Vibration-Based Damage Detection and Seismic Performance Assessment of Bridges

被引:23
|
作者
Ozer, Ekin [1 ]
Soyoz, Serdar [1 ]
机构
[1] Bogazici Univ, Dept Civil Engn, Istanbul, Turkey
关键词
IDENTIFICATION; RELIABILITY; SYSTEMS; MODELS; ACCURACY;
D O I
10.1193/080612EQS255M
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper proposes a reliability estimation methodology which utilizes system identification results obtained from vibration measurements. A series of earthquake and white noise excitations are imposed to a three-bent reinforced concrete bridge by three-shaking tables, simultaneously. Progressive structural damage is measured and observed, in accordance with increasing intensities of damaging events. Response measurements are obtained by accelerometers located on the deck and the columns of the bridge. Finite element models for non-updated and updated cases were obtained with and without considering acceleration measurements, respectively. Afterwards, damage detection and reliability estimation were carried out for these two cases using fragility curves. Consequently, it is shown that fragility curves of updated models significantly differ from fragility curves of non-updated models. The distinction stems from the difference between stiffness and especially damping parameters of updated and non-updated models. Such difference becomes more prominent at the extreme levels of damage.
引用
收藏
页码:137 / 157
页数:21
相关论文
共 50 条
  • [1] Performance of Vibration-Based Damage Detection Methods in Bridges
    Cruz, Paulo J. S.
    Salgado, Rolando
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2009, 24 (01) : 62 - 79
  • [2] VIBRATION-BASED DAMAGE DETECTION OF CABLE-STAYED BRIDGES
    Peng, Wei
    Wang, Yinhui
    Jin, Weiliang
    [J]. INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE PERFORMANCE OF BRIDGES AND STRUCTURES, 2010, : 160 - 164
  • [3] Vibration-based Damage Detection in Bridges via Machine Learning
    Sun, Shuang
    Liang, Li
    Li, Ming
    Li, Xin
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2018, 22 (12) : 5123 - 5132
  • [4] Vibration-based Damage Detection in Bridges via Machine Learning
    Shuang Sun
    Li Liang
    Ming Li
    Xin Li
    [J]. KSCE Journal of Civil Engineering, 2018, 22 : 5123 - 5132
  • [5] Vibration-based damage detection for bridges by deep convolutional denoising autoencoder
    Shang, Zhiqiang
    Sun, Limin
    Xia, Ye
    Zhang, Wei
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 20 (04): : 1880 - 1903
  • [6] Vibration-based dual-criteria approach for damage detection in arch bridges
    Jayasundara, Nirmani
    Thambiratnam, David
    Chan, Tommy
    Nguyen, Andy
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2019, 18 (5-6): : 2004 - 2019
  • [7] Vibration-based seismic damage identification in buildings
    Zapico, JL
    González, MP
    [J]. DAMAGE ASSESSMENT OF STRUCTURES VI, 2005, 293-294 : 727 - 734
  • [8] Assessment of vibration-based damage detection for an integral abutment bridge
    Siddique, A. B.
    Sparling, B. F.
    Wegner, L. D.
    [J]. CANADIAN JOURNAL OF CIVIL ENGINEERING, 2007, 34 (03) : 438 - 452
  • [9] Numerical Evaluation of Vibration-Based Methods for Damage Assessment of Cable-Stayed Bridges
    Talebinejad, Iman
    Fischer, Chad
    Ansari, Farhad
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2011, 26 (03) : 239 - 251
  • [10] Vibration-based Bayesian anomaly detection of PC bridges
    Kawabe, D.
    Kim, C. W.
    Takemura, K.
    Takase, K.
    [J]. CURRENT PERSPECTIVES AND NEW DIRECTIONS IN MECHANICS, MODELLING AND DESIGN OF STRUCTURAL SYSTEMS, 2022, : 1741 - 1747