A Novel Split-Type Two-Axle Vehicle Model for Bridge Indirect Measurement

被引:1
|
作者
Zhu, Jinsong [1 ,2 ]
Shi, Teng [1 ]
机构
[1] Tianjin Univ, Sch Civil Engn, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Key Lab Coast Civil Struct Safety, Minist Educ, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Bridge; split-type two-axle vehicle; vehicle-bridge interaction; indirect measurement; DAMAGE DETECTION; PASSING VEHICLE; IDENTIFICATION; FREQUENCIES; RESPONSES; SHAPES; DECOMPOSITION; VIBRATION;
D O I
10.1142/S0219455424500925
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A split-type two-axle vehicle for bridge indirect measurement is proposed to address the deficiencies of single-axle and conventional two-axle vehicles. At first, the conceptual design of the split-type two-axle vehicle is put forth, and the analytical solution for the vehicle-bridge interaction (VBI) system response is derived. After that, the regularity of the vehicle frequency response function is studied, and the numerical analysis method is utilized to validate the analytical solution. Based on the theoretical findings, the vehicle frequency and speed are studied to investigate their impacts on extracting bridge frequencies from vehicle responses. The results indicate that a peak will form in the frequency response function (FRF) curves when the input frequency is near to the vehicle frequency. The single peak phenomenon will occur when the zero-point condition of the FRF from the contact point to the vehicle body is remarkably close to the second vibration frequency of the vehicle. It is preferable for the first frequency of the vehicle to be higher than that of the bridge since this helps to extract the bridge frequency. On the other hand, at low speeds ( <= 43.2km/h), higher vehicle speeds will result in a greater distance between the peaks of the left- and right-shifted frequencies of the bridge, wider frequency bands, and lower spectral resolution, which is not conducive to bridge frequency identification.
引用
收藏
页数:26
相关论文
共 22 条
  • [1] Two-axle test vehicle for bridges: Theory and applications
    Yang, Y. B.
    Zhang, Bin
    Wang, Tianyi
    Xu, Hao
    Wu, Yuntian
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2019, 152 : 51 - 62
  • [2] Identification of bridge modal parameter based on tire pressure monitoring of two-axle vehicle
    Zhu, Yipeng
    Liu, Chengyin
    Zhang, Jun
    JOURNAL OF SOUND AND VIBRATION, 2025, 606
  • [3] Indirect measurement of bridge surface roughness using vibration responses of a two-axle moving vehicle based on physics-constrained generative adversarial network
    Zhou, Junyong
    Zhang, Zhanyu
    Jin, Zeren
    Kong, Xuan
    Wang, Xiaohui
    Liu, Hai
    JOURNAL OF SOUND AND VIBRATION, 2025, 595
  • [4] Novel recursive formula for removing damping distortion effect on bridge mode shape restoration using a two-axle scanning vehicle
    Xu, Hao
    Yang, D. S.
    Chen, J.
    Wang, C. H.
    Yang, Y. B.
    ENGINEERING STRUCTURES, 2024, 308
  • [5] Bridge frequency extraction method based on contact point response of two-axle vehicle
    Yin, Xinfeng
    Yang, Yuecheng
    Huang, Zhou
    STRUCTURES, 2023, 57
  • [6] Extraction of bridge mode shapes from the response of a two-axle passing vehicle using a two-peak spectrum idealized filter approach
    Zhou, Junyong
    Lu, Zelin
    Zhou, Zunian
    Pan, Chudong
    Cao, Sasa
    Cheng, Jianting
    Zhang, Junping
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 190
  • [7] Subspace Identification of Bridge Frequencies Based on the Dimensionless Response of a Two-Axle Vehicle
    Quan, Yixin
    Zeng, Qing
    Jin, Nan
    Zhu, Yipeng
    Liu, Chengyin
    SENSORS, 2024, 24 (06)
  • [8] Mode shape construction for bridges from contact responses of a two-axle test vehicle by wavelet transform
    Xu, H.
    Liu, Y. H.
    Yang, M.
    Yang, D. S.
    Yang, Y. B.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 195
  • [9] Scanning of Bridge Surface Roughness from Two-Axle Vehicle Response by EKF-UI and Contact Residual: Theoretical Study
    Yang, Y. B.
    Wang, Baoquan
    Wang, Zhilu
    Shi, Kang
    Xu, Hao
    SENSORS, 2022, 22 (09)
  • [10] Two-axle test vehicle for damage detection for railway tracks modeled as simply supported beams with elastic foundation
    Yang, Y. B.
    Wang, Z. L.
    Shi, K.
    Xu, H.
    Mo, X. Q.
    Wu, Y. T.
    ENGINEERING STRUCTURES, 2020, 219 (219)