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Abstrakty
For the self-anchored suspension bridge with large span and complex structure, based on the finite element analysis and combined with the bridge load test, the stress characteristics before and after damage are analyzed in detail. For the main girder of the main vulnerable component, a variety of identification methods based on the existing dynamic damage identification methods are selected for damage identification comparison and analysis. According to the identification results of each method, an effective method for damage monitoring of the main girder of the bridge is determined. For the main girder of the vulnerable member of the self-anchored suspension bridge, according to the stress characteristics of each section and the position relationship with the assumed dynamic sensor, five damaged girder sections are set up, and each damage is assigned three levels of 10%, 20% and 40%. Based on the results of single damage and combined damage of these five girder sections, the indexes suitable for main girder damage identification are found out from various existing damage identification indexes. The Cross Modal Strain Energy (CMSE) index is selected as the main damage monitoring method for self-anchored suspension bridges because of its full damage identification ability and good noise resistance.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
385--398
Opis fizyczny
Bibliogr. 16 poz., il., tab.
Twórcy
autor
- Harbin University, School of Intelligent and Architectural Engineering, Harbin, China
autor
- Harbin University, School of Intelligent and Architectural Engineering, Harbin, China
autor
- Liaoning Jiaotou Maintenance Engineering Co., Ltd, General Affairs Department, China
Bibliografia
- [1] Y. An, E. Chatzi, et al., “Recent progress and future trends on damage identification methods for bridge structures”, Structural Control and Health Monitoring, vol. 26, no. 10, 2019, doi: 10.1002/stc.2416.
- [2] T.Y. Qi, C. Wang, et al., “Mechanical behavior improving study of concrete deck of main beam at pylon root of composite beam cable-stayed bridge”, Archives of Civil Engineering, vol. 70, no. 2, pp. 271-289, 2024, doi: 10.24425/ace.2024.149863.
- [3] W.R.Wickramasinghe, D.P. Thambiratnam, et al., “Vibration characteristics and damage detection in a suspension bridge”, Journal of Sound and Vibration, vol. 375, pp. 254-274, 2016, doi: 10.1016/j.jsv.2016.04.025.
- [4] Y. An, B.F. Spencer, and J. Ou, “A test method for damage diagnosis of suspension bridge suspender cables”, Computer-Aided Civil and Infrastructure Engineering, vol. 30, no. 10, pp. 771-784, 2015, doi: 10.1111/mice.12144.
- [5] Z. Chen, S. Zhu, et al., “Damage detection in long suspension bridges using stress influence lines”, Journal of Bridge Engineering, vol. 20, no. 3, 2015, doi: 10.1061/(ASCE)BE.1943-5592.0000681.
- [6] M. Fanhao, M. Bilal, et al., “Damage detection in active suspension bridges: an experimental investigation”, Sensors, vol. 18, no. 9, art. no. 3002, 2018, doi: 10.3390/s18093002.
- [7] M. Domaneschi, M. P. Limongelli, and L. Martinelli, “Vibration based damage localization using MEMS on a suspension bridge model”, Smart Structures and Systems, vol. 12, no. 6, pp. 679-694, 2013, doi:10.12989/sss.2013.12.6.679.
- [8] W. Smyth, J. Pei, and S.F. Masri, “System identification of the Vincent Thomas suspension bridge using earthquake records”, Earthquake Engineering and Structural Dynamics, vol. 32, no. 3, pp. 339-367, 2003, doi: 10.1002/eqe.226.
- [9] N.N. Long, N.H. Quyet, et al., “Damage Identification of Suspension Footbridge Structures using New Huntingbased Algorithms”, Engineering, Technology and Applied Science Research, vol. 13, no. 4, pp. 11085-11090, 2023, doi: 10.48084/etasr.5983.
- [10] N. Tomonori, M. Abe, et al., “Structural identification of a nonproportionally damped system and its application to a full-scale suspension bridge”, Journal of Structural Engineering, vol. 131, no. 10, pp. 1536-1545, 2005, doi: 10.1061/(ASCE)0733-9445(2005)131:10(1536).
- [11] D.M. Siringoringo and Y. Fujino, “System identification of suspension bridge from ambient vibration response”, Engineering Structures, vol. 30, no. 2, pp. 462-477, 2008, doi: 10.1016/j.engstruct.2007.03.004.
- [12] F. Ubertini, “On damage detection by continuous dynamic monitoring in wind-excited suspension bridges”, Meccanica, vol. 48, pp. 1031-1051, 2013, doi: 10.1007/s11012-012-9650-2.
- [13] X. Youlin, Z. Chaodong, et al., “Multi-level damage identification of a bridge structure: a combined numerical and experimental investigation”, Engineering Structures, vol. 156, pp. 53-67, 2018, doi: 10.1016/j.engstruct.2017.11.014.
- [14] C. Miao, M. Wang, et al., “Damage alarming of long-span suspension bridge based on GPS-RTK monitoring”, Journal of Central South University, vol. 22, no. 7, pp. 2800-2808, 2015, doi: 10.1007/s11771-015-2811-4.
- [15] L. Materazzi and F. Ubertini, “Eigenproperties of suspension bridges with damage”, Journal of Sound and Vibration, vol. 330, no. 26, pp. 6420-6434, 2011, doi: 10.1016/j.jsv.2011.08.007.
- [16] C. Zhiwei, C. Qinlin, and L. Jun, “Stress influence line identification of long suspension bridges installed with structural health monitoring systems”, International Journal of Structural Stability and Dynamics, vol. 16, no. 04, art. no. 1640023, 2016, doi: 10.1142/S021945541640023X.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f7b3e14d-9404-4fe8-91d5-496147f6e7cd
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