Dynamic response analysis of a model truss bridge considering damage scenarios

被引:6
作者
Vanova, Patricia [1 ,2 ]
Sun, Zhen [3 ,4 ]
Odinson, Odin-Eliott [2 ]
Jiang, Zhiyu [2 ]
机构
[1] Tech Univ Kosice, Fac Civil Engn, Ctr Res & Innovat Construction, Vysokoskolska 4, Kosice 04200, Slovakia
[2] Univ Agder, Fac Engn & Sci, Dept Engn Sci, Jon Lilletuns vei 9, NO-4879 Grimstad, Norway
[3] Univ Porto, Fac Engn FEUP, Construct ViBest, R Dr Roberto Frias, P-4200465 Porto, Portugal
[4] Southeast Univ, Key Lab Concrete & Prestressed Concrete Struct, Minist Educ, Nanjing 211189, Peoples R China
关键词
Steel truss bridge; Random vibration; Fatigue cracks; Nodal acceleration; Finite element analysis; IDENTIFICATION; VIBRATION; FAILURE;
D O I
10.1016/j.engfailanal.2023.107389
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Structural health monitoring plays a key role for maintenance and lifetime extension of bridges under complex loading conditions and damage scenarios. This paper applies vibration-based methods to monitor the structural health of a Warren-type truss bridge. First, acceleration measurements are used to obtain natural frequencies and modal shapes of the bridge by modal identification. Then, a high-fidelity numerical model in a finite element code is calibrated. Damage scenarios with various crack location and severity are considered for a member, and time-domain simulations are carried out to assess the dynamic responses of the bridge under random excitation. An analysis of the acceleration statistics shows that the damaged member displays a more significant increase in accelerations than the intact members, and locations near the supports of the damaged member experience more changes than other locations. This study contributes to a fundamental understanding of bridge dynamics and facilitates development of damage identification methods.
引用
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页数:18
相关论文
共 52 条
  • [1] [Anonymous], 2006, 19932 EN CEN
  • [2] [Anonymous], 2003, 19942 EN CEN
  • [3] [Anonymous], 2014, STANDARD USERS MANUA
  • [4] [Anonymous], 2005, 19931 EN CEN
  • [5] Awale M., 2022, THESIS U AGDER NORWA
  • [6] Probability distribution of decay rate: a statistical time-domain damping parameter for structural damage identification
    Ay, Ali M.
    Khoo, Suiyang
    Wang, Ying
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2019, 18 (01): : 66 - 86
  • [7] A novel sensitivity-based finite element model updating and damage detection using time domain response
    Baybordi, Shahriar
    Esfandiari, Akbar
    [J]. JOURNAL OF SOUND AND VIBRATION, 2022, 537
  • [8] Damage identification in a parabolic arch by means of natural frequencies, modal shapes and curvatures
    Capecchi, Danilo
    Ciambella, Jacopo
    Pau, Annamaria
    Vestroni, Fabrizio
    [J]. MECCANICA, 2016, 51 (11) : 2847 - 2859
  • [9] Structural health monitoring: Closing the gap between research and industrial deployment
    Cawley, Peter
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2018, 17 (05): : 1225 - 1244
  • [10] Craig R. R. J., 2006, Fundamentals of structural dynamics