Vibration and Deformation Monitoring of a Long-Span Rigid-Frame Bridge with Distributed Long-Gauge Sensors
Publication: Journal of Aerospace Engineering
Volume 30, Issue 2
Abstract
Ambient vibration tests and analyses of a long-span rigid-frame bridge were conducted using distributed long-gauge fiber-optic sensors. The concept of a long-gauge fiber-optic sensor and its merit to reveal local and global structural features are presented. Monitoring of a long-span bridge was performed using long-gauge sensors, and a method to calculate structural deformation distribution from the measured long-gauge strains is proposed, in which shear-deformation effect is considered because the main girder of the studied bridge is deep with a length–depth ratio of 17.9 at the end of the middle span. Modal identification of the studied bridge using the measured long-gauge dynamic strains was also performed, from which strain and displacement mode shapes were identified. Those results demonstrate the superiority of long-gauge fiber-optic sensors and their successful application to the studied bridge.
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Acknowledgments
This work was sponsored by the National High Technology Research and Development Program (863 Program) of China (2014AA110401).
References
Abdel-Ghaffar, A. M., and Scanlan, R. H. (1985). “Ambient vibration studies of Golden Gate Bridge. I: Suspended structure.” J. Eng. Mech., 463–482.
Ansari, F. (2007). “Practical implementation of optical fiber sensors in civil structural health monitoring.” J. Intell. Mater. Syst. Struct., 18(8), 879–889.
ANSYS Release 14.5 [Computer software]. Swanson Analysis System, Houston.
Brown, C. J., Roberts, G. W., and Meng, X. (2006). “Developments in the use of GPS for bridge monitoring.” Proc. Inst. Civ. Eng. Bridge Eng., 159(3), 117–119.
Brownjohn, J. M. W., De Stafano, A., Xu, Y.-L., Wenzel, H., and Aktan, A. E. (2011). “Vibration-based monitoring of civil infrastructure: Challenges and successes.” J. Civ. Struct. Health Monit., 1(3-4), 79–95.
Catbas, F. N., Kijewski-Correa, T., and Aktan, A. E., eds. (2013a). Structural identification of constructed facilities: Approaches, methods and technologies for effective practice of St-Id, ASCE, Reston, VA.
Catbas, F. N., Malekzadeh, M., and Khuc, T. (2013b). “Movable bridge maintenance monitoring.”, Florida Dept. of Transportation, Orlando, FL.
Conte, J. P., et al. (2008). “Dynamic testing of Alfred Zampa Memorial Bridge.” J. Struct. Eng., 1006–1015.
Gere, J. M., and Timoshenko, S. P. (1991). Mechanics of materials, Chapman & Hall, U.K.
Ko, J. M., Sun, Z. G., and Ni, Y. Q. (2002). “Multi-stage identification scheme for detecting damage in cable-stayed KapShuiMun bridge.” Eng. Struct., 24(7), 857–868.
MacLeod, A. B. (2010). “Structural health monitoring of the traffic bridge in Saskatoon using strain gages.” M.Sc. thesis, Univ. of Saskatchewan, Saskatoon, Canada.
Malekzadeh, M. (2014). “Structural health monitoring using novel sensing technologies and data analysis methods.” Ph.D. dissertation, Univ. of Central Florida, Orlando, FL.
Malekzadeh, M., Gul, M., and Necati Catbas, F. (2012). “Use of FBG sensors to detect damage from large amount of dynamic measurements.” Proc., 30th IMAC on Structural Dynamics, Vol. 1, Society for Experimental Mechanics, Bethel, CT, 273–281.
Murayama, H., Kageyama, K., Ohara, K., Uzawa, K., and Kanai, M. (2008). “Novel measurement system with optic fiber sensor for strain distribution in welded tubular joints.” Proc., ASME 27th Int. Conf. on Offshore Mechanics and Arctic Engineering, Vol. 5, Ocean, Offshore and Arctic Engineering Division, Houston, 439–446.
Pakzad, S. N., and Fenves, G. L. (2009). “Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network.” J. Struct. Eng., 863–872.
Shen, S., Wu, Z. S., Yang, C. Q., Wan, C. F., Tang, Y. S., and Wu, G. (2010). “An improved conjugated beam method for deformation monitoring with a distributed sensitive fiber optic sensor.” Struct. Health Monitor, 9(4), 361–378.
Siringoringo, D. M., and Fujino, Y. (2008). “System identification of suspension bridge from ambient vibration response.” Eng. Struct., 30(2), 462–477.
Timoshenko, S. P. (1921). “On the correction for shear of the differential equation for transverse vibrations of prismatic bars.” Philos. Mag., 41(245), 744–746.
Yi, T. H., Li, H. N., and Gu, M. (2013a). “Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge.” Measurement, 46(1), 420–432.
Yi, T. H., Li, H. N., and Sun, H. M. (2013b). “Multi-stage structural damage diagnosis method based on ‘energy-damage’ theory.” Smart Struct. Syst., 12(3-4), 345–361.
Zhang, J., Hong, W., Tang, Y. S., Yang, C. Q., Wu, Q., and Wu, Z. S. (2014). “Structural health monitoring of a steel stringer bridge with area sensing.” Struct. Infrastruct. Eng., 10(8), 1049–1058.
Zhang, J., Prader, J., Grimmelsman, K. A., Moon, F., Aktan, A. E., and Shama, A. (2013). “Experimental vibration analysis for structural identification of a long-span suspension bridge.” J. Eng. Mech., 748–759.
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© 2016 American Society of Civil Engineers.
History
Received: Oct 11, 2015
Accepted: Jun 8, 2016
Published online: Oct 31, 2016
Published in print: Mar 1, 2017
Discussion open until: Mar 31, 2017
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