
    Chen, Juan
    TRANSPORTATION GEOTECHNICS, 2024, 48
  • [27] Validation of an empirical prediction model for train-induced ground vibrations
    Wei, P. B.
    Xia, H.
    Chen, J. G.
    PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON ENVIRONMENT VIBRATIONS: PREDICTION, MONITORING, MITIGATION AND EVALUATION, ISEV 2007, 2007, : 185 - 190
  • [28] Prediction method for subway train-induced environmental vibration responses
    Liu, W., 1600, Chinese Academy of Railway Sciences (34):
  • [29] Validation of an empirical model for prediction of train-induced ground vibrations
    With, Christoffer
    Bahrekazemi, Mehdi
    Bodare, Anders
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2006, 26 (11) : 983 - 990
  • [30] Evaluating the effect of vibration isolation mats on train-induced ground vibrations
    Malmborg, J.
    Persson, K.
    Persson, P.
    ADVANCES IN ENGINEERING MATERIALS, STRUCTURES AND SYSTEMS: INNOVATIONS, MECHANICS AND APPLICATIONS, 2019, : 85 - 90