Bridge Real-Time Damage Identification Method Using Inclination and Strain Measurements in the Presence of Temperature Variation
Publication: Journal of Bridge Engineering
Volume 24, Issue 2
Abstract
In this paper, a new real-time damage identification method has been presented for bridge structural health monitoring (SHM) considering temperature variation. The method utilizes model-based damage identification that involves three major steps: (1) efficient basis functions—extracted from finite-element (FE) models prior to real-time identification; (2) partial least-squares regression (PLSR) analyses; and (3) the fusion of different types of structural responses into damage indicator. By treating local damages as equivalent vertical loads and then cross-referencing global (inclinations) and local (strain) data, the hidden damage information in bridge structures can be detected and localized in a timely fashion, even in the presence of unknown temperature variation as well as vehicle loads. Inclinations alone cannot reflect local damages, but by fusing inclinations and strains (that represent local damage) into the proposed damage indicator, local damages can be identified. Numerical simulations on a medium-span continuous bridge demonstrate that the proposed method is insensitive to measurement noise and some common modeling errors, revealing the potential of real-time damage identification in bridge SHM applications.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors acknowledge support for the work reported in this paper from State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji Univ. (Grant SLDRCE15-A-02), China Scholarship Council (File 201506260124), and Tongji Grant (SLDRCE13-MB-01).
References
ANSYS. 2009. User’s manual, version 12.0 Swanson analysis system. Canonsburg, PA: ANSYS.
Barth, K. 2012. Steel bridge design handbook design example 2a: Two-span continuous straight composite steel I-girder bridge. Federal Highway Administration Rep. FHWA-IF-12-052. Pittsburgh, PA: HDR Engineering.
Bernal, D. 2002. “Load vectors for damage localization.” J. Eng. Mech. 128 (1): 7–14. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:1(7).
Bernal, D. 2006. “Flexibility-based damage localization from stochastic realization results.” J. Eng. Mech. 132 (6): 651–658. https://doi.org/10.1061/(ASCE)0733-9399(2006)132:6(651).
Carden, E. P., and P. Fanning. 2004. “Vibration based condition monitoring: A review.” Struct. Health Monit. 3 (4): 355–377. https://doi.org/10.1177/1475921704047500.
Duan, Y. F., Y. L. Xu, Q. G. Fei, K. Y. Wong, K. W. Y. Chan, Y. Q. Ni, and C. L. Ng. 2011. “Advanced finite element model of Tsing Ma Bridge for structural health monitoring.” Int. J. Struct. Stab. Dyn. 11 (2): 313–344. https://doi.org/10.1142/S0219455411004117.
Fan, W., and P. Qiao. 2011. “Vibration-based damage identification methods: A review and comparative study.” Struct. Health Monit. 10 (1): 83–111. https://doi.org/10.1177/1475921710365419.
Follen, C. W., M. Sanayei, B. R. Brenner, and R. M. Vogel. 2014. “Statistical bridge signatures.” J. Bridge Eng. 19 (7): 04014022. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000596.
Fritzen, C.-P., D. Jennewein, and T. Kiefer. 1998. “Damage detection based on model updating methods.” Mech. Syst. Sig. Process. 12 (1): 163–186. https://doi.org/10.1006/mssp.1997.0139.
Gandomi, A. H., M. G. Sahab, A. Rahaei, and M. S. Gorji. 2008. “Development in mode shape-based structural fault identification technique.” World Appl. Sci. J. 5 (1): 29–38.
Hong, W., Y. Cao, and Z. Wu. 2016. Strain-based damage-assessment method for bridges under moving vehicular loads using long-gauge strain sensing. J. Bridge Eng. 21 (10): 04016059. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000933.
Kim, J.-T., Y.-S. Ryu, H.-M. Cho, and N. Stubbs. 2003. “Damage identification in beam-type structures: frequency-based method vs mode-shape-based method.” Eng. Struct. 25 (1): 57–67. https://doi.org/10.1016/S0141-0296(02)00118-9.
Lanata, F., and A. Del Grosso. 2006. “Damage detection and localization for continuous static monitoring of structures using a proper orthogonal decomposition of signals.” Smart Mater. Struct. 15 (6): 1811. https://doi.org/10.1088/0964-1726/15/6/036.
Li, Y. 2010. “Study on temperature distributions and thermal effects of Maglev Guideway.” Master’s dissertation, School of Naval, Ocean and Civil Engineering, Shanghai Jiao Tong Univ.
Liu, C., J. T. DeWolf, and J.-H. Kim. 2009. “Development of a baseline for structural health monitoring for a curved post-tensioned concrete box–girder bridge.” Eng. Struct. 31 (12): 3107–3115. https://doi.org/10.1016/j.engstruct.2009.08.022.
Rosipal, R., and N. Krämer. 2006. “Overview and recent advances in partial least squares.” Subspace, latent structure and feature selection, 34–51. Berlin, Heidelberg: Springer.
Shenton, H. W., and X. Hu. 2006. “Damage identification based on dead load redistribution: methodology.” J. Struct. Eng. 132 (8): 1254–1263. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:8(1254).
Simoen, E., G. De Roeck, and G. Lombaert. 2015. “Dealing with uncertainty in model updating for damage assessment: A review.” Mech. Syst. Signal Process. 56-57: 123–149. https://doi.org/10.1016/j.ymssp.2014.11.001.
Sousa, H., J. Bento, and J. Figueiras. 2014. “Assessment and management of concrete bridges supported by monitoring data-based finite-element modeling.” J. Bridge Eng. 19 (6): 05014002. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000604.
Teughels, A., and G. De Roeck. 2005. “Damage detection and parameter identification by finite element model updating.” Revue européenne de génie civil 9 (1–2): 109–158. https://doi.org/10.1080/17747120.2005.9692748.
Tobias, R. D. 1995. “An introduction to partial least squares regression.” In Proc., SAS Users Group International 20 (SUGI 20), Orlando, FL: SAS Users Group (SUG).
Wang, Y. 2006. “Observation and analysis of prestressed concrete continuous box-girder temperature action.” Doctoral dissertation, School of Transportation, Southeast Univ.
Wold, H. 1966. “Estimation of principal components and related models by iterative least squares.” J. Multivariate Anal. 1: 391–420.
Yang, J. 2013. “Study of bridge deflection separation based on SVD and eigenvalue analysis.” Master’s dissertation, School of Civil Engineering, Guangzhou Univ.
Zhang, W., L. M. Sun, and S. W. Sun. 2016. “Bridge-deflection estimation through inclinometer data considering structural damages.” J. Bridge Eng. 22 (2): 04016117. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000979.
Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 24 • Issue 2 • February 2019
Copyright
© 2018 American Society of Civil Engineers.
History
Received: Mar 27, 2017
Accepted: Jun 28, 2018
Published online: Nov 23, 2018
Published in print: Feb 1, 2019
Discussion open until: Apr 23, 2019
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.