Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge

被引:151
|
作者
Chang, Kai-Chun [1 ]
Kim, Chul-Woo [1 ]
机构
[1] Kyoto Univ, Grad Sch Engn, Dept Civil & Earth Resources Engn, Kyoto 6158540, Japan
关键词
Damage Sensitive feature; Field experiment; Modal analysis; Outlier detection; Vibration-based structure health monitoring; STRUCTURAL DAMAGE; CONCRETE STRUCTURES; MOVING VEHICLE; GIRDER BRIDGES; TESTS; MODEL;
D O I
10.1016/j.engstruct.2016.04.057
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Bridge damage detection has become increasingly important, but few related techniques have been tested in situ on real bridges. For this study, a field experiment was conducted on an actual simply supported steel truss bridge with four artificial damage scenarios applied sequentially. Preliminary results of modal-parameter identification and vibration-based damage detection are then presented. For each scenario, modal frequencies and mode shapes of the bridge were identified with high precision and accuracy using a stabilization diagram-aided multivariate autoregressive analysis of vehicle-excited bridge vibrations. Changes in the identified modal parameters attributable to the artificial damage were observed. For modal frequencies, they decreased as damage causing high stress redistribution was applied, signifying a global stiffness loss. For mode shapes, both symmetric and anti-symmetric ones were distorted when the damage was applied asymmetrically, but no distortion was observed when damage was applied symmetrically. Moreover, a damage detection approach in an order of feature extraction and discrimination was verified to be practicable if the damage-sensitive feature was properly selected. Multiple modal frequencies, specifically the first three and four modal frequencies, were effective features because they were highly sensitive not only to the presence but also to the severity of the artificial damage. Multiple modal assurance criteria (MAC) values and coordinate modal assurance criteria (COMAC) values were also effective features that were sensitive to damage scenarios examined herein if sufficient modes were considered. However, neither a single frequency nor a single MAC value was as effective as multiple ones because each was sensitive to certain specific damage scenarios only. When damping ratios were taken as features, most of their combinations were slightly sensitive to the asymmetric damage, but none of those combinations, neither single nor multiple damping ratios, was sensitive to the symmetric damage. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:156 / 173
页数:18
相关论文
共 50 条
  • [31] VIBRATION-BASED APPROACH FOR STRUCTURAL DAMAGE DETECTION
    Rucevskis, Sandris
    Janeliukstis, Rims
    Akishin, Pavel
    Chate, Andris
    [J]. PROCEEDINGS OF THE 23RD INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: FROM ANCIENT TO MODERN ACOUSTICS, 2016,
  • [32] Vibration-based damage detection in rotating machinery
    Farrar, CR
    Duffey, TA
    [J]. DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES, 1999, 167-1 : 224 - 235
  • [33] Damage experiment on a steel plate girder bridge and vibration based damage detection
    Kim, C. W.
    Goi, Y.
    Mimasu, T.
    Kawatani, M.
    [J]. ADVANCES IN ENGINEERING MATERIALS, STRUCTURES AND SYSTEMS: INNOVATIONS, MECHANICS AND APPLICATIONS, 2019, : 2029 - 2034
  • [34] Damage identification in steel frames using dual-criteria vibration-based damage detection method and artificial neural network
    Nick, Hooman
    Ashrafpoor, Asgar
    Aziminejad, Armin
    [J]. STRUCTURES, 2023, 51 : 1833 - 1851
  • [35] Application of higher order SVD to vibration-based system identification and damage detection
    Chao, Shu-Hsien
    Loh, Chin-Hsiung
    Weng, Jian-Huang
    [J]. SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2012, PTS 1 AND 2, 2012, 8345
  • [36] System Identification and Vibration-Based Damage Detection in a Concrete Shear Wall System
    Soltani, A.
    Sabamehr, A.
    Chandra, A.
    Bagchi, A.
    [J]. SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2018, 2018, 10598
  • [37] Lessons learned from applications of vibration-based damage identification methods to a large bridge structure
    Farrar, CR
    Doebling, SW
    [J]. STRUCTURAL HEALT H MONITORING: CURRENT STATUS AND PERSPECTIVES, 1997, : 351 - 370
  • [38] Review of vibration-based structural damage identification methods
    Yang, Qiu-Wei
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2007, 26 (10): : 86 - 91
  • [39] Measurement selection for vibration-based structural damage identification
    Xia, Y
    Hao, H
    [J]. JOURNAL OF SOUND AND VIBRATION, 2000, 236 (01) : 89 - 104
  • [40] Temperature sensitivity of the vibration-based damage identification methods
    Serker, N. H. M. Kamrujjaman
    Wu, Zhishen
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HEALTH MONITORING OF STRUCTURE, MATERIALS AND ENVIRONMENT, VOLS 1 AND 2, 2007, : 621 - 625