Volume 35 Issue 1
May  2020
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Bin Zeng, Zhen Zhou, Qing Xu, Qingfang Zhang, and Jun Zhao. Experimental Investigation on Damage Identification of Cable-Stayed Arch-Truss Structures Using Modal Parameters[J]. STEEL CONSTRUCTION(Chinese & English), 2020, 35(1): 70-84. doi: 10.13206/j.gjgSE19112603
Citation: Bin Zeng, Zhen Zhou, Qing Xu, Qingfang Zhang, and Jun Zhao. Experimental Investigation on Damage Identification of Cable-Stayed Arch-Truss Structures Using Modal Parameters[J]. STEEL CONSTRUCTION(Chinese & English), 2020, 35(1): 70-84. doi: 10.13206/j.gjgSE19112603

Experimental Investigation on Damage Identification of Cable-Stayed Arch-Truss Structures Using Modal Parameters

doi: 10.13206/j.gjgSE19112603
  • Received Date: 2019-08-27
  • Rev Recd Date: 2019-10-30
  • In this paper, the experimental research on the damage identification method based on modal parameters for the cable-stayed arch-truss was conducted. Two test models of 6 m-span cable-stayed arch-truss were designed and fabricated. The structural damage was simulated by replacing the normal members with struts of different cross sections. Different damage conditions such as damage of the arch-truss members and the damage of the cable-strut system were designed. The modal parameters of first three orders were obtained through dynamic test for each damage condition, and the test results were analyzed by the combined identification method which was based on the vibration modal parameters: the top arch-truss was diagnosed by curvature modal difference method and modal flexibility difference curvature method. The regularized frequency change rate method is used to diagnose the bottom cable-strut system. The damage identification test results show that the curvature modal difference method and the modal flexibility difference curvature method have better effect on the damage identification of single-damage and multiple-damage of the cable-stayed arch-truss. And the recognition effect of the upper chord is better than that of the lower chord. Compared with the curvature modal difference method, the mutation of non-damage position is smaller and interference items are less by using the modal flexibility difference curvature method, leading to a better recognition effect; the regularized frequency change rate index of the first three orders’ frequency can effectively identify whether the cable support system is damaged. However, damage positioning for symmetrical position needs further verification.
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  • Qi Y S, Liu S H. Research of mechanical influence of initial imperfections on beam string structure[J]. Applied Mechanics and Materials, 2012, 166-169:282-286.
    Das S, Saha P, Patro S K. Vibration-based damage detection techniques used for health monitoring of structures:a review[J]. Journal of Civil Structural Health Monitoring, 2016, 6(3):477-507.
    Dahak M, Touat N, Benseddiq N. On the classification of normalized natural frequencies for damage detection in cantilever beam[J]. Journal of Sound & Vibration, 2017, 402:70-84.
    Wu Y H, Zhou X Q. L1 Regularized model updating for structural damage detection[J]. International Journal of Structural Stability and Dynamics, 2018, 18(12).Doi: 10.1142/S0219455418501572.
    He W Y, Ren W X. Structural damage detection using a parked vehicle induced frequency variation[J]. Engineering Structures, 2018,170:34-41.
    Mekjavić I, Damjanović D. Damage assessment in bridges based on measured natural frequencies[J]. International Journal of Structural Stability and Dynamics, 2017, 17(2):656-660.
    Zhou X, Wang D, Duan M, et al. Numerical study on mode curvature for damage detection of a drilling riser using transfer matrix technique[J]. Applied Ocean Research, 2017, 63:65-75.
    Dawari V B, Vesmawala G R. Modal curvature and modal flexibility methods for honeycomb damage identification in reinforced concrete beams[J]. Procedia Engineering, 2013, 51:119-124.
    Sung S H, Jung H J, Jung H Y. Damage detection for beam-like structures using the normalized curvature of a uniform load surface[J]. Journal of Sound and Vibration, 2013, 332(6):1501-1519.
    Ciambella J, Vestroni F. The use of modal curvatures for damage localization in beam-type structures[J]. Journal of Sound and Vibration, 2015, 340:126-137.
    Cao M, Radzieński M, Xu W, et al. Identification of multiple damage in beams based on robust curvature mode shapes[J]. Mechanical Systems and Signal Processing, 2014, 46(2):468-480.
    Cao M S, Xu W, Ren W X, et al. A concept of complex-wavelet modal curvature for detecting multiple cracks in beams under noisy conditions[J]. Mechanical Systems and Signal Processing, 2016, 76-77:555-575.
    Cao M, Xu W, Ostachowicz W, et al. Damage identification for beams in noisy conditions based on Teager energy operator-wavelet transform modal curvature[J]. Journal of Sound and Vibration, 2014, 333(6):1543-1553.
    Janeliukstis R, Rucevskis S, Wesolowski M, et al. Experimental structural damage localization in beam structure using spatial continuous wavelet transform and mode shape curvature methods[J]. Measurement, 2017, 102:253-270.
    Feng D, Feng M Q. Output-only damage detection using vehicle-induced displacement response and mode shape curvature index[J]. Structural Control and Health Monitoring, 2016, 23(8):1088-1107.
    Sun Z, Nagayama T, Nishio M, et al. Investigation on a curvature-based damage detection method using displacement under moving vehicle[J]. Structural Control and Health Monitoring, 2017,25(1).Doi: 10.1002/stc.2044.
    He M, Yang T, Du Y. Nondestructive identification of composite beams damage based on the curvature mode difference[J]. Composite Structures, 2017,16:178-186.
    Yang Z B, Radzienski M, Kudela P, et al. Damage detection in beam-like composite structures via Chebyshev pseudo spectral modal curvature[J]. Composite Structures, 2017, 168:1-12.
    Frans R, Arfiadi Y, Parung H. Comparative study of mode shapes curvature and damage locating vector methods for damage detection of structures[J]. Procedia Engineering, 2017, 171:1263-1271.
    Tran V A, Quek S T, Duan W H. Sensor validation in damage locating vector method for structural health monitoring[J]. International Journal of Structural Stability and Dynamics, 2011, 11(1):149-180.
    Khoshnoudian F, Talaei S, Fallahian M. Structural damage detection using frf data, 2d-pca, artificial neural networks and imperialist competitive algorithm simultaneously[J]. International Journal of Structural Stability and Dynamics, 2017.Doi: 10.1142/S0219455417500730.
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