Annoyance level of metro train-induced environmental vibration based on evaluation index conversion method

被引:0
|
作者
Ma, Meng [1 ]
Wang, Tingling [1 ]
Wang, Jiaxin [1 ]
机构
[1] School of Civil Engineering, Beijing Jiaotong University, Beijing,100044, China
来源
关键词
D O I
10.13465/j.cnki.jvs.2024.11.034
中图分类号
学科分类号
摘要
Here, to study the relation between metro train-induced environmental vibration level and human subjective annoyance, the index conversion algorithm was used to derive the conversion relation between the maximum Z-vibration level VLZ,maxand the quartic vibration dose value (VDV). Coefficients to be determined in the conversion formula were fitted through on-site testing. Drawing lessons from study results of exposure-response relation based on the index VDV, exposure-response curves based on the index VLZ,maxwere obtained, and the evaluation of resident vibration annoyance level based on the recommended index according to Chinese national standards was preliminarily realized. The study showed that increase in number of passing cars per unit of time can lead to increase in the proportion of human annoyance; resident annoyance levels corresponding to recommended vibration limits in national standards GB 10070, GB/T 50355 and GB 55016 are basically consistent with those corresponding to limit values in international standards; the proportion of high annoyance levels corresponding to the strictest limit value is about 3% . © 2024 Chinese Vibration Engineering Society. All rights reserved.
引用
收藏
页码:306 / 311
相关论文
共 50 条
  • [31] Prediction of underground metro train-induced ground vibration using hybrid PSO-ANN approach
    Naveen Kumar Kedia
    Anil Kumar
    Yogendra Singh
    Neural Computing and Applications, 2023, 35 : 8171 - 8195
  • [32] Prediction of underground metro train-induced ground vibration using hybrid PSO-ANN approach
    Kedia, Naveen Kumar
    Kumar, Anil
    Singh, Yogendra
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (11): : 8171 - 8195
  • [33] Fundamental research of train-induced vibration based on measurement at railway tunnel
    Tsuno, K
    Konishi, S
    Furuta, M
    Asakura, T
    ENVIRONMENTAL ROCK ENGINEERING, 2003, : 305 - 311
  • [34] Embedding human annoyance rate models in wireless smart sensors for assessing the influence of subway train-induced ambient vibration
    Sun, Ke
    Zhang, Wei
    Ding, Huaping
    Kim, Robin E.
    Spencer, Billie F., Jr.
    SMART MATERIALS AND STRUCTURES, 2016, 25 (10)
  • [35] Metro train-induced vibration influences on surrounding environments based on sliced finite element-infinite element coupled model
    Ma L.
    Liu W.
    Jiang Y.
    Yan Q.
    1600, Chinese Vibration Engineering Society (36): : 111 - 117
  • [36] Field Test and Numerical Study of Train-Induced Vibration of Over-Track Buildings Above Metro Depot
    Chen, Zhaowei
    Wan, Fangshuang
    He, Chunyan
    URBAN RAIL TRANSIT, 2024, : 361 - 375
  • [37] Study of the train-induced vibration impact on a historic Bell Tower above two spatially overlapping metro lines
    Ma, Meng
    Liu, Weining
    Qian, Chunyu
    Deng, Guohua
    Li, Yudong
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2016, 81 : 58 - 74
  • [38] Experimental study of the source and transmission characteristics of train-induced vibration in the over-track building in a metro depot
    Liang, Ruihua
    Ding, Deyun
    Liu, Weifeng
    Sun, Fangqiu
    Cheng, Yilong
    JOURNAL OF VIBRATION AND CONTROL, 2023, 29 (7-8) : 1738 - 1751
  • [39] Transmission characteristics of train-induced vibration in buildings based on wave propagation analysis
    Cao, Rongning
    Ma, Meng
    Sun, Xiaojing
    Chen, Jialiang
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 378
  • [40] Analysis of uncertainty and variation in underground train-induced vibration based on measured data
    He, Yuanpeng
    Peng, Laixian
    He, Kuang
    Guan, Qinghua
    Han, Jian
    Xiao, Xinbiao
    Sheng, Xiaozhen
    MEASUREMENT, 2023, 222