Damage Location of Beam Railway Bridges Using Rotation Responses under Moving Train Loads
Publication: Journal of Performance of Constructed Facilities
Volume 35, Issue 6
Abstract
Detection of potential damage is of great significance for aging railway bridges. In this paper, a damage location method for beam railway bridges based on the rotation response to operational train loading is presented. The method is based on deformation area analysis of the operational rotation response of bridges to the passage of trains. The theoretical basis of this method is elaborated. The calculated deformation curvature area difference ratio (CADR) change is used to identify damage in bridges. To obtain the curvature area, a technique is proposed for the curvature area calculation. The results are presented in terms of the damage condition extracted from each ratio, which was obtained by dividing the deformation area from the current interval to the sum of the areas from all the intervals. The location of damage was identified by observing the magnitude of the changes in the CADR. Finite element models were utilized to verify the method. The influences of train-track-bridge interaction and environmental temperature changes were considered. The calculation process is given for the application of the proposed method to the damage location of railway bridges. Thereafter, vehicle-bridge models with different parameters are investigated. The results show the capability of the method.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research work was jointly supported by the National Natural Science Foundation of China (Grants Nos. 52050050, 51978128, and 52078102) and the LiaoNing Revitalization Talents Program (Grant No. XLYC1802035).
References
Abdel Wahab, M. M., and G. De Roeck. 1999. “Damage detection in bridges using modal curvatures: Application to a real damage scenario.” J. Sound Vib. 226 (2): 217–235. https://doi.org/10.1006/jsvi.1999.2295.
Beskhyroun, S., L. D. Wegner, and B. F. Sparling. 2012. “New methodology for the application of vibration-based damage detection techniques.” Struct. Control Health Monit. 19 (8): 632–649. https://doi.org/10.1002/stc.456.
Brownjohn, J. M. W., A. De Stefano, Y.-L. Xu, H. Wenzel, and A. E. Aktan. 2011. “Vibration-based monitoring of civil infrastructure: Challenges and successes.” J. Civ. Struct. Health Monit. 1 (3–4): 79–95. https://doi.org/10.1007/s13349-011-0009-5.
Chandrashekhar, M., and R. Ganguli. 2009. “Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic.” J. Sound Vib. 326 (3–5): 939–957. https://doi.org/10.1016/j.jsv.2009.05.030.
Erdenebat, D., D. Waldmann, F. Scherbaum, and N. Teferle. 2018. “The deformation area difference (DAD) method for condition assessment of reinforced structures.” Eng. Struct. 155 (Jan): 315–329. https://doi.org/10.1016/j.engstruct.2017.11.034.
Erdenebat, D., D. Waldmann, and N. Teferle. 2019. “Curvature based DAD-method for damage localisation under consideration of measurement noise minimisation.” Eng. Struct. 181 (Feb): 293–309. https://doi.org/10.1016/j.engstruct.2018.12.017.
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.
Feng, D., and M. Q. Feng. 2016. “Output-only damage detection using vehicle-induced displacement response and mode shape curvature index.” Struct. Control Health Monit. 23 (8): 1088–1107. https://doi.org/10.1002/stc.1829.
Hamey, C. S., W. Lestari, P. Qiao, and G. Song. 2004. “Experimental damage identification of carbon/epoxy composite beams using curvature mode shapes.” Struct. Health Monit. 3 (4): 333–353. https://doi.org/10.1177/1475921704047502.
He, W. Y., J. He, and W. X. Ren. 2018. “Damage localization of beam structures using mode shape extracted from moving vehicle response.” Measurement 121 (Jun): 276–285. https://doi.org/10.1016/j.measurement.2018.02.066.
He, W. Y., W. X. Ren, and S. Zhu. 2017. “Damage detection of beam structures using quasi-static moving load induced displacement response.” Eng. Struct. 145 (Aug): 70–82. https://doi.org/10.1016/j.engstruct.2017.05.009.
Li, Z. L., S. L. Li, J. Lv, and H. Li. 2015. “Condition assessment for high-speed railway bridges based on train-induced strain response.” Struct. Eng. Mech. 54 (2): 199–219. https://doi.org/10.12989/sem.2015.54.2.199.
National Railway Administration of the People’s Republic of China. 2014. Code for design of high speed railway. Beijing: China Railway Publishing House.
Nguyen, K. V. 2013. “Comparison studies of open and breathing crack detections of a beam-like bridge subjected to a moving vehicle.” Eng. Struct. 51 (Jun): 306–314. https://doi.org/10.1016/j.engstruct.2013.01.018.
Pandey, A. K., M. Biswas, and M. M. Samman. 1991. “Damage detection from changes in curvature mode shapes.” J. Sound Vib. 145 (2): 321–332. https://doi.org/10.1016/0022-460X(91)90595-B.
People’s Republic of China Ministry of Railways. 2001. Temporary specification for 200km/h speed level above railway vehicle design and test the strength of identification. Beijing: China Railway Publishing House.
Quirke, P., C. Bowe, E. J. Obrien, D. Cantero, P. Antolin, and J. M. Goicolea. 2017. “Railway bridge damage detection using vehicle-based inertial measurements and apparent profile.” Eng. Struct. 153 (Dec): 421–442. https://doi.org/10.1016/j.engstruct.2017.10.023.
Ratcliffe, C. P. 2000. “A frequency and curvature based experimental method for locating damage in structures.” J. Vib. Acoust. 122 (3): 324–329. https://doi.org/10.1115/1.1303121.
Spyrakos, C. C., I. G. Raftoyiannis, and J. C. Ermopoulos. 2004. “Condition assessment and retrofit of a historic steel-truss railway bridge.” J. Constr. Steel Res. 60 (8): 1213–1225. https://doi.org/10.1016/j.jcsr.2003.11.004.
Sun, Z., T. Nagayama, M. Nishio, and Y. Fujino. 2018. “Investigation on a curvature-based damage detection method using displacement under moving vehicle.” Struct. Control Health Monit. 25 (1): e2044. https://doi.org/10.1002/stc.2044.
Sun, Z., T. Nagayama, D. Su, and Y. Fujino. 2016. “A damage detection algorithm utilizing dynamic displacement of bridge under moving vehicle.” Shock Vib. 2016 (Jan): 1–9. https://doi.org/10.1155/2016/8454567.
Vagnoli, M., R. Remenyte-Prescott, and J. Andrews. 2018. “Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges.” Struct. Health Monit. 17 (4): 971–1007. https://doi.org/10.1177/1475921717721137.
Wei, S., Z. Zhang, S. Li, and H. Li. 2017. “Strain features and condition assessment of orthotropic steel deck cable-supported bridges subjected to vehicle loads by using dense FBG strain sensors.” Smart Mater. Struct. 26 (10): 104007. https://doi.org/10.1088/1361-665X/aa7600.
Xia, H., and N. Zhang. 2005. “Dynamic analysis of railway bridge under high-speed trains.” Comput. Struct. 83 (23–24): 1891–1901. https://doi.org/10.1016/j.compstruc.2005.02.014.
Xia, H., N. Zhang, and W. W. Guo. 2006. “Analysis of resonance mechanism and conditions of train-bridge system.” J. Sound Vib. 297 (3–5): 810–822. https://doi.org/10.1016/j.jsv.2006.04.022.
Yang, D. H., T. H. Yi, H. N. Li, H. Liu, and T. Liu. 2018a. “Train-induced dynamic behavior analysis of longitudinal girder in cable-stayed bridge.” Smart Mater. Struct. 21 (5): 549–559. https://doi.org/10.12989/sss.2018.21.5.549.
Yang, D. H., T. H. Yi, H. N. Li, and Y. F. Zhang. 2018b. “Correlation-based estimation method for cable-stayed bridge girder deflection variability under thermal action.” J. Perform. Constr. Facil. 32 (5): 04018070. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001212.
Yang, Y. B., and J. P. Yang. 2018. “State-of-the-art review on modal identification and damage detection of bridges by moving test vehicles.” Int. J. Struct. Stab. Dyn. 18 (2): 1850025. https://doi.org/10.1142/S0219455418500256.
Yang, Y. C., C. Dorn, C. Farrar, and D. Mascarena. 2020. “Blind, simultaneous identification of full-field vibration modes and large rigid-body motion of output-only structures from digital video measurements.” Eng. Struct. 207 (Mar): 110183. https://doi.org/10.1016/j.engstruct.2020.110183.
Yi, T. H., H. N. Li, and M. Gu. 2013a. “Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge.” Measurement 46 (1): 420–432. https://doi.org/10.1016/j.measurement.2012.07.018.
Yi, T. H., H. N. Li, and H. M. Sun. 2013b. “Multi-stage structural damage diagnosis method based on ‘energy-damage’ theory.” Smart Mater. Struct. 12 (3–4): 345–361. https://doi.org/10.12989/sss.2013.12.3_4.345.
Zhai, W. M. 2014. Vehicle-track coupled dynamics. Beijing: Science Press.
Zhao, H. W., Y. L. Ding, and A. Q. Li. 2018. “Dynamic performance evaluation of a high-speed four-track railway bridge traversed by multiple trains.” J. Perform. Constr. Facil. 32 (1): 04017130. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001126.
Zhou, Z., L. D. Wegner, and B. F. Sparling. 2007. “Vibration-based detection of small-scale damage on a bridge deck.” J. Struct. Eng. 133 (9): 1257–1267. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:9(1257).
Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 35 • Issue 6 • December 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Jan 15, 2021
Accepted: Sep 2, 2021
Published online: Oct 5, 2021
Published in print: Dec 1, 2021
Discussion open until: Mar 5, 2022
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.
Cited by
- Daihai Chen, Hua Cui, Zheng Li, Shizhan Xu, Yu Zhang, Indirect Identification and Analysis of Bridge Damage Using Vehicle–Bridge Coupled Vibration and Deep Learning, Journal of Performance of Constructed Facilities, 10.1061/JPCFEV.CFENG-4726, 38, 4, (2024).
- Run-Zhou You, Ting-Hua Yi, Liang Ren, Hong-Nan Li, Inverse Unit Load Method for Full-Field Reconstruction of Bending Stiffness in Girder Bridges, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10.1061/AJRUA6.RUENG-998, 9, 2, (2023).
- Nutthapong Kunla, Thira Jearsiripongkul, Suraparb Keawsawasvong, Chanachai Thongchom, Crack Identification in Cantilever Beam under Moving Load Using Change in Curvature Shapes, Computation, 10.3390/computation10060101, 10, 6, (101), (2022).