Nondestructive Evaluation of Railway Bridge by System Identification Using Field Vibration Measurement

被引:0
|
作者
Ho, Duc-Duy [1 ]
Hong, Dong-Soo [1 ]
Kim, Jeong-Tae [1 ]
机构
[1] Pukyong Natl Univ, Dept Ocean Engn, Busan 608737, South Korea
关键词
Model Update; Multi-Phase; System Identification; Railway Bridge; Field Vibration Test; Structural Health Monitoring;
D O I
暂无
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
This paper presents a nondestructive evaluation approach for system identification (SID) of real railway bridges using field vibration test results. First, a multi-phase SID scheme designed on the basis of eigenvalue sensitivity concept is presented. Next, the proposed multi-phase approach is evaluated from field vibration tests on a real railway bridge (Wondongcheon bridge) located in Yangsan, Korea. On the steel girder bridge, a few natural frequencies and mode shapes are experimentally measured under the ambient vibration condition. The corresponding modal parameters are numerically calculated from a three-dimensional fmite element (FE) model established for the target bridge. Eigenvalue sensitivities are analyzed for potential model-updating parameters of the FE model. Then, structural subsystems are identified phase-by-phase using the proposed model-updating procedure. Based on model-updating results, a baseline model and a nondestructive evaluation of test bridge are identified.
引用
收藏
页码:527 / 538
页数:12
相关论文
共 50 条
  • [11] Suspension Bridge Vibration Measurement Using Multihop Wireless Sensor Networks
    Nagayama, T.
    Ushita, M.
    Fujino, Y.
    PROCEEDINGS OF THE TWELFTH EAST ASIA-PACIFIC CONFERENCE ON STRUCTURAL ENGINEERING AND CONSTRUCTION (EASEC12), 2011, 14
  • [12] System identification of the suspension tower of Runyang Bridge based on ambient vibration tests
    Li, Zhijun
    Feng, Dongming
    Feng, Maria Q.
    Xu, Xiuli
    SMART STRUCTURES AND SYSTEMS, 2017, 19 (05) : 523 - 538
  • [13] Model Updating of Railway Bridge Using In Situ Dynamic Displacement Measurement under Trainloads
    Feng, Dongming
    Feng, Maria Q.
    JOURNAL OF BRIDGE ENGINEERING, 2015, 20 (12)
  • [14] Validation of virtual sensing for the reconstruction of stresses in a railway bridge using field data of the KW51 bridge
    Maes, K.
    Lombaert, G.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 190
  • [15] Modal Parameter Estimation of Model Steel Bridge Using System Identification Methods
    Ozcelik, Ozgur
    Gundogan, Merve
    Kahraman, Serap
    TEKNIK DERGI, 2013, 24 (03): : 6471 - 6478
  • [16] Discussion on a Vehicle-Bridge Interaction System Identification in a Field Test
    Shin, Ryota
    Okada, Yukihiko
    Yamamoto, Kyosuke
    SENSORS, 2023, 23 (01)
  • [17] Series of Full-Scale Field Vibration Tests and Bayesian Modal Identification of a Pedestrian Bridge
    Ni, Y. C.
    Zhang, F. L.
    Lam, H. F.
    JOURNAL OF BRIDGE ENGINEERING, 2016, 21 (08)
  • [18] Efficient evaluation of bridge deformation for running safety of railway vehicles using simplified models
    Jin, Zhibin
    Yuan, Ligang
    Pei, Shiling
    ADVANCES IN STRUCTURAL ENGINEERING, 2020, 23 (03) : 454 - 467
  • [19] Automatic Identification of Bridge Vortex-Induced Vibration Using Random Decrement Method
    Huang, Zhiwen
    Li, Yanzhe
    Hua, Xugang
    Chen, Zhengqing
    Wen, Qing
    APPLIED SCIENCES-BASEL, 2019, 9 (10):
  • [20] Modal Identification of a Bridge Using the Vibration Response of a Passing Vehicle Combining VMD and TKEO
    Srinivas A.
    Lakshmi K.
    Journal of The Institution of Engineers (India): Series A, 2024, 105 (03) : 603 - 618