Volume 22 Issue 1
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GOU Hong-ye, LIU Chang, BAN Xin-lin, MENG Xin, PU Qian-hui. Research progress of detection, monitoring and running safety of bridge-track system for high-speed railway[J]. Journal of Traffic and Transportation Engineering, 2022, 22(1): 1-23. doi: 10.19818/j.cnki.1671-1637.2022.01.001
Citation: GOU Hong-ye, LIU Chang, BAN Xin-lin, MENG Xin, PU Qian-hui. Research progress of detection, monitoring and running safety of bridge-track system for high-speed railway[J]. Journal of Traffic and Transportation Engineering, 2022, 22(1): 1-23. doi: 10.19818/j.cnki.1671-1637.2022.01.001
shu

Research progress of detection, monitoring and running safety of bridge-track system for high-speed railway

doi: 10.19818/j.cnki.1671-1637.2022.01.001
  • 1.

    School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

  • 2.

    Key Laboratory of High-Speed Railway Engineering of Ministry of Education, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

  • 3.

    China Academy of Railway Sciences Co., Ltd., Beijing 100081, China

Funds:

National Natural Science Foundation of China 52172374

National Natural Science Foundation of China 51878563

Sichuan Outstanding Youth Science and Technology Talent Project 2022JDJQ0016

Project of Science and Technology of China Academy of Railway Sciences Co., Ltd. 2021YJ058

More Information
  • Author Bio:

    GOU Hong-ye(1983-), female, professor, PhD, gouhongye@swjtu.edu.cn

  • Received Date: 2021-10-10
  • Publish Date: 2022-02-25
    Abstract
  • To promote the safety performance of bridge-track structure and ensure the structural adaptability and running safety of high-speed railway under complex environmental conditions, the improvement and optimization of detection and monitoring equipment of bridge-track system for high-speed railway were introduced, the dynamic evolution rule of bridge-track structure service performance was analyzed, the evaluation and prediction methods of the running safety of high-speed train under complex conditions were summarized, and the future research priorities and directions were prospected. Research results show that in the detection and monitoring technology research of bridge-track system, existing research focuses on the optimization of traditional detection and monitoring equipment and the deep integration of intelligent technology and damage identification method. The core objective is to improve the efficiency, accuracy and standardization of detection and monitoring of bridge-track structure, and realize the accurate evaluation of infrastructure service status. In the research of bridge-track spatial deformation mapping relationship, considering infrastructure interaction deformation mapping model can accurately describe the change trend, development and spectral characteristics of the track geometry caused by the evolution of the interface state between the structural layers, but lack of in-depth study of high-speed railway bridge-track collaborative design and deformation intelligent control device. The study of structural service performance evolution is mostly based on the idealized elastoplastic constitutive model, and the study of service performance degradation behavior is limited to specific service environment. The research on the traffic safety of high-speed railway bridges under long-term service conditions based on train-track-bridge dynamic interaction theory is being carried out step by step, and the traffic safety evaluation criteria based on different index systems are proposed. Making full use of the monitoring data of bridge-track system, strengthening the research on the performance evolution mechanism and damage failure mechanism of bridge-track structure in complex environment, and proposing new intelligent evaluation and prediction methods for the running safety of high-speed train with high portability under the condition of updated information are the research directions of future focus. 1 tab, 8 figs, 171 refs.

     

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    • References(171)
  • [1]
    GOU Hong-ye. Bridge-Track Deformation Mapping and Traffic Safety of High-Speed Railway[M]. Beijing: Science Press, 2020. (in Chinese)
    [2]
    ZHAI Wan-ming, ZHAO Chun-fa, XIA He, et al. Basic scientific issues on dynamic performance evolution of the high-speed railway infrastructure and its service safety[J]. Scientia Sinica(Technologica), 2014, 44(7): 645-660. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201407002.htm
    [3]
    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
    [4]
    JIANG Li-zhong, ZHOU Wang-bao, WEI Biao, et al. Research progress of train-track-bridge system safety of high-speed railway under earthquake action[J]. China Civil Engineering Journal, 2020, 53(9): 1-13. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC202009001.htm
    [5]
    LI Yong-le, XIANG Huo-yue, QIANG Shi-zhong. Review on coupling vibration of wind-vehicle-bridge systems[J]. China Journal of Highway and Transport, 2018, 31(7): 24-37. (in Chinese) doi: 10.3969/j.issn.1001-7372.2018.07.002
    [6]
    LI Xiao-zhen, XIN Li-feng, WANG Ming, et al. State-of-the-art review of vehicle-bridge interactions in 2019[J]. Journal of Civil and Environmental Engineering, 2020, 42(5): 126-138. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JIAN202005012.htm
    [7]
    ZHONG Ji-wei, WANG Bo, WANG Xiang, et al. Research of bridge intelligent inspection technology and application[J]. Bridge Construction, 2019, 49(S1): 1-6. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QLJS2019S1001.htm
    [8]
    ZHAN Jia-wang, YAN Yu-zhi, QIANG Wei-liang, et al. Damage identification method for railway pier based on frequency response function similarity[J]. China Railway Science, 2018, 39(2): 37-43. (in Chinese) doi: 10.3969/j.issn.1001-4632.2018.02.05
    [9]
    YAN Yu-zhi, ZHAN Jia-wang, ZHANG Nan, et al. Study of methods to identify bridge bearing disengagement based on vehicle-excited responses[J]. Bridge Construction, 2020, 50(2): 19-24. (in Chinese) doi: 10.3969/j.issn.1003-4722.2020.02.004
    [10]
    JIANG Hui-zeng. Railway bridge crack detection technology based on digital image processing[J]. Railway Engineering, 2016, 56(5): 82-86. (in Chinese) doi: 10.3969/j.issn.1003-1995.2016.05.18
    [11]
    YANG Jie-wen, ZHANG Guang, CHEN Xi-jiang, et al. Research on bridge crack detection based on deep learning under complex background[J]. Journal of Railway Science and Engineering, 2020, 17(11): 2722-2728. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSTD202011002.htm
    [12]
    LI Liang-fu, MA Wei-fei, LI Li, et al. Research on detection algorithm for bridge cracks based on deep learning[J]. Acta Automatica Sinica, 2019, 45(9): 1727-1742. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-MOTO201909010.htm
    [13]
    ZHANG Jing-jing, NIE Hong-yu, YU Qiang. Bridge crack detection based on percolation model with multi-scale input image[J]. Computer Engineering, 2017, 43(2): 273-279. (in Chinese) doi: 10.3969/j.issn.1000-3428.2017.02.046
    [14]
    ZHAO Xin-xin, QIAN Sheng-sheng, LIU Xiao-guang. Image identification method for high-strength bolt missing on railway bridge based on convolution neural network[J]. China Railway Science, 2018, 39(4): 56-62. (in Chinese) doi: 10.3969/j.issn.1001-4632.2018.04.09
    [15]
    LIU Xiao-yang, SUN Guang-tong, LI feng, et al. Verification of operational performance for simply supported box girder in high speed railway based on GB-SAR[J]. China Railway Science, 2020, 41(1): 50-56. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTK202001008.htm
    [16]
    WANG Xiang, WANG Zheng-xing. Research on the radar non-contact testing technology of high-speed railway bridges[J]. Journal of Railway Engineering Society, 2020, 37(1): 50-54, 84. (in Chinese) doi: 10.3969/j.issn.1006-2106.2020.01.009
    [17]
    SHI Kang, HE Xu-hui, ZOU Yun-feng, et al. Research and development of health monitoring system for long-span bridges of high-speed railways[J]. Journal of Railway Science and Engineering, 2015, 12(4): 737-742. (in Chinese) doi: 10.3969/j.issn.1672-7029.2015.04.004
    [18]
    ZHAO Wei-gang, WANG Xin-min, DU Yan-liang, et al. Distributed running state monitoring and pre-warning of common span railway bridges[J]. Journal of Shanghai Jiaotong University, 2015, 49(7): 1046-1051. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SHJT201507023.htm
    [19]
    GU Jin-shen. General design of health monitoring system for the Yellow River Bridge of Shijiazhuang-Jinan passenger dedicated line[J]. Journal of Railway Engineering Society, 2019, 36(4): 54-59. (in Chinese) doi: 10.3969/j.issn.1006-2106.2019.04.011
    [20]
    YANG Huai-zhi. Elementary discussion on application of PHM system for maintenance and repair in large bridges of high speed railway[J]. Railway Engineering, 2017, 57(6): 12-16, 35. (in Chinese) doi: 10.3969/j.issn.1003-1995.2017.06.03
    [21]
    LIU Ye, VOIGT T, WIRSTRÖM N, et al. ECOVIBE: on-demand sensing for railway bridge structural health monitoring[J]. IEEE Internet of Things Journal, 2019, 6(1): 1068-1078. doi: 10.1109/JIOT.2018.2867086
    [22]
    ZHAO You-ming. Detection technology of service state of high speed railway infrastructure[J]. Railway Engineering, 2015, 55(10): 1-6. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDJZ201510001.htm
    [23]
    WANG Xiang, WANG Bo, WANG Zheng-xing. Research on the long-term monitoring technology of subgrade settlement for high-speed railway in operation period[J]. Journal of Railway Engineering Society, 2017, 34(5): 11-14, 64. (in Chinese) doi: 10.3969/j.issn.1006-2106.2017.05.003
    [24]
    ZHUO Yi, WANG Xu, ZHANG Jun. Development and application of automatic monitoring system SMAIS for settlement of high-speed railway[J]. Journal of Railway Engineering Society, 2015, 32(4): 10-15. (in Chinese) doi: 10.3969/j.issn.1006-2106.2015.04.003
    [25]
    WANG Shao-jie, XU Zhao-dong, LI Shu, et al. Identification of differential settlement of piers for multi-span railway simply supported girder bridges based on track strain monitoring[J]. Journal of the China Railway Society, 2016, 38(3): 106-110. (in Chinese) doi: 10.3969/j.issn.1001-8360.2016.03.015
    [26]
    YAO Dong, CHEN Dong-sheng, TAO Kai, et al. Discussions on comprehensive inspection and monitoring technologies for railway infrastructures[J]. Railway Standard Design, 2020, 64(3): 42-48. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDBS202003008.htm
    [27]
    MEN Ping, DONG Shi-yun, LU Chao, et al. Research on low-frequency acoustic surface wave propagation mode in rail treads[J]. Chinese Journal of Scientific Instrument, 2018, 39(3): 13-20. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201803002.htm
    [28]
    JIA Zhong-qing, ZHANG Zhen-zhen, JI Guang-rong. Application on the rail detection using laser-induced breakdown spectroscopy and laser ultrasonic technology[J]. Periodical of Ocean University of China, 2019, 49(8): 142-146. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QDHY201908018.htm
    [29]
    NAN Gang-yang, WANG Qi-wu, ZHANG Zhen-zhen, et al. Rail steel flaw inspection based on laser ultrasonic method[J]. Infrared and Laser Engineering, 2017, 46(1): 140-145. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ201701021.htm
    [30]
    LIU Ze, LI Wen, XUE Fang-qi, et al. Electromagnetic tomography rail defect inspection[J]. IEEE Transactions on Magnetics, 2015, 51(10): 1-7.
    [31]
    XIA Yin, LIN Jian-hui, WANG Feng, et al. Study on dynamic detection system of rail cant based on 2D laser displacement sensor[J]. Railway Standard Design, 2019, 63(4): 63-68. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDBS201904012.htm
    [32]
    SUN Ming-jian, CHENG Xing-zhen, WANG Yan, et al. Method for detecting high-speed rail surface defects by photoacoustic signal[J]. Acta Physica Sinica, 2016, 65(3): 351-360. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201603042.htm
    [33]
    ZHANG Hui, SONG Ya-nan, WANG Yao-nan, et al. Review of rail defect non-destructive testing and evaluation[J]. Chinese Journal of Scientific Instrument, 2019, 40(2): 11-25. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201902002.htm
    [34]
    DAI Peng, WANG Sheng-chun, DU Xin-yu, et al. Image recognition method for the fastener defect of ballastless track based on semi-supervised deep learning[J]. China Railway Science, 2018, 39(4): 43-49. (in Chinese) doi: 10.3969/j.issn.1001-4632.2018.04.07
    [35]
    YAO Zong-wei, YANG Hong-fei, HU Ji-yong, et al. Track surface defect detection method based on machine vision and convolutional neural network[J]. Journal of the China Railway Society, 2021, 43(4): 101-107. (in Chinese) doi: 10.3969/j.issn.1001-8360.2021.04.013
    [36]
    SUN Ci-suo, LIU Jun, QIN Yong, et al. Intelligent detection method for rail flaw based on deep learnin[J]. China Railway Science, 2018, 39(5): 51-57. (in Chinese) doi: 10.3969/j.issn.1001-4632.2018.05.07
    [37]
    MIN Yong-zhi, YUE Biao, MA Hong-feng, et al. Rail surface defects detection based on gray scale gradient characteristics of image[J]. Chinese Journal of Scientific Instrument, 2018, 39(4): 220-229. https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201804026.htm
    [38]
    GAN Jin-rui, LI Qing-yong, WANG Jian-zhu, et al. A hierarchical extractor-based visual rail surface inspection system[J]. IEEE Sensors Journal, 2017, 17(23): 7935-7944. doi: 10.1109/JSEN.2017.2761858
    [39]
    HU Song-tao, SHI Wen-ze, LU Chao, et al. Research on in-situ detection of damage in the high-speed railway turnout bottom based on shear horizontal guided wave[J]. Journal of Mechanical Engineering, 2021, 57(18): 2-14. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB202118002.htm
    [40]
    XU Qing-yang, LIU Zhong-tian, ZHAO Hui-bing. Method of turnout fault diagnosis based on hidden Markov model[J]. Journal of The China Railway Society, 2018, 40(8): 98-106. (in Chinese) doi: 10.3969/j.issn.1001-8360.2018.08.013
    [41]
    TIAN Shi-run, QI Jin-ping, WANG Bao-fu, et al. Fault diagnosis of double slip switches based on Bayesian network[J]. Journal of Beijing Jiaotong University, 2020, 44(6): 118-125. (in Chinese) doi: 10.11860/j.issn.1673-0291.20200101
    [42]
    CHEN Hong-yi, WANG Xiao-min, GUO Jin, et al. High-speed turnout flaw detection based on EEMD singular entropy[J]. Journal of Vibration, Measurement and Diagnosis, 2016, 36(5): 845-851, 1019. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCS201605006.htm
    [43]
    ZHAO Jie. Online rail defect detection method based on multi-sensor information fusion[D]. Chengdu: Southwest Jiaotong University, 2015. (in Chinese)
    [44]
    ZHAN You, YANG En-hui, MA Xiao-tian, et al. Development and algorithm verification of 3D laser detection system for non-ballasted track slab cracks[J]. Journal of the China Railway Society, 2021, 43(7): 114-120. (in Chinese) doi: 10.3969/j.issn.1001-8360.2021.07.015
    [45]
    XIAO Zi-wei, ZHU Guo-fu, ZHANG Jie, et al. Identification of CA mortar defects in CRTS Ⅱ ballastless tracks of high-speed railway using stress wave method[J]. Journal of Wuhan University of Technology, 2021, 43(6): 34-40. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHGY202106006.htm
    [46]
    LIAO Hong-jian, ZHU Qing-nü, ZAN Yue-wen, et al. Detection of ballastless track diseases in high-speed railway based on ground penetrating radar[J]. Journal of Southwest Jiaotong University, 2016, 51(1): 8-13. (in Chinese) doi: 10.3969/j.issn.0258-2724.2016.01.002
    [47]
    SHU Zhi-le, ZHU Si-yu, ZHANG Hua-jie. Ground penetrating radar detection and three-dimensional forward modeling of CA mortar layer disease on ballastless track[J]. Journal of Railway Science and Engineering, 2021, 18(7): 1679-1685. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSTD202107002.htm
    [48]
    ZHONG Peng-fei, CHE Ai-lan, FENG Shao-kong, et al. Typical defects' analysis and nondestructive detection method for undertrack structures of high speed railways[J]. Journal of Vibration and Shock, 2017, 36(11): 154-160. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201711024.htm
    [49]
    ZHOU Lu, ZHANG Chao, NI Yi-qing, et al. Real-time condition assessment of railway tunnel deformation using an FBG-based monitoring system[J]. Smart Structures and Systems, 2018, 21(5): 537-548.
    [50]
    ZHOU Lu, SUN Xiang-tao, NI Yi-qing. Review of inspection and monitoring methods of high speed train wheels and rails[J]. Electric Locomotives and Mass Transit Vehicles, 2021, 44(1): 1-10. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DJJI202101001.htm
    [51]
    ZHU Li-qiang, XU Xi-ning, YU Zu-jun, et al. Study on the railway integrity monitoring method based on ultrasonic guided waves[J]. Chinese Journal of Scientific Instrument, 2016, 37(7): 1603-1609. (in Chinese) doi: 10.3969/j.issn.0254-3087.2016.07.021
    [52]
    CAI Xiao-pei, TIAN Chun-xiang, WANG Tie-lin, et al. Mechanical characteristics and structural design of continuous welded rail on long-unit bridge with long span[J]. High Speed Railway Technology, 2020, 11(2): 73-79, 86. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GSTL202002013.htm
    [53]
    WEI Jia-hong, LIU Chong, REN Tong-qun, et al. Online condition monitoring of a rail fastening system on high-speed railways based on wavelet packet analysis[J]. Sensors, 2017, 17(2): 318. doi: 10.3390/s17020318
    [54]
    WANG Jun-fang, LIU Xiao-zhou, NI Yi-qing. A Bayesian probabilistic approach for acoustic emission-based rail condition assessment[J]. Computer-Aided Civil and Infrastructure Engineering, 2018, 33(1): 21-34. doi: 10.1111/mice.12316
    [55]
    WANG Jin-hu. Monitoring system for rail fracture and damage of heavy haul railway turnout based on bispectrum[J]. Railway Engineering, 2017, 57(6): 130-134, 139. (in Chinese) doi: 10.3969/j.issn.1003-1995.2017.06.31
    [56]
    MIAO Zhuang, HE Yue-lei, LU Hong-yao, et al. Research on measurement method of interlayer structure displacement in ballastless track based on machine vision[J]. Railway Standard Design, 2020, 64(4): 77-83. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDBS202004015.htm
    [57]
    YANG Fei, WANG Xiu-li, YOU Ming-xi, et al. Research on the state evaluation method of CRTS Ⅱ track slab based on track irregularity[J]. Journal of Railway Engineering Society, 2020, 37(7): 29-34. (in Chinese) doi: 10.3969/j.issn.1006-2106.2020.07.006
    [58]
    FU Qin-yi, LIU Zhi-ping, LI Kun-wu. An external railway geometric parameter measurement system based on GPS[J]. Science and Technology Review, 2014, 32(31): 41-45. (in Chinese) doi: 10.3981/j.issn.1000-7857.2014.31.004
    [59]
    LI Qi, BAI Zheng-dong, CHEN Bo-bo, et al. A novel track measurement system based on GNSS/INS and multisensor for high-speed railway[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(5): 569-579. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB202005004.htm
    [60]
    LI Guo-qing, LIU Xiu-bo, YANG Fei, et al. Variation law and impact on dynamic performance of profile irregularity caused by creep of simply-supported beam on high-speed railway[J]. Scientia Sinica (Technologica), 2014, 44(7): 786-792. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201407017.htm
    [61]
    CHEN Zhao-wei. Influence of pier settlement on dynamic performance of running trains in high-speed railways[D]. Chengdu: Southwest Jiaotong University, 2017. (in Chinese)
    [62]
    CHEN Zhao-wei, SUN Yu, ZHAI Wan-ming. Mapping relationship between pier settlement and rail deformation of high-speed railways—Part (Ⅰ): the unit slab track system[J]. Scientia Sinica (Technologica), 2014, 44(7): 770-777. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201407015.htm
    [63]
    CHEN Zhao-wei, SUN Yu, ZHAI Wan-ming. Mapping relationship between pier settlement and rail deformation of high-speed railways—Part (Ⅱ): the longitudinal connected ballastless track system[J]. Scientia Sinica (Technologica), 2014, 44(7): 778-785. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201407016.htm
    [64]
    GOU Hong-ye, RAN Zhi-wen, PU Qian-hui, et al. Study on mapping relationship between bridge vertical deformation and track geometry of high-speed railway[J]. Engineering Mechanics, 2019, 36(6): 227-238. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201906025.htm
    [65]
    GOU Hong-ye, RAN Zhi-wen, PU Qian-hui, et al. Research on the influence of vertical deformation of bridge on the track regularity[J]. Journal of Railway Engineering Society, 2018, 35(11): 42-47. (in Chinese) doi: 10.3969/j.issn.1006-2106.2018.11.008
    [66]
    GOU Hong-ye, YANG Long-chen, LENG Dan, et al. Effect of bridge lateral deformation on track geometry of high-speed railway[J]. Steel and Composite Structures, 2018, 29(2): 219-229.
    [67]
    GOU Hong-ye, XIE Rui, LIU Chang, et al. Analytical study on high-speed railway track deformation under long-term bridge deformations and interlayer degradation[J]. Structures, 2021, 29: 1005-1015. doi: 10.1016/j.istruc.2020.10.079
    [68]
    GOU Hong-ye, LIU Chang, XIE Rui, et al. Running safety of high-speed train on deformed railway bridges with interlayer connection failure[J]. Steel and Composite Structures, 2021, 39(3): 261-274.
    [69]
    JIANG Li-zhong, ZHENG Lan, FENG Yu-lin, et al. Mapping the relationship between the structural deformation of a simply supported beam bridge and rail deformation in high-speed railways[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2020, 234(10): 1081-1092. doi: 10.1177/0954409719880668
    [70]
    FENG Yu-lin, JIANG Li-zhong, ZHOU Wang-bao, et al. An analytical solution to the mapping relationship between bridge structures vertical deformation and rail deformation of high-speed railway[J]. Steel and Composite Structures, 2019, 33(2): 209-224.
    [71]
    JIANG Li-zhong, FENG Yu-lin, ZHOU Wang-bao, et al. Mapping relationship between continuous girder bridge transverse deformation and rail geometric changes of high-speed railway[J]. Journal of Building Structures, 2021, 42(4): 215-222. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JZJB202104024.htm
    [72]
    HE Chun-yan, CHEN Zhao-wei, ZHAI Wan-ming. Mapping relationship between uneven settlement of subgrade and rail deformation in subgrade-bridge transition section and its dynamic application[J]. Scientia Sinica (Technologica), 2018, 48(8): 881-890. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201808008.htm
    [73]
    WU Bin, LIN Zhi-hua, ZENG Zhi-ping, et al. Mapping relationship between the bridge pier's displacement and rail deformation of high-speed railways under the influence of sunshine temperature[J]. Journal of Railway Engineering Society, 2017, 34(11): 51-56, 75. (in Chinese) doi: 10.3969/j.issn.1006-2106.2017.11.011
    [74]
    YAU J D. Response of a train moving on multi-span railway bridges undergoing ground settlement[J]. Engineering Structures, 2009, 31(9): 2115-2122. doi: 10.1016/j.engstruct.2009.03.019
    [75]
    YANG Song, XIAO Hong, HUANG Lu-wei. Effects on mechanical properties of track structure and running safety caused by uneven settlement of bridge piers[J]. Sensors and Transducers, 2014, 183(12): 265-272.
    [76]
    XIONG Zhen-wei, LIANG Xin-ling, DAI Xian-xing, et al. Numerical analysis of bridge expansion-induced rail deformation of ballast truck[J]. Applied Mechanics and Materials, 2014, 580-583: 3208-3214. doi: 10.4028/www.scientific.net/AMM.580-583.3208
    [77]
    WANG Ping, XU Jing-mang, FANG Jia-sheng, et al. Research progress on track structure theory of high-speed railway[J]. High Speed Railway Technology, 2020, 11(2): 18-26. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GSTL202002005.htm
    [78]
    LIU Wen-shuo, DAI Gong-lian, QIN Hong-xi. Influence of friction effect of sliding bearing on track-bridge interaction between continuous welded rail and long-span bridge in high-speed railway[J]. Journal of Central South University (Science and Technology), 2019, 50(3): 627-633. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZNGD201903016.htm
    [79]
    WANG Hao-yu, MARKINE V. Dynamic behaviour of the track in transitions zones considering the differential settlement[J]. Journal of Sound and Vibration, 2019, 459: 114863. doi: 10.1016/j.jsv.2019.114863
    [80]
    DAI Gong-lian, LIU Yao, LIU Wen-shuo. Comparison of track-bridge interaction between long-span continuous girder bridge and continuous arch bridge[J]. Journal of Central South University (Science and Technology), 2017, 48(1): 233-238. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZNGD201701031.htm
    [81]
    JIANG Li-zhong, ZHANG Yun-tai, FENG Yu-lin, et al. Simplified calculation modeling method of multi-span bridges on high-speed railways under earthquake condition[J]. Bulletin of Earthquake Engineering, 2020, 18(5): 2303-2328. doi: 10.1007/s10518-019-00779-x
    [82]
    FENG Yu-lin, JIANG Li-zhong, ZHOU Wang-bao, et al. Seismic response laws and parameter impact of CRTS Ⅱ slab ballastless track key components between layers on bridge[J]. Railway Standard Design, 2020, 64(10): 30-34. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDBS202010007.htm
    [83]
    YI Ting-hua, WANG Hao, DING You-liang, et al. Time-varying effects and service performance evaluation for long-span bridges under the effects of continuous environmental loads[J]. China Basic Science, 2019, 21(6): 44-48. (in Chinese) doi: 10.3969/j.issn.1009-2412.2019.06.06
    [84]
    ZHOU Ling-yu, PENG Xiu-sheng, YANG Lin-qi, et al. Time-dependent mechanical properties of CRTS Ⅱ slab track on simply supported beam bridge under train load[J]. Journal of the China Railway Society, 2021, 43(3): 120-129. (in Chinese) doi: 10.3969/j.issn.1001-8360.2021.03.015
    [85]
    LI Long-xiang, ZHOU Ling-yu, HUANG Kan, et al. Performance of stiffness degradation of structure system in ballastless track-bridge under cyclic load[J]. Journal of Central South University (Science and Technology), 2019, 50(10): 2481-2490. (in Chinese) doi: 10.11817/j.issn.1672-7207.2019.10.016
    [86]
    ZHANG Xun, WEN Zhi-peng, LIU Rui, et al. Dynamic responses of a ballastless track bridge under debris flow impacts[J]. Journal of Railway Engineering Society, 2018, 35(1): 70-77. (in Chinese) doi: 10.3969/j.issn.1006-2106.2018.01.012
    [87]
    LIU Zhan-hui, HU Rui-jie, YAO Chang-rong, et al. State-of-the-art review of bridge impact research in 2019[J]. Journal of Civil and Environmental Engineering, 2020, 42(5): 235-246. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JIAN202005022.htm
    [88]
    CHEN Shu-li, LIU Yong-qian. Influence research of flood scouring on heavy-haul railway bridge dynamic performances and the corresponding reinforcement technology[J]. Journal of Vibration and Shock, 2018, 37(22): 187-193. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201822028.htm
    [89]
    ZHAO Guo-tang, LIU Yu. Mechanism analysis of delamination of CRTS Ⅱ slab ballastless track structure[J]. Journal of the China Railway Society, 2020, 42(7): 117-126. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDXB202007017.htm
    [90]
    CAI Xiao-pei, ZHONG Yang-long, RUAN Qing-wu, et al. Application of concrete damaged plasticity model to nonlinear analysis of ballastless track[J]. Journal of the China Railway Society, 2019, 41(5): 109-118. (in Chinese) doi: 10.3969/j.issn.1001-8360.2019.05.013
    [91]
    ZHOU Ling-yu, ZHANG Guang-chao, YU Zhi-wu, et al. Model experiments of ballastless track-bridge structure under cyclic temperature load[J]. Journal of the China Railway Society, 2020, 42(1): 82-88. (in Chinese) doi: 10.3969/j.issn.1001-8360.2020.01.012
    [92]
    DAI Gong-lian, SU Miao. Numerical stimulation of interface delamination failure for prefabricated slab ballastless track[J]. Journal of South China University of Technology(Natural Science Edition), 2016, 44(7): 102-107, 122. (in Chinese) doi: 10.3969/j.issn.1000-565X.2016.07.016
    [93]
    CAI Xiao-pei, LUO Bi-cheng, ZHONG Yang-long, et al. Arching mechanism of the slab joints in CRTS Ⅱ slab track under high temperature conditions[J]. Engineering Failure Analysis, 2019, 98: 95-108. doi: 10.1016/j.engfailanal.2019.01.076
    [94]
    ZHU Sheng-yang, FU Qiang, CAI Cheng-biao, et al. Damage evolution and dynamic response of cement asphalt mortar layer of slab track under vehicle dynamic load[J]. SCIENCE CHINA Technological Sciences, 2014, 57(10): 1883-1894. doi: 10.1007/s11431-014-5636-8
    [95]
    WANG Ming-ze, CAI Cheng-biao, ZHU Sheng-yang, et al. Experimental investigation on adhesive performance of concrete interface of double-block ballastless track based on cohesive zone model[J]. Journal of the China Railway Society, 2016, 38(11): 88-94. (in Chinese) doi: 10.3969/j.issn.1001-8360.2016.11.013
    [96]
    ZHAO Chun-fa, LIU Jian-chao, MAO Hai-he, et al. Interface damage analysis of CA mortar layer of the CRTSⅡ ballastless slab track under temperature gradient loads[J]. Scientia Sinica (Technologica), 2018, 48(1): 79-86. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201801009.htm
    [97]
    LIU Xue-yi, SU Cheng-guang, LIU Dan, et al. Research on the bond properties between slab and CA mortar and the parameters study of cohesive model[J]. Journal of Railway Engineering Society, 2017, 34(3): 22-28. (in Chinese) doi: 10.3969/j.issn.1006-2106.2017.03.005
    [98]
    ZHONG Yang-long, GAO Liang, WANG Pu, et al. Mechanism of interfacial shear failure between CRTS Ⅱ slab and ca mortar under temperature loading[J]. Engineering Mechanics, 2018, 35(2): 230-238. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201802028.htm
    [99]
    JIANG Zhong-hui, ZHAO Guo-tang, ZHANG He-ji, et al. Effects of vehicle and track key parameters on the rail corrugation of high-speed railways[J]. Journal of Mechanical Engineering, 2018, 54(4): 57-63. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201804010.htm
    [100]
    ZHAO Xiao-nan, CHEN Guang-xiong, KANG Xi, et al. Mechanism of polygonal wear on wheels of electric multiple units on Lanzhou-Xinjiang Passenger Dedicated Line[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 364-371. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT202002017.htm
    [101]
    CUI Xiao-li, CHENG Zhi, YANG Zong-chao, et al. Study on the phenomenon of rail corrugation on high-speed rail based on the friction-induced vibration and feedback vibration[J]. Vehicle System Dynamics, 2020, 60(2): 413-432.
    [102]
    CUI Xiao-lu, HUANG Bo, CHEN Guang-xiong. Research on multi-parameter fitting of fastener structures to suppress wheel-rail friction self-excited vibration[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 68-74. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT202101009.htm
    [103]
    SUN Yu, GUO Yu, LYU Kai-kai, et al. Effect of hollow- worn wheels on the evolution of rail wear[J]. Wear, 2019, 436-437: 203032. doi: 10.1016/j.wear.2019.203032
    [104]
    DING Yu. Research on fatigue damage and fatigue reliability of high-speed railway ballastless track[D]. Beijing: Beijing Jiaotong University, 2020. (in Chinese)
    [105]
    GOU Hong-ye, LIU Chang, ZHOU Wen, et al. Dynamic responses of a high-speed train passing a deformed bridge using a vehicle-track-bridge coupled model[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2021, 235(4): 463-477. doi: 10.1177/0954409720944337
    [106]
    GOU Hong-ye, YANG Biao, LIU Yu, et al. Deformation mapping relationship and running safety evaluation of train-track-bridge system for high-speed railway in complex conditions[J]. China Journal of Highway and Transport, 2021, 34(4): 162-173. (in Chinese) doi: 10.3969/j.issn.1001-7372.2021.04.014
    [107]
    WANG Kun-peng, XIA He, GUO Wei-wei, et al. Influence of uneven settlement of bridge piers on running safety of high-speed trains[J]. Journal of Vibration and Shock, 2014, 33(6): 137-142, 155. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201406025.htm
    [108]
    CHEN Zhao-wei. Dynamic contact behavior between longitudinally-connected-track and bridge deck subject to pier settlement and its influence on running train[J]. China Civil Engineering Journal, 2021, 54(1): 97-105. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC202101009.htm
    [109]
    WU Nan, XIAO Jun-hua, CHEN Jian-guo, et al. Effect of bridge pier deformation for high speed railway with ballastless track on train running safety and comfort[J]. Journal of Railway Engineering Society, 2017, 34(9): 58-63, 69. (in Chinese) doi: 10.3969/j.issn.1006-2106.2017.09.011
    [110]
    CAO Yan-mei, XIA He, LU Wen-liang, et al. A numerical method to predict the riding comfort induced by foundation construction close to a high-speed-line bridge[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2015, 229(5): 553-564. doi: 10.1177/0954409713519087
    [111]
    JIN Zhi-bing, YUAN Li-gang, PEI Shi-ling. Efficient evaluation of bridge deformation for running safety of railway vehicles using simplified models[J]. Advances in Structural Engineering, 2020, 23(3): 454-467. doi: 10.1177/1369433219875304
    [112]
    LI Xiao-zhen, XIAO Jun, LIU De-jun, et al. Performance influence of train driving on Shanghai-Nantong Yangtze River Bridge considering additional deformation[J]. Journal of Railway Engineering Society, 2016, 33(11): 63-68, 80. (in Chinese) doi: 10.3969/j.issn.1006-2106.2016.11.012
    [113]
    ZHU Zhi-hui, LIU Jie, ZHOU Zhi-hui, et al. Driving dynamic response analysis of long-span arch bridge considering temperature deformation[J]. Journal of Railway Engineering Society, 2019, 36(3): 26-31, 44. (in Chinese) doi: 10.3969/j.issn.1006-2106.2019.03.005
    [114]
    GOU Hong-ye, YANG Rui. Research on the running safety of high-speed railway on bridges under the action of temperature gradients[J]. Journal of Railway Engineering Society, 2020, 37(3): 47-52. (in Chinese) doi: 10.3969/j.issn.1006-2106.2020.03.008
    [115]
    ZHOU Shuang, ZHANG Nan, XIA He, et al. Effects of quasi-static deformation of a simply supported high speed railway box girder bridge on dynamic responses of vehicle-bridge coupled system[J]. Journal of Vibration and Shock, 2019, 38(5): 209-215, 258. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201905031.htm
    [116]
    LI Wen-qiu, ZHU Yan, LI Xiao-zhen. Dynamic response of bridges to moving trains: a study on effects of concrete creep and temperature deformation[J]. Applied Mechanics and Materials, 2012, 193-194: 1179-1182.
    [117]
    GOU Hong-ye, LIU Chang, HUA Hui, et al. Mapping relationship between dynamic responses of high-speed trains and additional bridge deformations[J]. Journal of Vibration and Control, 2021, 27(9/10): 1051-1062.
    [118]
    CHEN Zhao-wei, ZHAI Wan-ming, TIAN Guo-ying. Study on the safe value of multi-pier settlement for simply supported girder bridges in high-speed railways[J]. Structure and Infrastructure Engineering, 2018, 14(3): 400-410. doi: 10.1080/15732479.2017.1359189
    [119]
    CHEN Zhao-wei, ZHAI Wan-ming, CAI Cheng-biao, et al. Safety threshold of high-speed railway pier settlement based on train-track-bridge dynamic interaction[J]. Science China Technological Sciences, 2015, 58(2): 202-210. doi: 10.1007/s11431-014-5692-0
    [120]
    CHEN Zhao-wei, ZHAI Wan-ming. Relationship between multi-pier settlement and dynamic performance of high-speed train[J]. Journal of Mechanical Engineering, 2021, 57(10): 65-76. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB202110007.htm
    [121]
    CHEN Zhao-wei, ZHAI Wan-ming. Theoretical method of determining pier settlement limit value for China's high-speed railway bridges considering complete factors[J]. Engineering Structures, 2020, 209: 109998. doi: 10.1016/j.engstruct.2019.109998
    [122]
    LI Qi, WU Yue, WU Qi. Research on the threshold of vertical stiffness of simply supported girders considering static deformation of track[J]. Journal of Railway Engineering Society, 2020, 37(3): 34-39. (in Chinese) doi: 10.3969/j.issn.1006-2106.2020.03.006
    [123]
    SHI Xiao-yu. Influence of uneven settlement of bridge pier and creep camber of bridge girder on the running safety for high-speed railway[D]. Chengdu: Southwest Jiaotong University, 2018. (in Chinese)
    [124]
    HE Yan-nian. Effect of frost heave deformation of bridge foundation on running safety of high-speed railway[D]. Chengdu: Southwest Jiaotong University, 2019. (in Chinese)
    [125]
    ZHENG Xiao-long, XU Xin-yu, CHEN Ke-jian, et al. Deformation control limits for long-span concrete arch bridge of high-speed railway[J]. China Railway Science, 2019, 40(3): 60-64. (in Chinese) doi: 10.3969/j.issn.1001-4632.2019.03.09
    [126]
    GAO Mang-mang, ZHAO Hui-dong, XU Zhao-jun. Study on the heath monitoring index of in-service high speed railway long-span complex bridges[J]. China Railway, 2019(1): 15-20. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TLZG201901003.htm
    [127]
    ZHANG Xun, WEN Zhi-peng, CHEN Wen-su, et al. Dynamic analysis of coupled train-track-bridge system subjected to debris flow impact[J]. Advances in Structural Engineering, 2019, 22(4): 919-934. doi: 10.1177/1369433218785643
    [128]
    ZHANG Xun, WANG Xi-yang, CHEN Wen-su, et al. Numerical study of rockfall impact on bridge piers and its effect on the safe operation of high-speed trains[J]. Structure and Infrastructure Engineering, 2021, 17(1): 1-19. doi: 10.1080/15732479.2020.1730406
    [129]
    LI Ke-bing, ZHANG Nan, FANG Xiang-yu, et al. Dynamic analysis of a vehicle-bridge coupled system considering river scouring[J]. Journalof Vibration and Shock, 2014, 33(19): 40-47, 73. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201419009.htm
    [130]
    XIA He, ZHANG Nan, GUO Wei-wei. Dynamic Interaction of Train-Bridge Systems in High-Speed Railways: Theory and Applications[M]. Berlin: Springer, 2018.
    [131]
    GUO Wei, LI Jun-long, LIU Han-yun. The analysis of running safety of high-speed-train on bridge by using refined simulation considering strong earthquake[J]. Engineering Mechanics, 2018, 35(S1): 259-264, 277. (in Chinese) doi: 10.6052/j.issn.1000-4750.2017.06.S049
    [132]
    ZENG Qing, DIMITRAKOPOULOS E G. Vehicle-bridge interaction analysis modeling derailment during earthquakes[J]. Nonlinear Dynamics, 2018, 93(4): 2315-2337. doi: 10.1007/s11071-018-4327-6
    [133]
    LEI Hu-jun, HUANG Jiang-ze. Train running safety analysis of high-speed railway deck arch bridge of 445 m span under earthquake action[J]. Railway Standard Design, 2018, 62(11): 88-93. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDBS201811019.htm
    [134]
    YU Zhi-wu, HE Hua-wu, JIANG Li-zhong, et al. Dynamics and key technology research on high-speed railway track-bridge system under multiple dynamic sources[J]. China Civil Engineering Journal, 2017, 50(11): 1-9. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201711001.htm
    [135]
    YANG Chang-wei, TONG Xin-hao, LIAN Jing, et al. Research on warning threshold value optimization and responding strategy of earthquake early warning for high-speed railway[J]. Journal of the China Railway Society, 2019, 41(7): 88-94. (in Chinese) doi: 10.3969/j.issn.1001-8360.2019.07.011
    [136]
    ZHANG Nan, XIA He, GUO Wei-wei, et al. Analysis on the wind-vehicle-bridge coupling vibration for Nanjing Dashengguan Yangtze River Bridge of Beijing-Shanghai High-Speed Railway[J]. China Railway Science, 2009, 30(1): 41-48. (in Chinese) doi: 10.3321/j.issn:1001-4632.2009.01.008
    [137]
    LI Xiao-zhen, QIN Yu, LIU De-jun. The safety control of train running on the Wufeng Mountain Yangtze River Bridge under crosswind[J]. Journal of Railway Engineering Society, 2018, 35(7): 58-64. (in Chinese) doi: 10.3969/j.issn.1006-2106.2018.07.011
    [138]
    LIU De-jun, LI Xiao-zhen, MA Song-hua, et al. Study of coupling vibration of wind-train-track-bridge system for main ship channel bridge of Hutong Changjiang River Bridge[J]. Bridge Construction, 2015, 45(6): 24-29. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QLJS201506011.htm
    [139]
    LI Yong-le, ZHU Jia-qi, ZHAO Kai, et al. Coupled vibration of wind-rail vehicle-bridge system for Shanghai Yangtze River Bridge and the wind-resistant criterion of running trains[J]. China Civil Engineering Journal, 2012, 45(9): 108-114. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201209017.htm
    [140]
    LI Yong-le, DONG Shi-fu, ZANG Yu, et al. Coupling vibration of wind-vehicle-bridge system for long-span road-rail suspension bridge and resistant-wind criterion of running train[J]. Engineering Mechanics, 2012, 29(12): 114-120. (in Chinese) doi: 10.6052/j.issn.1000-4750.2011.03.0158
    [141]
    CUI Sheng-ai, LIU Pin, YAN Xian-jiao, et al. Simulation study on coupled vibration of train-bridge system of cross-sea bridge under crosswind condition[J]. Journal of the China Railway Society, 2020, 42(6): 93-101. (in Chinese) doi: 10.3969/j.issn.1001-8360.2020.06.013
    [142]
    GUO Wen-hua, HONG Xin-min, CHEN Chun-xia. Coupled vibration of train and bridge under high-speed trains passing each other in crosswind[J]. China Railway Science, 2020, 41(4): 48-56. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTK202004006.htm
    [143]
    HAN Yan, LIU Ye, HU Peng. Impact analysis of unsteady aerodynamic loads on the safety and comfort of trains running on bridges[J]. Journal of Railway Science and Engineering, 2020, 17(1): 118-128. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSTD202001015.htm
    [144]
    LIU Gao, CHEN Shang-you, WANG Kun-peng, et al. Study on coupling vibration of vehicle-bridge-wind-wave-current system of rail-cum-road sea bridge[J]. China Civil Engineering Journal, 2019, 52(4): 72-87. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201904007.htm
    [145]
    SHAO Xue-ming, WAN Jun, CHEN Da-wei, et al. Aerodynamic modeling and stability analysis of a high-speed train under strong rain and crosswind conditions[J]. Journal of Zhejiang University: SCIENCE A, 2011, 12(12): 964-970. doi: 10.1631/jzus.A11GT001
    [146]
    GOU Hong-ye, LENG Dan, WANG Han-yu, et al. Joint probability distribution model of wind velocity and rainfall with mixed Copula function[J]. China Journal of Highway and Transport, 2021, 34(2): 309-316. (in Chinese) doi: 10.3969/j.issn.1001-7372.2021.02.020
    [147]
    LENG Dan. Study on the influence mechanism of the coupling effects of wind and rain on the aerodynamic performances of high-speed railway bridge and vehicle[D]. Chengdu: Southwest Jiaotong University, 2020. (in Chinese)
    [148]
    GOU Hong-ye, LI Wen-hao, ZHOU Si-qing, et al. Dynamic response of high-speed train-track-bridge coupling system subjected to simultaneous wind and rain[J]. International Journal of Structural Stability and Dynamics, 2021, 21(11): 2150161. doi: 10.1142/S0219455421501613
    [149]
    RAN Zhi-wen. Study on running safety and comprehensive evaluation system of high-speed railway bridge under wind and rain condition[D]. Chengdu: Southwest Jiaotong University, 2020. (in Chinese)
    [150]
    CUI Yang-yang, XIONG Hong-bing, CHEN Da-wei, et al. Aerodynamic performance and overturning stability of high-speed trains in snowstorms[J]. Journal of Mechanical and Electrical Engineering, 2012, 29(8): 877-881. (in Chinese) doi: 10.3969/j.issn.1001-4551.2012.08.002
    [151]
    CUI Yang-yang. Development and application on multiphase flow computational model of high-speed train with OpenFOAM[D]. Hangzhou: Zhejiang University, 2012. (in Chinese)
    [152]
    XIA Chao-yi, LEI Jun-qing, ZHANG Nan. Coupled vibration analysis for train and simply-supported bridge system subjected to floating-ice collision[J]. Journal of Vibration and Shock, 2012, 31(13): 154-158. (in Chinese) doi: 10.3969/j.issn.1000-3835.2012.13.032
    [153]
    XIA Chao-yi, ZHANG Nan, XIA He, et al. Dynamic analysis of a train-bridge system under vessel collision and running safety evaluation of its high-speed train[J]. Journal of Vibration and Shock, 2015, 34(6): 155-161. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201506030.htm
    [154]
    XIA Chao-yi, ZHANG Nan, XIA He. Dynamic responses of train-bridge system subjected to truck collision and running safety evaluation of high-speed train[J]. Engineering Mechanics, 2013, 30(8): 119-126. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201308020.htm
    [155]
    XIA Chao-yi, XIA He, DE ROECK G. Dynamic response of a train-bridge system under collision loads and running safety evaluation of high-speed trains[J]. Computers and Structures, 2014, 140: 23-38. doi: 10.1016/j.compstruc.2014.04.010
    [156]
    LI Peng-hao, LI Zhong-long, HAN Zhao-ling, et al. Running safety evaluation of high-speed train subject to the impact of floating ice collision on bridge piers[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2022, 236(3): 220-233. doi: 10.1177/09544097211010001
    [157]
    YANG Shang-fu, CAI Cheng-biao, ZHU Sheng-yang, et al. Analysis of stamping machinery vibration impact on high-speed railway bridge and traffic[J]. Railway Standard Design, 2019, 63(12): 96-101, 117. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDBS201912019.htm
    [158]
    XIANG Huo-yue, CHEN Xu-li, LI Yong-le. Reliability of coupling train-bridge systems by ARMAX surrogate model[J]. Journal of Southwest Jiaotong University, 2021, DOI: 10.3969/j.issn.0258-2724.20200118.(in Chinese)
    [159]
    LI Yong-le, BAO Yu-long, XIANG Huo-yue. Simulation method and its application in dynamic analysis of vehicle-track-bridge system with ballastless track based on surrogate model[J]. China Civil Engineering Journal, 2018, 51(5): 95-102. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TMGC201805011.htm
    [160]
    HAN Xu, XIANG Huo-yue, LI Yong-le, et al. Predictions of vertical train-bridge response using artificial neural network-based surrogate model[J]. Advances in Structural Engineering, 2019, 22(12): 2712-2723. doi: 10.1177/1369433219849809
    [161]
    XIANG Huo-yue, TANG Ping, ZHANG Yuan, et al. Random dynamic analysis of vertical train-bridge systems under small probability by surrogate model and subset simulation with splitting[J]. Railway Engineering Science, 2020, 28(3): 305-315. doi: 10.1007/s40534-020-00219-6
    [162]
    XIANG Huo-yue, TANG Ping, WANG Tao, et al. Extreme value response statistics of a vehicle-bridge system based on SS/S method[J]. Journal of Vibration and Shock, 2020, 39(5): 105-111, 136. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ202005014.htm
    [163]
    TANG Zhao, DONG Shao-di, LUO Ren, et al. Application advances of artificial intelligence algorithms in dynamics simulation of railway vehicle[J]. Journal of Traffic and Transportation Engineering, 2021, 21(1): 250-266. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202101015.htm
    [164]
    SHAFIULLAH G M, ALI A B M S, THOMPSON A, et al. Predicting vertical acceleration of railway wagons using regression algorithms[J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(2): 290-299. doi: 10.1109/TITS.2010.2041057
    [165]
    ZHENG Shu-bin, ZHONG Qian-wen, CHAI Xiao-dong, et al. A novel prediction model for car body vibration acceleration based on correlation analysis and neural networks[J]. Journal of Advanced Transportation, 2018, 2018: 1752070.
    [166]
    YANG Tong, DONG Yu. Prediction algorithm of derailment coefficient in turnout area based on multi-sensor data fusion[J]. Journal of Railway Science and Engineering, 2020, 17(8): 1883-1892. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSTD202008001.htm
    [167]
    KRAFT S, CAUSSE J, MARTINEZ A. Black-box modelling of nonlinear railway vehicle dynamics for track geometry assessment using neural networks[J]. Vehicle System Dynamics, 2019, 57(9): 1241-1270. doi: 10.1080/00423114.2018.1497186
    [168]
    MARTIN T P, ZAAZAA K E, WHITTEN B, et al. Using a multibody dynamic simulation code with neural network technology to predict railroad vehicle-track interaction performance in real time[C]//ASME. Proceedings of ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. New York: ASME, 2007: 1881-1891.
    [169]
    LESTOILLE N, SOIZE C, FUNFSCHILLING C. Stochastic prediction of high-speed train dynamics to long-term evolution of track irregularities[J]. Mechanics Research Communications, 2016, 75: 29-39. doi: 10.1016/j.mechrescom.2016.05.007
    [170]
    ZENG Yuan-chen, ZHANG Wei-hua, SONG Dong-li, et al. Response prediction of stochastic dynamics by neural networks: theory and application on railway vehicles[J]. Computing in Science and Engineering, 2019, 21(3): 18-30. doi: 10.1109/MCSE.2018.2882328
    [171]
    QIAN Kun, LIANG Jie, GAO Yin-han. The prediction of vibration and noise for the high-speed train based on neural network and boundary element method[J]. Journal of Vibroengineering, 2015, 17(8): 4445-4457.
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