Detection and Localization of Degraded Truss Members in a Steel Arch Bridge Based on Correlation between Strain and Temperature
Publication: Journal of Performance of Constructed Facilities
Volume 31, Issue 5
Abstract
Taking advantage of the structural health monitoring system installed on the steel truss arch girder of the Dashengguan Yangtze Bridge, the monitoring correlation between strain and uniform temperature at night is obtained, and then the correlation analysis of wavelet packet decomposition is carried out, which can effectively decrease the discreteness of the monitoring correlation. After that, the whole finite-element model of the Dashengguan Yangtze Bridge is simplified into one top chord member, one diagonal web member, and one bottom chord member with imposed displacement movements on the supports. The simulated correlation between static strain and temperature is calculated using the flexibility equation of force method from the simplified finite-element model, which is close to the monitoring correlation, and the first-order derivative of flexibility equation is used to remove the influence of temperature action. Furthermore, the influence of degrading axial flexibility is analyzed, showing that the linear slopes are primarily affected by the degradation of chord members , , , and , and using the monitoring data, the method of detecting and locating the aging truss members is finally put forward.
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Acknowledgments
The authors gratefully acknowledge the National Basic Research Program of China (973 Program) (No. 2015CB060000), the National Science and Technology Support Program of China (No. 2014BAG07B01), the Key Program of the National Natural Science Foundation (No. 51438002), the Program of Six Major Talent Summit Foundation (No. 1105000268), the Fundamental Research Funds for the Central Universities and the Innovation Plan Program for Ordinary University Graduates of Jiangsu Province in 2014 (No. KYLX_0156), the Scientific Research Foundation of Graduate School of Southeast University (No. YBJJ1441), and the Program for Excellent Ph.D. Thesis and Cultivation of Innovative Talents. The authors, You-Liang Ding and Gao-Xin Wang, contribute equally to this work and should be considered co-first authors.
References
Alamdari, M. M., Rakotoarivelo, T., and Khoa, N. L. D. (2017). “A spectral-based clustering for structural health monitoring of the Sydney Harbour Bridge.” Mech. Syst. Signal Process., 87, 384–400.
Anastasopoulos, D., Moretti, P., and Geernaert, T. (2017). “Identification of modal strains using sub-microstrain FBG data and a novel wavelength-shift detection algorithm.” Mech. Syst. Signal Process., 86, 58–74.
Bao, Y. Q., Li, H., Chen, Z. C., Zhang, F. J., and Guo, A. X. (2016). “Sparse l1 optimization-based identification approach for distribution of moving heavy vehicle loads on cable-stayed bridges.” Struct. Control Health Monit., 23(1), 144–155.
Bueno, A., Torres, B. D., Calderon, P., and Sales, S. (2010). “Monitoring of a steel incrementally launched bridge construction with strain and temperature FBGs sensors.” Proc., SPIE-Int. Society for Optical Engineering, International Society for Optics and Photonics, Bellingham, WA, 772620.
Deng, L., and Cai, C. S. (2010). “Bridge model updating using response surface method and genetic algorithm.” J. Bridge Eng., 553–564.
Duan, Y. F., Li, Y., Hu, Y. D., and Xiang, Y. Q. (2011). “Strain-temperature correlation analysis of a tied arch bridge using monitoring data.” 2011 Int. Conf. on Multimedia Technology, IEEE, New York, 6025–6028.
Figlus, T., Liscak, S., Wilk, A., and Lazarz, B. (2014). “Condition monitoring of engine timing system by using wavelet packet decomposition of an acoustic signal.” J. Mech. Sci. Technol., 28(5), 1663–1671.
Gu, B., Chen, Z. J., and Chen, X. D. (2013). “Analysis of measured effective temperature and strains of long-span concrete box girder bridge.” J. Jilin Univ., 43(4), 877–884.
Gul, M., Gokce, H. B., and Catbas, F. N. (2011). “A characterization of traffic and temperature induced strains acquired using a bridge monitoring system.” Structures Congress 2011—Proc., 2011 Structures Congress, ASCE, Reston, VA, 89–100.
Guo, T., Frangopol, D. M., and Chen, Y. M. (2012). “Fatigue reliability assessment of steel bridge details integrating weigh-in-motion data and probabilistic finite element analysis.” Comput. Struct., 112, 245–257.
Li, J., Hao, H., Fan, K., and Brownjohn, J. (2015). “Development and application of a relative displacement sensor for structural health monitoring of composite bridges.” Struct. Control Health Monit., 22(4), 726–742.
Li, M., Ren, W. X., Hu, Y. D., and Wang, N. B. (2012). “Separating temperature effect from dynamic strain measurements of a bridge based on analytical mode decomposition method.” J. Vib. Shock, 31(21), 6–10.
Li, S. L., Li, H., Ou, J. P., and Li, H. W. (2009). “Integrity strain response analysis of a long span cable-stayed bridge.” Key Eng. Mater., 413–414, 775–783.
LS-DYNA [Computer software]. Livermore Software Technology Corp., Livermore, CA.
Maria, E. T., Marcelo, A. C., Gaston, S., and Patrick, F. (2011). “A complete ensemble empirical mode decomposition with adaptive noise.” Proc., ICASSP, IEEE Int. Conf. on Acoustics, Speech and Signal Processing, IEEE, Piscataway, NJ, 4144–4147.
Ryan, R., and Neil, A. H. (2014). “Distributed strain monitoring for bridges: Temperature effects.” Proc., SPIE-Int. Society for Optical Engineering, Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, 906131.
Wald, R., Khoshgoftaar, T. M., and Sloan, J. C. (2013). “Feature selection for optimization of wavelet packet decomposition in reliability analysis of systems.” Int. J. Artif. Intell. Tools, 22(5), 1360011.
Wang, G. X., Ding, Y. L., Sun, P., Wu, L. Y., and Yue, Q. (2015). “Assessing static performance of the Dashengguan Yangtze Bridge by monitoring the correlation between temperature field and its static strains.” Math. Prob. Eng., 2015, 1–12.
Ye, X. W., Ni, Y. Q., Wong, K. Y., and Ko, J. M. (2012). “Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data.” Eng. Struct., 45, 166–176.
Yi, T. H., Li, H. N., and Gu, M. (2013). “Recent research and applications of GPS-based monitoring technology for high-rise structures.” Struct. Control Health Monit., 20(5), 649–670.
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©2017 American Society of Civil Engineers.
History
Received: Nov 27, 2016
Accepted: Mar 27, 2017
Published online: Jun 15, 2017
Published in print: Oct 1, 2017
Discussion open until: Nov 15, 2017
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The authors declare that there is no conflict of interests regarding the publication of this article.
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