Determination Method of Bridge Rotation Angle Response Using MEMS IMU

被引:6
作者
Sekiya, Hidehiko [1 ]
Kinomoto, Takeshi [2 ]
Miki, Chitoshi [3 ]
机构
[1] Tokyo City Univ, Adv Res Labs, Setagaya Ku, 8-15-1 Todoroki, Tokyo 1580082, Japan
[2] Metropolitan Expressway Co Ltd, Maintenance & Transportat Div, Chiyoda Ku, 1-4-1 Kasumigaseki, Tokyo 1008930, Japan
[3] Tokyo City Univ, Setagaya Ku, 1-28-1 Tamazutsumi, Tokyo 1588557, Japan
来源
SENSORS | 2016年 / 16卷 / 11期
关键词
bridge health monitoring; micro-electro-mechanical systems; inertial measurement unit; rotation angle response; angular velocity; free vibration; DIGITAL IMAGE CORRELATION; DISPLACEMENT; ACCELERATION; DEFLECTION; SENSORS; SYSTEM;
D O I
10.3390/s16111882
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
To implement steel bridge maintenance, especially that related to fatigue damage, it is important to monitor bridge deformations under traffic conditions. Bridges deform and rotate differently under traffic load conditions because their structures differ in terms of length and flexibility. Such monitoring enables the identification of the cause of stress concentrations that cause fatigue damage and the proposal of appropriate countermeasures. However, although bridge deformation monitoring requires observations of bridge angle response as well as the bridge displacement response, measuring the rotation angle response of a bridge subject to traffic loads is difficult. Theoretically, the rotation angle response can be calculated by integrating the angular velocity, but for field measurements of actual in-service bridges, estimating the necessary boundary conditions would be difficult due to traffic-induced vibration. To solve the problem, this paper proposes a method for determining the rotation angle response of an in-service bridge from its angular velocity, as measured by a inertial measurement unit (IMU). To verify our proposed method, field measurements were conducted using nine micro-electrical mechanical systems (MEMS) IMUs and two contact displacement gauges. The results showed that our proposed method provided high accuracy when compared to the reference responses calculated by the contact displacement gauges.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Robust Biomechanical Model-Based 3-D Indoor Localization and Tracking Method Using UWB and IMU
    Yoon, Paul K.
    Zihajehzadeh, Shaghayegh
    Kang, Bong-Soo
    Park, Edward J.
    IEEE SENSORS JOURNAL, 2017, 17 (04) : 1084 - 1096
  • [42] Long-Term Monitoring of Temperature Effect on Horizontal Rotation Angle at Beam Ends of a Railway Steel Truss Bridge
    Wang, Gao-Xin
    Ding, You-Liang
    JOURNAL OF BRIDGE ENGINEERING, 2019, 24 (10)
  • [43] Analysis of bridge vibration response for identification of bridge damage using BP neural network
    Wu, Rui
    Zhang, Chong
    NONLINEAR ENGINEERING - MODELING AND APPLICATION, 2023, 12 (01):
  • [44] Optimal Estimation and Fundamental Limits for Target Localization Using IMU/TOA Fusion Method
    Xu, Cheng
    He, Jie
    Li, Yuanyuan
    Zhang, Xiaotong
    Zhou, Xinghang
    Duan, Shihong
    IEEE ACCESS, 2019, 7 : 28124 - 28136
  • [45] A localization method for wireless capsule endoscopy using side wall cameras and IMU sensor
    Vedaei, Seyed Shahim
    Wahid, Khan A.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [46] Multiple IMU sensor fusion using resolution refinement method to reduce quantization error
    Yoo, Sung Sic
    Kabir, Humayun
    Lee, Heung-Shik
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2023, 37 (01) : 163 - 168
  • [47] Multiple IMU sensor fusion using resolution refinement method to reduce quantization error
    Sung Sic Yoo
    Humayun Kabir
    Heung-Shik Lee
    Journal of Mechanical Science and Technology, 2023, 37 : 163 - 168
  • [48] A Modified Method to Model the Effect of Residual Stress on Touch-point Pressure and Pull-in Voltage for MEMS Capacitive Transducers using Square Diaphragm
    Sharma, Anurekha
    IETE JOURNAL OF RESEARCH, 2011, 57 (02) : 118 - 124
  • [49] High-precision rotation angle measurement method based on a lensless digital holographic microscope
    Wu, Yumin
    Cheng, Haobo
    Wen, Yongfu
    APPLIED OPTICS, 2018, 57 (01) : 112 - 118
  • [50] Self-calibration of cameras using affine correspondences and known relative rotation angle
    Yu, Yingjian
    Guan, Banglei
    Sun, Xiangyi
    Li, Zhang
    APPLIED OPTICS, 2021, 60 (35) : 10785 - 10794