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Damage detection of a cable-stayed bridge based on the variation of stay cable forces eliminating environmental temperature effects
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  • Journal title : Smart Structures and Systems
  • Volume 17, Issue 6,  2016, pp.859-880
  • Publisher : Techno-Press
  • DOI : 10.12989/sss.2016.17.6.859
 Title & Authors
Damage detection of a cable-stayed bridge based on the variation of stay cable forces eliminating environmental temperature effects
Chen, Chien-Chou; Wu, Wen-Hwa; Liu, Chun-Yan; Lai, Gwolong;
This study aims to establish an effective methodology for the detection of instant damages occurred in cable-stayed bridges with the measurements of cable vibration and structural temperatures. A transfer coefficient for the daily temperature variation and another for the long-term temperature variation are firstly determined to eliminate the environmental temperature effects from the cable force variation. Several thresholds corresponding to different levels of exceedance probability are then obtained to decide four upper criteria and four lower criteria for damage detection. With these criteria, the monitoring data for three stay cables of Ai-Lan Bridge are analyzed and compared to verify the proposed damage detection methodology. The simulated results to consider various damage scenarios unambiguously indicate that the damages with cable force changes larger than can be confidently detected. As for the required time to detect damage, it is found that the cases with of cable force change can be discovered in no more than 6 hours and those with of cable force change can be identified in at most 9 hours. This methodology is also investigated for more lightly monitored cases where only the air temperature measurement is available. Under such circumstances, the damages with cable force changes larger than can be detected within 12 hours. Even though not exhaustively reflecting the environmental temperature effects on the cable force variation, both the effective temperature and the air temperature can be considered as valid indices to eliminate these effects at high and low monitoring costs.
cable-stayed bridge;cable force;effective temperature;daily variation;long-term variation;transfer coefficient;damage detection;air temperature;
 Cited by
Reference-Free Displacement Estimation of Bridges Using Kalman Filter-Based Multimetric Data Fusion, Journal of Sensors, 2016, 2016, 1  crossref(new windwow)
Diagnosis of instant and long-term damages in cable-stayed bridges based on the variation of cable forces, Structure and Infrastructure Engineering, 2017, 1  crossref(new windwow)
Cao, Y.H., Yim, J.S., Zhao, Y. and Wang, M.L. (2011), "Temperature effects on cable stayed bridge using health monitoring system: a case study", Struct. Health. Monit., 10(5), 523-537. crossref(new window)

Chen, C.C., Wu, W.H. and Liu, C.Y. (2012), "Effects of temperature variation on cable forces of an extradosed bridge", Proceedings of 6th European Workshop on Structural Health Monitoring, Dresden, Germany, July.

Chen, C.C., Wu, W.H. and Liu, C.Y. (2014), "Decomposed components of the effective temperature history and their correlation with the variation of stay cable force", Proceedings of the 7th European Workshop on Structural Health Monitoring, Nantes, France, July.

Chen, C.C., Wu, W.H. and Liu, C.Y. (2015), "Daily and long-term variations of the effective temperature history and their correlation with those of stay cable force", Proceedings of the 2nd International Conference on Sustainable Urbanization, Hong Kong, January.

Chen C.C., Wu, W.H. and Shih, Y.D. (2010), "Effects of environmental variability on stay cable frequencies", Proceedings of the 2nd International Symposium on Life-Cycle Civil Engineering, Taipei, Taiwan, October.

Chen, C.C., Wu, W.H. and Tseng, H.Z. (2008), "Measurement of ambient vibration signal of shorter stay cables from stressing to service stages", Proceedings of the 4th European Workshop on Structural Health Monitoring, Krakow, Poland, July.

Cunha, A., Caetano, E., Magalhaces, F. and Moutinho, C. (2013), "Recent perspectives in dynamic testing and monitoring of bridges", Struct. Control Health., 20(6), 853-877. crossref(new window)

Degrauwe, D., De Roeck, G. and Lombaert, G. (2009), "Uncertainty quantification in the damage assessment of a cable-stayed bridge by means of fuzzy numbers", Comput. Struct., 87(17-18), 1077-84. crossref(new window)

Ding, Y.L., Li, A.Q. and Deng, Y. (2010), "Structural damage warning of a long-span cable-stayed bridge using novelty detection technique based on wavelet packet analysis", Adv. Struct. Eng., 13(2), 291-298. crossref(new window)

Ding, Y.L., Wang, G.X., Zhou, G.D. and Li, A. (2013), "Life-cycle simulation method of temperature field of steel box girder for Runyang cable-stayed bridge based on field monitoring data", China Civil Eng. J., 46(5), 129-136.

Dohler, M., Hille, F., Mevel, L. and Rucker, W. (2014), "Structural health monitoring with statistical method during progressive damage test of S101 bridge", Eng. Struct., 69, 183-193. crossref(new window)

Li, H.J. (2009), "Temperature effect analysis for structural state estimation of PC cable-stayed bridge", Archit. Env. Eng., 31(5), 81-85.

Min, Z.H., Sun, L.M. and Dan, D.H. (2009), "Effect analysis of environmental factors on structural modal parameters of a cable-stayed bridge", J. Vib. Shock, 28(10), 99-105.

Min, Z.H., Sun, L.M. and Zhong, Z. (2011), "Effect analysis of environmental temperature on dynamic properties of cable- stayed bridge", J. Tongji. U., 39(4), 488-494.

Ni, Y.Q., Hua, X.G., Fan, K.Q. and Ko, J.M. (2005), "Correlating modal properties with temperature using long-term monitoring data and support vector machine technique", Eng. Struct., 27(12), 1762-73. crossref(new window)

Ni, Y.Q., Hua, X.G., Wong, K.Y. and Ko, J.M. (2007), "Assessment of bridge expansion joints using long-term displacement and temperature measurement", J. Perform Constr. Facil. - ASCE, 21(2), 143-151. crossref(new window)

Ni, Y.Q., Zhou, H.F., Chan, K.C. and Ko, J.M. (2008), "Modal flexibility analysis of cable-stayed Ting Kau bridge for damage identification", Comput.-Aided Civ. Infrastruct. Eng., 23(3), 223-236. crossref(new window)

Ni, Y.Q., Zhou, H.F. and Ko, J.M. (2009), "Generalization capability of neural network models for temperature-frequency correlation using monitoring data", J. Struct. Eng. - ASCE, 135(10), 1290-1300. crossref(new window)

Sun, L.M., Zhou, Y. and Li, X.L. (2012), "Correlation study on modal frequency and temperature effects of a cable-stayed bridge model", Adv. Mater. Res., 446-449, 3264-3272. crossref(new window)

Trker, T. and Bayraktar, A. (2014), "Structural safety assessment of bowstring type RC arch bridges using ambient vibration testing and finite element model calibration", Measurement, 58, 33-45. crossref(new window)

Whelan, M.J. and Janoyan, K.D. (2010) "In-service diagnostics of a highway bridge from a progressive damage case study", J. Bridge Eng. - ASCE, 15(5), 597-607. crossref(new window)

Wu, Z.H. and Huang, N.E. (2009), "Ensemble empirical mode decomposition: a noise-assisted data analysis method", Adv. Adapt. Data Anal., 1(1), 1-41. crossref(new window)

Xu, Z.D. and Wu, Z.S. (2007), "Simulation of the effect of temperature variation on damage detection in a long-span cable-stayed bridge", Struct. Health Monit., 6(3), 177-189. crossref(new window)

Yao, C. and Li, Y.D. (2012), "Research on temperature influences in cable-stayed bridges' health monitoring", Appl. Mech. Mater., 188, 162-167. crossref(new window)

Zhou, H.F., Ni, Y.Q. and Ko, J.M. (2010), "Constructing input to neural networks for modeling temperature-caused modal variability: mean temperatures, effective temperatures, and principal components of temperatures", Eng. Struct., 32(6), 1747-1759. crossref(new window)

Zhou, H.F., Ni, Y.Q. and Ko, J.M. (2012), "Eliminating temperature effect in vibration-based structural damage detection", J. Eng. Mech. - ASCE, 137(12), 785-796.

Zhou, Y., Sun, L.M. and Sun, S.W. (2013), "Temperature field and its effects on a long-span steel cable-stayed bridge based on monitoring data", Proceedings of the 13th East Asia-Pacific Conference on Structural Engineering and Construction, Sapporo, Japan, September.