Volume 20 Issue 3
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2020  >  20(3): 1-16
Next
MA Meng, LIU Wei-ning, LIU Wei-feng. Research progresses of prediction method and uncertainty of train-induced environmental vibration[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 1-16. doi: 10.19818/j.cnki.1671-1637.2020.03.001
Citation: MA Meng, LIU Wei-ning, LIU Wei-feng. Research progresses of prediction method and uncertainty of train-induced environmental vibration[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 1-16. doi: 10.19818/j.cnki.1671-1637.2020.03.001
shu

Research progresses of prediction method and uncertainty of train-induced environmental vibration

doi: 10.19818/j.cnki.1671-1637.2020.03.001

  • School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China

Funds:

National Natural Science Foundation of China 51978043

National Natural Science Foundation of China 51778049

More Information
  • Author Bio:

    MA Meng(1983-), male, associate professor, PhD, mameng@bjtu.edu.cn

  • Received Date: 2020-03-29
  • Publish Date: 2020-06-25
    Abstract
  • Various prediction methods and their uncertainty problems for the train-induced environmental vibration were summarized systematically. Various methods and models developed in the recent decade were summarized in three prediction classes such as the scoping prediction, determined prediction and detail prediction. The stochastic uncertainty of model input parameters was discussed, including the uncertainties caused by the difference between trains, the wheel and rail wear growth, and the input soil parameters in the prediction model. Based on the new measurement results, the influence of wheel and rail wear state on the uncertainty of vibration source intensity of metro was analyzed. Research result indicates that the machine learning method and analytical transfer function method of soil layers can be employed in the scoping prediction stage. In the determined prediction stage, various numerical and analytical models improve gradually, and their prediction efficiencies increase gradually. However, the wheel-rail excitation input method considering the developments of wheel and rail wear still needs to be further improved. The dynamics model of building structure with clear vibration propagation path and for the engineering prediction should still be further developed. In the detail prediction, the hybrid prediction method needs to be developed, and the application on the vibration prediction for underground metro lines should be investigated. Up to now, there is lack of researches on the accuracy and precision of prediction result and the reliability of prediction method. Most predictions can only provide results with determined values. The uncertainties of wheel and rail wear, operation maintenance level and vibration propagation in the soil layers cannot be considered. It is suggested to further develop the micro vibration acquisition device with remote intelligent offline sampling function, and it can be permanently installed on the building structures, so as to combine this technique with the machine learning method to adapt to the development requirements of intelligent prediction in future. It is suggested to develop the roughness spectrum that can describe the rail short-wave wear state grade and wheel out-of-round grade, and establish a dynamic environmental vibration prediction model in a whole maintenance and repair cycle. The intelligent prediction method with reliability and accuracy requirements should be developed, and the prediction should be fundamentally changed from the fixed value prediction to the probability prediction in future.

     

    • FullText(HTML)
  • loading
    • References(112)
  • [1]
    ZHAI Wan-ming, ZHAO Chun-fa. Frontiers and challenges of sciences and technologies in modern railway engineering[J]. Journal of Southwest Jiaotong University, 2016, 51(2): 209-226. (in Chinese). doi: 10.3969/j.issn.0258-2724.2016.02.001
    [2]
    LIU Wei-feng, LIU Wei-ning, NIE Zhi-li, et al. Prediction of effects of vibration induced by running metro trains on sensitive instruments[J]. Journal of Vibration and Shock, 2013, 32(8): 18-23. (in Chinese). doi: 10.3969/j.issn.1000-3835.2013.08.004
    [3]
    MA Meng, LIU Wei-ning. Overview and key problem analysis of the vibration influences on historic buildings induced by moving trains in China[J]. Noise and Vibration Control, 2019, 39(4): 1-6, 69. (in Chinese). doi: 10.3969/j.issn.1006-1355.2019.04.001
    [4]
    LIU Li, WANG Wen-bin, CHEN Xi, et al. Study on excessive vibration in buildings caused by urban rail transit[J]. Railway Standard Design, 2015, 59(8): 150-155. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TDBS201508032.htm
    [5]
    WU Chong-shan, LU Qing-pu. Evaluation misunderstanding of environmental noise and environmental vibration of rail transit[J]. Guangzhou Environmental Science, 2018, 33(2): 14-19. (in Chinese).
    [6]
    ZHOU Peng, SONG Lu, LIU Lei, et al. Main problems of self-assessment of environmental impact by urban rail transit project builders[J]. Urban Rapid Rail Transit, 2019, 32(6): 1-5, 9. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DSKG201906005.htm
    [7]
    LIU Wei-ning, MA Meng, WANG Wen-bin. Prediction method for subway train-induced environmental vibration responses[J]. China Railway Science, 2013, 34(4): 110-117. (in Chinese). doi: 10.3969/j.issn.1001-4632.2013.04.19
    [8]
    LIU Wei-ning, MA Meng, LIU Wei-feng, et al. Overview on current research of environmental vibration influence induced by urban mass transit in China[J]. Scientia Sinica: Technologica, 2016, 46(6): 547-559. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201606001.htm
    [9]
    HANSON C E, TOWERS D A, MEISTER L D. Transit noise and vibration impact assessment[R]. Washington DC: U. S. Department of Transportation, 2006.
    [10]
    WANG Ling-di, ZHANG Bin, HU Wen-cheng, et al. Application of FTA prediction method on metro-induced environment vibration[J]. Urban Mass Transit, 2013(1): 91-96. (in Chinese). doi: 10.3969/j.issn.1007-869X.2013.01.023
    [11]
    SADEGHI J, ESMAEILI M H, AKBARI M. Reliability of FTA general vibration assessment model in prediction of subway induced ground borne vibrations[J]. Soil Dynamics and Earthquake Engineering, 2019, 117: 300-311. doi: 10.1016/j.soildyn.2018.11.002
    [12]
    PANEIRO G, DURÃO F O, COSTA E SILVA M, et al. Prediction of ground vibration amplitudes due to urban railway traffic using quantitative and qualitative field data[J]. Transportation Research Part D: Transport and Environment, 2015, 40: 1-13. doi: 10.1016/j.trd.2015.07.006
    [13]
    CONNOLLY D P, KOUROUSSIS G, GIANNOPOULOS A, et al. Assessment of railway vibrations using an efficient scoping model[J]. Soil Dynamics and Earthquake Engineering, 2014, 58: 37-47. doi: 10.1016/j.soildyn.2013.12.003
    [14]
    CONNOLLY D P, KOUROUSSIS G, WOODWARD P K, et al. Scoping prediction of re-radiated ground-borne noise and vibration near high speed rail lines with variable soils[J]. Soil Dynamics and Earthquake Engineering, 2014, 66: 78-88. doi: 10.1016/j.soildyn.2014.06.021
    [15]
    CHEN Y J, CHEN C J, SHEN Y J. Development of automatic prediction model for ground vibration using support vector machine[J]. Journal of Vibroengineering, 2015, 17(5): 2535-2546.
    [16]
    YAO Jin-bao, XIA He, ZHANG Nan, et al. Prediction on building vibration induced by moving train based on support vector machine and wavelet analysis[J]. Journal of Mechanical Science and Technology, 2014, 28(6): 2065-2074. doi: 10.1007/s12206-014-0501-z
    [17]
    PANEIRO G, DURÃO F O, COSTA E SILVA M, et al. Artificial neural network model for ground vibration amplitudes prediction due to light railway traffic in urban areas[J]. Neural Computing and Applications, 2018, 29: 1045-1057. doi: 10.1007/s00521-016-2625-9
    [18]
    FANG Lei, YAO Jin-bao, XIA He. Prediction on soil-ground vibration induced by high-speed moving train based on artificial neural network model[J]. Advances in Mechanical Engineering, 2019, 11(5): 1-10.
    [19]
    WU Zong-zhen, LIU Wei-ning, MA Long-xiang, et al. Frequency domain analytical method for predicting metro environment vibration based on soil frequency response function[J]. China Railway Science, 2014, 35(5): 105-112. (in Chinese). doi: 10.3969/j.issn.1001-4632.2014.05.15
    [20]
    WU Zong-zhen, LIU Wei-ning, MA Long-xiang, et al. Analytical prediction model of ground vibration response induced by metro floating-type track[J]. Journal of Vibration and Shock, 2014, 33(17): 132-137. (in Chinese).
    [21]
    GALVÍN P, MENDOZA D L, CONNOLLY D P, et al. Scoping assessment of free-field vibrations due to railway traffic[J]. Soil Dynamics and Earthquake Engineering, 2018, 114: 598-614. doi: 10.1016/j.soildyn.2018.07.046
    [22]
    WANG Li-dong, ZHU Zhi-hui, BAI Yu, et al. A fast random method for three-dimensional analysis of train-track-soil dynamic interaction[J]. Soil Dynamics and Earthquake Engineering, 2018, 115: 252-262. doi: 10.1016/j.soildyn.2018.08.021
    [23]
    FRANÇOIS S, SCHEVENELS M, GALVÍN P, et al. A 2.5D coupled FE-BE methodology for the dynamic interaction between longitudinally invariant structures and a layered halfspace[J]. Computer Methods in Applied Mechanics and Engineering, 2010, 199(23/24): 1536-1548.
    [24]
    DEGRANDE G, CLOUTEAU D, OTHMAN R, et al. A numerical model for ground-borne vibrations from underground railway traffic based on a periodic finite element-boundary element formulation[J]. Journal of Sound and Vibration, 2006, 293(3/4/5): 645-666.
    [25]
    XU Qing-yuan, XIAO Zu-cai, LIU Tao, et al. Comparison of 2D and 3D prediction models for environmental vibration induced by underground railway with two types of tracks[J]. Computers and Geotechnics, 2015, 68: 169-183. doi: 10.1016/j.compgeo.2015.04.011
    [26]
    YANG Jian-jin, ZHU Sheng-yang, ZHAI Wan-ming, et al. Prediction and mitigation of train-induced vibrations of large-scale building constructed on subway tunnel[J]. Science of the Total Environment, 2019, 668: 485-499. doi: 10.1016/j.scitotenv.2019.02.397
    [27]
    XIE Wei-ping, LAN Yang. Ground vibration induced by subway train load using 2.5D finite element method[J]. Journal of Wuhan University of Technology, 2009, 31(13): 78-82. (in Chinese). doi: 10.3963/j.issn.1671-4431.2009.13.021
    [28]
    YUAN Zong-hao, CAI Yuan-qiang, ZENG Chen. Dynamic response of track system and underground railway tunnel in saturated soil subjected to moving train loads[J]. Chinese Journal of Rock Mechanics and Engineering, 2015, 34(7): 1470-1479. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201507020.htm
    [29]
    GALVÍN P, ROMERO A, DOMÍNGUEZ J. Fully three-dimensional analysis of high-speed train-track-soil-structure dynamic interaction[J]. Journal of Sound and Vibration, 2010, 329(24): 5147-5163. doi: 10.1016/j.jsv.2010.06.016
    [30]
    SHENG X, JONES C J C, THOMPSON D J. Prediction of ground vibration from trains using the wavenumber finite and boundary element methods[J]. Journal of Sound and Vibration, 2006, 293(3/4/5): 575-586.
    [31]
    FENG Qing-song, LEI Xiao-yan. Railway ground vibration with track random irregularities based on 2.5D finite element-boundary element method[J]. Journal of Vibration and Shock, 2013, 32(23): 13-19. (in Chinese). doi: 10.3969/j.issn.1000-3835.2013.23.003
    [32]
    JIN Qi-yun, THOMPSON D J, LURCOCK D E J, et al. A 2.5D finite element and boundary element model for the ground vibration from trains in tunnels and validation using measurement data[J]. Journal of Sound and Vibration, 2018, 422: 373-389. doi: 10.1016/j.jsv.2018.02.019
    [33]
    HE Chao, ZHOU Shun-hua, GUO Pei-jun, et al. Modelling of ground vibration from tunnels in a poroelastic half-space using a 2.5-D FE-BE formulation[J]. Tunnelling and Underground Space Technology, 2018, 82: 211-221. doi: 10.1016/j.tust.2018.08.043
    [34]
    GUPTA S. A numerical model for predicting vibrations from underground railways[D]. Leuven: Catholic University of Leuven, 2008.
    [35]
    LIU Wei-feng, LIU Wei-ning, GUPTA S, et al. A coupled periodic finite element-boundary element model for prediction of vibrations induced by metro traffic[J]. Journal of Vibration Engineering, 2009, 22(5): 480-485. (in Chinese). doi: 10.3969/j.issn.1004-4523.2009.05.007
    [36]
    GERMONPRÉ M, DEGRANDE G, LOMBAERT G. Periodic track model for the prediction of railway induced vibration due to parametric excitation[J]. Transportation Geotechnics, 2018, 17: 98-108. doi: 10.1016/j.trgeo.2018.09.015
    [37]
    CAO Yan-mei, WANG Fu-xing, ZHANG Yun-shi. Analysis method and vibration characteristics of field vibrations induced by high-speed trains[J]. Journal of the China Railway Society, 2017, 39(6): 118-124. (in Chinese). doi: 10.3969/j.issn.1001-8360.2017.06.016
    [38]
    CUI Gao-hang, OUYANG Hao-ran, TAO Xia-xin. Semi-analytical finite element method for ground environment vibration responses along urban rail[J]. Journal of Vibration and Shock, 2019, 38(15): 109-114. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201915016.htm
    [39]
    ALVES COSTA P, CALCADA R, CARDOSO A S, et al. Influence of soil non-linearity on the dynamic response of high-speed railway tracks[J]. Soil Dynamics and Earthquake Engineering, 2010, 30(4): 221-235. doi: 10.1016/j.soildyn.2009.11.002
    [40]
    YANG Y B, LIANG Xu-jie, HUNG H H, et al. Comparative study of 2D and 2.5D responses of long underground tunnels to moving train loads[J]. Soil Dynamics and Earthquake Engineering, 2017, 97: 86-100. doi: 10.1016/j.soildyn.2017.02.005
    [41]
    MA Long-xiang. Study on the model of coupled vehicle and track and the analysis model for tunnel-ground vibration response based on the periodic-infinite structure theory[D]. Beijing: Beijing Jiaotong University, 2015. (in Chinese).
    [42]
    MA Long-xiang, LIU Wei-ning, LIU Wei-feng, et al. Sliced finite element-infinite element coupling model for predicting environmental vibration induced by metro train[J]. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(10): 2131-2141. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201610020.htm
    [43]
    AMADO-MENDES P, ALVES COSTA P, GODINHO L M C, et al. 2.5D MFS-FEM model for the prediction of vibrations due to underground railway traffic[J]. Engineering Structures, 2015, 104(1): 141-154.
    [44]
    ZHU Zhi-hui, WANG Li-dong, ALVES COSTA P, et al. An efficient approach for prediction of subway train-induced ground vibrations considering random track unevenness[J]. Journal of Sound and Vibration, 2019, 455: 359-379. doi: 10.1016/j.jsv.2019.05.031
    [45]
    CHENG Gong, FENG Qing-song, SHENG Xiao-zhen, et al. Using the 2.5D FE and transfer matrix methods to study ground vibration generated by two identical trains passing each other[J]. Soil Dynamics and Earthquake Engineering, 2018, 114: 495-504. doi: 10.1016/j.soildyn.2018.06.025
    [46]
    MA Long-xiang, OUYANG Hua-jiang, SUN Chang, et al. A curved 2.5D model for simulating dynamic responses of coupled track-tunnel-soil system in curved section due to moving loads[J]. Journal of Sound and Vibration, 2019, 451: 1-31. doi: 10.1016/j.jsv.2019.02.044
    [47]
    LI Chang. Research on propagation rules of ground-borne vibration caused by subway trains in a curved tunnel[D]. Beijing: Beijing Jiaotong University, 2019. (in Chinese).
    [48]
    HUSSEIN M F M, HUNT H E M. A numerical model for calculating vibration from a railway tunnel embedded in a full-space[J]. Journal of Sound and Vibration, 2007, 305(3): 401-431. doi: 10.1016/j.jsv.2007.03.068
    [49]
    JIANG Tong, CHENG Chang-shu. Environmental vibration induced by elevated railway traffic using thin-layer method[J]. Journal of Vibration Engineering, 2007, 20(6): 623-628. (in Chinese). doi: 10.3969/j.issn.1004-4523.2007.06.013
    [50]
    HUSSEIN M F M, FRANÇOIS S, SCHEVENELS M, et al. The fictitious force method for efficient calculation of vibration from a tunnel embedded in a multi-layered half-space[J]. Journal of Sound and Vibration, 2014, 333(25): 6996-7018. doi: 10.1016/j.jsv.2014.07.020
    [51]
    KUO K A, HUNT H E M, HUSSEIN M F M. The effect of a twin tunnel on the propagation of ground-borne vibration from an underground railway[J]. Journal of Sound and Vibration, 2011, 330(25): 6203-6222. doi: 10.1016/j.jsv.2011.07.035
    [52]
    JONES S, HUNT H E M. Predicting surface vibration from underground railways through inhomogeneous soil[J]. Journal of Sound and Vibration, 2012, 331(9): 2055-2069. doi: 10.1016/j.jsv.2011.12.032
    [53]
    ZHOU Shun-hua, ZHANG Xiao-hui, DI Hong-gui, et al. Metro train-track-tunnel-soil vertical dynamic interactions-semi-analytical approach[J]. Vehicle System Dynamics, 2018, 56(12): 1945-1968. doi: 10.1080/00423114.2018.1444182
    [54]
    ZHOU Shun-hua, HE Chao, GUO Pei-jun, et al. Three-dimensional analytical model for coupled track-tunnel-soil system in a multilayered half-space[J]. Journal of Engineering Mechanics, 2020, 146(2): 4019121. doi: 10.1061/(ASCE)EM.1943-7889.0001709
    [55]
    YUAN Zong-hao, CAO Zhi-gang, BOSTRÖM A, et al. The influence of pore-fluid in the soil on ground vibrations from a tunnel embedded in a layered half-space[J]. Journal of Sound and Vibration, 2018, 419: 227-248. doi: 10.1016/j.jsv.2018.01.003
    [56]
    YUAN Zong-hao, BOSTRÖM A, CAI Yuan-qiang, et al. The wave function method for calculation of vibrations from a twin tunnel in a multi-layered half-space[J]. Soil Dynamics and Earthquake Engineering, 2019, 125: 105716. doi: 10.1016/j.soildyn.2019.105716
    [57]
    MA Li-heng, LIANG Qing-huai, GU Ai-jun, et al. Research on impact of Shanghai-Nanjing Intercity High-Speed Railway induced vibration on ambient environment and foundation settlement of adjacent Beijing-Shanghai Railway[J]. Journal of the China Railway Society, 2015, 37(2): 98-105. (in Chinese). doi: 10.3969/j.issn.1001-8360.2015.02.015
    [58]
    QU Xiang-yu, MA Meng, LI Ming-hang, et al. Analysis of the vibration mitigation characteristics of the ballasted ladder track with elastic elements[J]. Sustainability, 2019, 11(23): 6780. doi: 10.3390/su11236780
    [59]
    LI Lin-feng, MA Meng, LIU Wei-ning, et al. Analysis for the vibration reduction characteristics of steel spring floating slab tracks under different types of excitation[J]. Engineering Mechanics, 2018, 35(S1): 253-258. (in Chinese). doi: 10.6052/j.issn.1000-4750.2017.05.S048
    [60]
    QIN Chong. Study on the influence of excitation modes on the evaluation of vibration mitigation performance of floating slab track in metro[D]. Beijing: Beijing Jiaotong University, 2019. (in Chinese).
    [61]
    LIU Wei-ning, DU Lin-lin, LIU Wei-feng. Study on characteristics of vibration sources of metro trains running in a curved track[J]. Journal of the China Railway Society, 2019, 41(7): 26-33. (in Chinese). doi: 10.3969/j.issn.1001-8360.2019.07.004
    [62]
    DU Lin-lin. Study on the theoretical model of coupled vehicle and track and the characteristics of vibration sources in a curved track[D]. Beijing: Beijing Jiaotong University, 2018. (in Chinese).
    [63]
    FENG Qing-song, CHENG Gong, LEI Xiao-yan, et al. Influences of ballasted track and slab ballastless track structures on ground vibration of high speed railway[J]. Journal of Vibration and Shock, 2015, 34(24): 153-159. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201524025.htm
    [64]
    MA Kui-kui, LI Bin, WANG Dong, et al. Experimental study and numerical analysis on ground vibration characteristics of subgrades section of Baoji-Lanzhou High-Speed Railway[J]. Journal of Railway Science and Engineering, 2019, 16(2): 294-301. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CSTD201902003.htm
    [65]
    MA Long-xiang, ZHAO Rui-tong, GAN Yu-hang, et al. Effects of train type and formation on metro operation induced environmental vibration[J]. Journal of Vibration and Shock, 2019, 38(11): 24-30. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201911005.htm
    [66]
    SHI Wen-bo, MIAO Lin-chang, CHEN Yi-nan, et al. Vibration responses of subway with different depths of Nanjing soft soil[J]. China Civil Engineering Journal, 2015, 48(S2): 30-35. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC2015S2006.htm
    [67]
    XU Qing-yuan, OU Xi, AU F T K, et al. Effects of track irregularities on environmental vibration caused by underground railway[J]. European Journal of Mechanics—A/Solids, 2016, 59: 280-293. doi: 10.1016/j.euromechsol.2016.04.005
    [68]
    LOPES P, RUIZ J F, COSTA P A, et al. Vibrations inside buildings due to subway railway traffic. Experimental validation of a comprehensive prediction model[J]. Science of the Total Environment, 2016, 568: 1333-1343. doi: 10.1016/j.scitotenv.2015.11.016
    [69]
    WANG Ping, YANG Fan, WEI Kai. Symplectic model and its application of vertical environment vibration prediction about vehicle-track-tunnel coupled system[J]. Engineering Mechanics, 2017, 34(5): 171-178. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201705019.htm
    [70]
    MA Meng, LIU Wei-ning, QIAN Chun-yu, et al. Study of the train-induced vibration impact on a historic bell tower above two spatially overlapping metro lines[J]. Soil Dynamics and Earthquake Engineering, 2016, 81: 58-74. doi: 10.1016/j.soildyn.2015.11.007
    [71]
    WU Yu-bin, SONG Rui-xiang, WU Ya-nan, et al. Study on numerical prediction method for building vibration response caused by the subway train[J]. Journal of Railway Science and Engineering, 2018, 15(11): 2939-2946. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CSTD201811026.htm
    [72]
    FENG Qing-song, WANG Zi-yu, ZHANG Xu-xiang. Application for dynamic sub-structuring method in the analysis of building vibration caused by metro train[J]. Noise and Vibration Control, 2017, 37(5): 136-141. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZSZK201705031.htm
    [73]
    FENG Qing-song, WANG Zi-yu, LIU Quan-min, et al. Vibration characteristics of metro depot upper building under double vibration source excitation[J]. Journal of Traffic and Transportation Engineering, 2019, 19(4): 59-69. (in Chinese). http://transport.chd.edu.cn/article/id/201904006
    [74]
    HUSSEIN M, HUNT H E M, KUO K A. The use of sub-modelling technique to calculate vibration in buildings from underground railways[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2015, 229(3): 303-314.
    [75]
    YAO Jin-bao, XIA He, ZHANG Nan. Numerical analysis on building and soil vibrations induced by moving trains considering dynamic soil-structure interaction[J]. Journal of the China Railway Society, 2014, 36(4): 93-98. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TDXB201404020.htm
    [76]
    KUO K A, PAPADOPOULOS M, LOMBAERT G, et al. The coupling loss of a building subject to railway induced vibrations: numerical modelling and experimental measurements[J]. Journal of Sound and Vibration, 2019, 442: 459-481.
    [77]
    JIANG Tong, LI Li-qin, LIU Feng. Analysis and prediction of train-induced floor vibration in adjacent buildings[J]. Structural Engineers, 2012, 28(6): 29-33. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JGGC201206007.htm
    [78]
    SANAYEI M, ZHAO Ning-yu, MAURYA P. Prediction and mitigation of building floor vibrations using a blocking floor[J]. Journal of Structural Engineering, 2012, 138(10): 1181-1192.
    [79]
    ZOU Chao, MOORE J A, SANAYEI M, et al. Impedance model for estimating train-induced building vibrations[J]. Engineering Structures, 2018, 172: 739-750.
    [80]
    CLOT A, ARCOS R, ROMEU J. Efficient three-dimensional building-soil model for the prediction of ground-borne vibrations in buildings[J]. Journal of Structural Engineering, 2017, 143(9): 4017098.
    [81]
    ASAKURA T, ISHIZUKA T, MIYAJIMA T, et al. Finite-difference time-domain analysis of the vibration characteristics of a beam-plate structure using a dimension-reduced model[J]. Applied Acoustics, 2015, 92: 75-85.
    [82]
    ASAKURA T, TOYODA M, MIYAJIMA T. Numerical and experimental investigation on structure-borne sound transmission in multilayered concrete structures[J]. Journal of Sound and Vibration, 2018, 413: 1-25.
    [83]
    WEI Kai, YANG Fan, WANG Ping, et al. Influence of frequency-dependent stiffness of rail pads on environment vibration induced by subway in tunnel[J]. Journal of the China Railway Society, 2015, 37(4): 80-86. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TDXB201504015.htm
    [84]
    WEI Kai, YANG Fan, WANG Ping, et al. Effect of frequency-dependent damping of rail pad on environment vibration of subway tunnel[J]. China Railway Science, 2015, 36(3): 17-23. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTK201503004.htm
    [85]
    DOS SANTOS N C, COLAÇO A, ALVES COSTA P, et al. Experimental analysis of track-ground vibrations on a stretch of the Portuguese railway network[J]. Soil Dynamics and Earthquake Engineering, 2016, 90: 358-380.
    [86]
    SUN Xiao-jing, YUAN Yang, MA Meng, et al. Prediction of metro train-induced low frequency vibration responses in far field[J]. Journal of Vibration and Shock, 2017, 36(4): 198-202. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201704031.htm
    [87]
    ZHANG Yun-shi. Study on propagation laws of the vibration in soil and prediction method for buildings induced by traffic loads[D]. Beijing: Beijing Jiaotong University, 2019. (in Chinese).
    [88]
    ZHANG Yun-shi, ZHANG Nan, CAO Yan-mei, et al. A prediction model and its validation of railway-induced building vibrations[J]. Advances in Mechanical Engineering, 2016, 8(10): 1-10.
    [89]
    MA Meng, LIU Wei-ning, DING De-yun, et al. Prediction of influence of metro trains induced vibrations on sensitive instruments[J]. Journal of Vibration and Shock, 2011, 30(3): 185-190. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201308005.htm
    [90]
    WU Zong-zhen. Transfer function prediction methods for environmental influence of metro train-induced vibrations[D]. Beijing: Beijing Jiaotong University, 2016. (in Chinese).
    [91]
    LIU Wei-ning, CHEN Jia-liang, WU Zong-zhen, et al. Prediction method of measured deep-hole excitation transfer function for environmental influence of metro train-induced vibration[J]. China Civil Engineering Journal, 2017, 50(9): 82-89. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201709008.htm
    [92]
    JAQUET T, SALCEDO V. Ensuring acceptable vibration levels in listed buildings by means of precise vibration measurements and highly-efficient floating slab track[C]//AREMA. 2012 Annual Conference and Exposition. Chicago: AREMA, 2012: 1-11.
    [93]
    WANG Wen-bin, LIU Wei-ning, SUN Ning, et al. The prediction method of metro trains induced vibration inside adjacent buildings based on pulse excitation[J]. China Railway Science, 2012, 33(4): 139-144. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTK201204026.htm
    [94]
    ZHANG N, XIA H, YANG W G, et al. Prediction and control of building vibration under metro excitations[C]//EURODYN. Proceedings of the 8th International Conference on Structural Dynamics. Leuven: EURODYN, 2011: 705-711.
    [95]
    VERBRAKEN H, LOMBAERT G, DEGRANDE G. Verification of an empirical prediction method for railway induced vibrations by means of numerical simulations[J]. Journal of Sound and Vibration, 2011, 330(8): 1692-1703.
    [96]
    VERBRAKEN H. Prediction of railway induced vibration by means of numerical, empirical, and hybrid methods[D]. Leuven: University of Southampton, 2013.
    [97]
    KUO K A, VERBRAKEN H, DEGRANDE G, et al. Hybrid predictions of railway induced ground vibration using a combination of experimental measurements and numerical modelling[J]. Journal of Sound and Vibration, 2016, 373: 263-284.
    [98]
    KUO K A, LOMBAERT G, DEGRANDE G. Quantifying dynamic soil-structure interaction for railway induced vibrations[J]. Procedia Engineering, 2017, 199: 2372-2377.
    [99]
    KOUROUSSIS G, VOGIATZIS K E, CONNOLLY D P. Assessment of railway ground vibration in urban area using in-situ transfer mobilities and simulated vehicle-track interaction[J]. International Journal of Rail Transportation, 2018, 6(2): 1-18.
    [100]
    KUPPELWIESER H, ZIEGLER A. A tool for predicting vibration and structure-borne noise immissions caused by railways[J]. Journal of Sound and Vibration, 1996, 193(1): 261-267.
    [101]
    DE WIT M S, GALANTI F M B. Reliability of vibration prediction—synthesis of prediction and measurements[R]. Delft: Delft Cluster—Publication, 2003.
    [102]
    HÖLSCHER P, WAARTS P H. Reliability of vibration predictions and reducing measures[R]. Delft: Delft Cluster—Publication, 2003.
    [103]
    VILLOT M, GUIGOU C, JEAN P, et al. Definition of appropriate procedures to predict exposure in buildings and estimate annoyance[R]. Köln: RIAVS, 2012.
    [104]
    GJELSTRUP H, ALCOVER I F, ANDERSEN J E, et al. Probabilistic empirical model for train-induced vibrations[J]. Proceedings of the Institution of Civil Engineers, 2015, 169(8): 563-573.
    [105]
    LOMBAERT G, GALVÍN P, FRANÇOIS S, et al. Quantification of uncertainty in the prediction of railway induced ground vibration due to the use of statistical track unevenness data[J]. Journal of Sound and Vibration, 2014, 333(18): 4232-4253.
    [106]
    PANEIRO G, DURÃO F O, COSTA E SILVA M, et al. Prediction of ground vibration amplitudes due to urban railway traffic using quantitative and qualitative field data[J]. Transportation Research Part D: Transportand Environment, 2015, 40: 1-13.
    [107]
    LI Xian-tong, ZHANG Bin, HU Wen-cheng, et al. Selection of vibration source position in environment vibration forecast of Beijing metro[J]. Urban Mass Transit, 2012(8): 80-83, 89. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GDJT201208024.htm
    [108]
    WANG Ling-di, ZHANG Bin, HU Wen-cheng, et al. Prediction model for metro-induced environment vibration in Beijing[J]. Urban Mass Transit, 2013(6): 101-106. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GDJT201306025.htm
    [109] 张衡, 孟磊, 安小诗, 等. 北京地铁10号线钢轨波磨段打磨前后减振效果分析[C]//中国土木工程学会. 2013中国城市轨道交通关键技术论坛文集. 北京: 中国科学技术出版社, 2013: 328-333. ZHANG Heng, MENG Lei, AN Xiao-shi, et al. Vibration mitigation effect analysis of rail corrugation section before and after grinding of Beijing Metro Line 10[C]//China Civil Engineering Society. Proceedings of Key Technologies of China Urban Mass Transit 2013. Beijing: Science and Technology of China Press, 2013: 328-333. (in Chinese).
    [110]
    LOMBAERT G, DEGRANDE G, KOGUT J, et al. The experimental validation of a numerical model for the prediction of railway induced vibrations[J]. Journal of Sound and Vibration, 2006, 297(3/4/5): 512-535.
    [111]
    SCHEVENELS M. The impact of uncertain dynamic soil characteristics on the prediction of ground vibrations[D]. Leuven: Katholieke Universiteit Leuven, 2007.
    [112]
    PAPADOPOULOS M, FRANÇOIS S, DEGRANDE G, et al. The influence of uncertain local subsoil conditions on the response of buildings to ground vibration[J]. Journal of Sound and Vibration, 2018, 418: 200-220.
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (2192) PDF downloads(1018) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return