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Języki publikacji
Abstrakty
The SHM (Structural Health Monitoring) system deployed for an external prestressing tendon and steel plates rehabilitated continuous rigid frame bridge is introduced in this paper. Damages and deterioration of the large box girder was described as well as the rehabilitation plan. Data that were collected for 6 monthes were analyzed. Performance of the rehabilitated bridge, pattern of the collected data as well as investigation of the correlation between different types of data were the research focus. Temperature was considered as a major issue in the monitored data, the effort has been made to eliminate the effect of temperature in deformation and strain data. The best outlier detection method for deformation data is determined to be IQR analysis, for strain data a thresholding method of the empirical value 200 με was used, and lastly for tension force a thresholding method of 85% tension force was determined to be the best and most reasonable for outlier removal. The variation range of deflection and strain can help determine whether the vehicle load is over the limit.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
39--55
Opis fizyczny
Bibliogr. 21 poz., il., tab.
Twórcy
autor
- Harbin University, School of Civil and Architectural Engineering, Harbin, China
Bibliografia
- [1] H. Jia, J. Zhao, X. Li, et al., “Probabilistic pounding analysis of high-pier continuous rigid frame bridge with actual site conditions”, Earthquakes and Structures, vol. 15, no. 2, pp. 193-202, 2018, doi: 10.12989/eas.2018.15.2.193.
- [2] Y. Peng and Z. Zhang, “Development of a novel type of open-web continuous reinforced-concrete rigid-frame bridge”, Journal of Bridge Engineering, vol. 25, no. 8, art. no. 05020005, 2020, doi: 10.1061/(ASCE)BE.1943-5592.0001595.
- [3] S. Ameduri, M. Ciminello, I. Dimino, A. Concilio, A. Catignani, and R. Mancinelli, “Distributed sensor placement optimization for computer aided structural health monitoring”, Archive of Mechanical Engineering, vol. 66, no. 1, pp. 111-127, 2019, doi: 10.24425/ame.2019.126375.
- [4] Z. Zong, Z. Xia, H. Liu, et al., “Collapse failure of prestressed concrete continuous rigid-frame bridge under strong earthquake excitation: Testing and simulation”, Journal of Bridge Engineering, vol. 21, no. 9, pp. 04016047, 2016, doi: 10.1061/(ASCE)BE.1943-5592.0000912.
- [5] M. Fawad, K. Koris, M. Salamak, M. Gerges, L. Bednarski, and R. Sienko, “Nonlinear modelling of a bridge: A case study-based damage evaluation and proposal of Structural Health Monitoring (SHM) system”, Archives of Civil Engineering, vol. 68, no. 3, pp. 569-584, 2022, doi: 10.24425/ace.2022.141903.
- [6] J. Li and L. Xu, “Seismic performance improvement of continuous rigid-frame bridges with hybrid control system under near-fault ground motions”, Soil Dynamics and Earthquake Engineering, vol. 168, art. no. 107858, 2023, doi: 10.1016/j.soildyn.2023.107858.
- [7] M. Yoshikawa, H. Hayashi, S. Kawakita, and M. Hayashida, “Construction of Benten Viaduct, rigid-frame bridge with seismic isolators at the foot ofbpiers”, Cement and Concrete Composites, vol. 22, no. 1, pp. 39-46, 2000, doi: 10.1016/S0958-9465(99)00047-5.
- [8] A. Shan, “Analytical research on deformation monitoring of large span continuous rigid frame bridge during operation”, Engineering, vol. 7, no. 8, 2015, doi: 10.4236/eng.2015.78044.
- [9] K.Wei, J. Zhang, and S. Qin, “Experimental and numerical assessment into frequency domain dynamic response of deep water rigid-frame bridge”, Journal of Earthquake Engineering, vol. 26, no. 1, pp. 307-330, 2022, doi: 10.1080/13632469.2019.1684402.
- [10] L. Wang, D.S. Li, and J.P. Ou, “Fiber bragg grating temperature sensor system on a twin-deck continuous rigid frame bridge for long term monitoring”, Advanced Materials Research, vol. 148-149, pp. 1611-1618, 2010, doi: 10.4028/www.scientific.net/AMR.148-149.1611.
- [11] H.C. Gomez, P.J. Fanning, M.Q. Feng, and S. Lee, “Testing and long-term monitoring of a curved concrete box girder bridge”, Engineering Structures, vol. 33, no. 10, pp. 2861-2869, 2011, doi: 10.1016/j.engstruct.2011.05.026.
- [12] M.R. Nashta, R. Taghipour, M. Bozorgnasab, and H. Mirgolbabaei, “A novel method for identification of damage location in frame structures using a modal parameters-based indicator”, Archives of Civil Engineering, vol. 68, no. 3, pp. 633-643, 2022, doi: 10.24425/ace.2022.141907.
- [13] P. Ryjáček and M. Vokáč, “Long-term monitoring of steel railway bridge interaction with continuous welded rail”, Journal of Constructional Steel Research, vol. 99, pp. 176-186, 2014, doi: 10.1016/j.jcsr.2014.04.009.
- [14] D. Wu and L. Liu, “Study on iterative modification method of parameters in the health monitoring of large-span continuous rigid frame bridges”, Journal of The Institution of Engineers (India): Series A, vol. 103, no. 1, pp. 271-281, 2022, doi: 10.1007/s40030-021-00613-1.
- [15] A. Haidarpour and K.F. Tee, “Finite element model updating for structural health monitoring”, Structural Durability & Health Monitoring, vol. 14, no. 1, pp. 1-17, 2020, doi: 10.32604/sdhm.2020.08792.
- [16] A. Silik, X. Wang, C. Mei, et al., “Development of features for early detection of defects and assessment of bridge decks”, Structural Durability & Health Monitoring, vol. 17, no. 4, pp. 257-281, 2023, doi: 10.32604/sdhm.2023.023617.
- [17] A. Sharma, P. Kumar, H.K. Vinayak, and S.K. Walia, “Condition evaluation in steel truss bridge with fused Hilbert transform, spectral kurtosis, and bandpass filter”, Structural Durability & Health Monitoring, vol. 15, no. 2, pp. 139-165, 2021, doi: 10.32604/sdhm.2021.012316.
- [18] S.S. Pardeshi, A.D. Patange, R. Jegadeeshwaran, and M.R. Bhosale, “Tyre pressure supervision of two wheeler using machine learning”, Structural Durability & Health Monitoring, vol. 16, no. 3, pp. 271-290, 2022, doi: 10.32604/sdhm.2022.010622.
- [19] J.M. Ko and Y.Q. Ni, “Technology developments in structural health monitoring of large-scale bridges”, Engineering Structures, vol. 27, no. 12, pp. 1715-1725, 2005, doi: 10.1016/j.engstruct.2005.02.021.
- [20] K.Y. Koo, J.M.W. Brownjohn, D.I. List, and R. Cole, “Structural health monitoring of the tamar suspension bridge”, Structural Control and Health Monitoring, vol. 20, no. 4, pp. 609-625, 2013, doi: 10.1002/stc.1481.
- [21] D. Reagan, A. Sabato, and C. Niezrecki, “Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges”, Structural Health Monitoring, vol. 17, no. 5, pp. 1056-107, 2018, doi: 10.1177/1475921717735326.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3c19d085-4264-49a9-b858-ef1066e9a45a