Phase-based vibration imaging for structural dynamics applications: Marker-free full-field displacement measurements with confidence measures

被引:17
作者
Miao, Yinan [1 ]
Kong, Yeseul [1 ]
Nam, Hyeonwoo [1 ]
Lee, Seunghwan [1 ]
Park, Gyuhae [1 ]
机构
[1] Chonnam Natl Univ, Dept Mech Engn, Gwangju 61186, South Korea
基金
新加坡国家研究基金会;
关键词
Full-field displacement measurements; Phase nonlinearity; Vibration imaging; Motion integration; Complex Gabor filter; CIVIL INFRASTRUCTURE; COMPUTER VISION; DSLR CAMERA; THERMOGRAPHY;
D O I
10.1016/j.ymssp.2023.110418
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Inspired by the concept of thermal imaging, we develop a phase-based vibration imaging tech-nique using marker-free full-field displacement measurements, which aims to determine vibra-tional energy distribution and possibly vibration parameters as the thermal imaging determining thermal energy distribution using colormap. In this study, accurate full-field measurements are conducted at the sub-pixel level by performing a full-field phase-based optical flow with three novel progresses. First, an image-preprocessing Gaussian smoothing gradient is applied to reduce the nonlinear phase caused by homogenous patterns and image noise. Second, two confidence measures (phase nonlinearity and filter response) are adopted to obtain reliable displacement measurements estimated from the multi-scale and multi-direction phases. Third, the combination of vector average and the intersection of constraints ensure the accuracy of integrating every pixel's displacement components. The vibrations can then be imaged by analyzing the acquired full-field displacements using techniques such as mean absolute deviation and frequency analyses. The capability of the proposed technique is demonstrated through numerical experiments using artificial patterns. After then, experimental validation is performed, which includes full-field operational deflection shape extraction on a 5-story structure and vibration imaging of an in-service hydrogen charging station, further proving the effectiveness of the proposed vibration imaging technique.
引用
收藏
页数:18
相关论文
共 44 条
  • [1] Non-destructive evaluation of localised heat damage occurring in carbon composites using thermography and thermal diffusivity measurement
    Addepalli, Sri
    Zhao, Yifan
    Roy, Rajkumar
    Galhenege, Wathsala
    Colle, Marine
    Yu, Jingjing
    Ucur, Aziz
    [J]. MEASUREMENT, 2019, 131 : 706 - 713
  • [2] Photogrammetry and optical methods in structural dynamics - A review
    Baqersad, Javad
    Poozesh, Peyman
    Niezrecki, Christopher
    Avitabile, Peter
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 86 : 17 - 34
  • [3] Spatiotemporal compressive sensing of full-field Lagrangian continuous displacement response from optical flow of edge: Identification of full-field dynamic modes
    Bhowmick, Sutanu
    Nagarajaiah, Satish
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 164
  • [4] Visualizing and quantifying small and nonstationary structural motions in video measurement
    Cai, Enjian
    Zhang, Yi
    Quek, Ser Tong
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2023, 38 (02) : 135 - 159
  • [5] Modal-based vibrothermography using feature extraction with application to composite materials
    Chi, Xintian
    Di Maio, Dario
    Lieven, Nicholas A. J.
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2020, 19 (04): : 967 - 986
  • [6] Automated framework for monitoring building structures through derivation of lateral stiffness using marker-free vision-based displacement sensor
    Choi, Insub
    Kim, JunHee
    Sohn, JungHoon
    [J]. MEASUREMENT, 2022, 194
  • [7] Informed pixel pushing: A new method of large-motion handling for phase-based optical flow
    Collier, Sean
    Dare, Tyler
    [J]. MEASUREMENT, 2023, 213
  • [8] Structural displacement monitoring using deep learning-based full field optical flow methods
    Dong, Chuan-Zhi
    Celik, Ozan
    Catbas, F. Necati
    O'Brien, Eugene J.
    Taylor, Su
    [J]. STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2020, 16 (01) : 51 - 71
  • [9] A review of computer vision-based structural health monitoring at local and global levels
    Dong, Chuan-Zhi
    Catbas, F. Necati
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 20 (02): : 692 - 743
  • [10] Automated modal identification by quantification of high-spatial-resolution response measurements
    Dorn, Charle
    Yang, Yongchao
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 186