Sensitivity analysis and sensor placement for damage identification of steel truss bridge

被引:0
|
作者
Mao, Yuxue [1 ]
Xiao, Feng [1 ]
Tian, Geng [1 ]
Xiang, Yujiang [2 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Safety Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China
[2] Oklahoma State Univ, Mech & Aerosp Engn, Stillwater, OK 74078 USA
关键词
Damage identification; Sensor placement; Steel truss bridge; Sensitivity analysis; Strain gauge; STATIC STRAIN-MEASUREMENTS; PARAMETER-ESTIMATION; OPTIMIZATION;
D O I
10.1016/j.istruc.2025.108310
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Choosing effective locations for sensor placement is critical for structural damage identification. In this study, the strain gauge arrangement of a steel truss bridge has been investigated. Damage sensitivity is explored by comparing the absolute deviation of strain before and after damage. A steel truss railway bridge is employed for damage identification, and the sensor placement is set up based on the damage sensitivity of the truss member. The strain gauges are placed on the most and secondary sensitive measurement locations. Results show that compared with the secondary sensitive measurement locations, strain gauges on the most sensitive measurement locations ensure an accurate damage identification result.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Railway simply supported steel truss bridge damage identification based on deflection
    Ren, Jian-Ying
    Su, Mu-Biao
    Zeng, Qing-Yuan
    Information Technology Journal, 2013, 12 (17) : 3946 - 3951
  • [2] Structural damage identification based on dual sensitivity analysis from optimal sensor placement
    Qi, Tengrun
    Hou, Zhilong
    Yu, Ling
    Journal of Infrastructure Intelligence and Resilience, 2024, 3 (03):
  • [3] SYSTEM IDENTIFICATION OF A STEEL TRUSS RAILWAY BRIDGE
    Venglar, Michal
    Lamperova, Katarina
    Sokol, Milan
    Marton, Martin
    7TH INTERNATIONAL CONFERENCE INTEGRITY-RELIABILITY-FAILURE (IRF2020), 2020, : 175 - 176
  • [4] Automated location of steel truss bridge damage using machine learning and raw strain sensor data
    Parisi, F.
    Mangini, A. M.
    Fanti, M. P.
    Adam, Jose M.
    AUTOMATION IN CONSTRUCTION, 2022, 138
  • [5] Redundancy Analysis of Steel Truss Girder Bridge
    Bhaganagare, Prashant
    TECHNO-SOCIETAL 2018: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SOCIETAL APPLICATIONS - VOL 1, 2020, : 921 - 931
  • [6] Dynamic performance analysis of steel truss bridge
    Wang, Shanshan
    Xu, Tao
    Qin, Sifeng
    Zhang, Yunjie
    APPLIED MATERIALS AND TECHNOLOGIES FOR MODERN MANUFACTURING, PTS 1-4, 2013, 423-426 : 1548 - 1551
  • [7] Modal Sensitivity Based Sensor Placement for Damage Identification Under Sparsity Constraint
    Blachowski, Bartlomiej
    PERIODICA POLYTECHNICA-CIVIL ENGINEERING, 2019, 63 (02): : 432 - 445
  • [8] Bridge health monitoring and damage identification of truss bridge using strain measurements
    Xiao, Feng
    Fan, Jin
    Chen, Gang S.
    Hulsey, J. Leroy
    ADVANCES IN MECHANICAL ENGINEERING, 2019, 11 (03)
  • [9] Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge
    Chang, Kai-Chun
    Kim, Chul-Woo
    ENGINEERING STRUCTURES, 2016, 122 : 156 - 173
  • [10] Damage Identification of a Plane Steel Truss with Incomplete Measurements
    Huang, Hongwei
    Yang, Jann N.
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2010, 2010, 7647