Feasibility investigation for a bridge damage identification method through moving vehicle laboratory experiment

REFERENCES

• Adeli, H., & Jiang, X. (2006). Dynamic fuzzy wavelet neural network model for structural system identification. Journal of Structural Engineering (ASCE), 132(1), 102–111.
   Web of Science ®Google Scholar
• Dilena, M., & Morassi, A. (2011). Dynamic testing of a damaged bridge. Mechanical Systems and Signal Processing, 25, 1485–1507.
   Web of Science ®Google Scholar
• Estes, A.C., & Frangopol, D.M. (1999). Repair optimization of highway bridges using system reliability approach. Journal of Structural Engineering (ASCE), 125(7), 766–775.
   Web of Science ®Google Scholar
• Fan, W., & Qiao, P. (2011). Vibration-based damage identification methods: A review and comparative study. Structural Health Monitoring, 10, 83–111.
   Web of Science ®Google Scholar
• Fryba, L. (1996). Dynamics of railway bridges (3rd ed). London: Thomas Telford.
   Google Scholar
• Green, M.F., & Cebon, D. (1997). Dynamic interaction between heavy vehicles and highway bridges. Computer and Structures, 62, 253–264.
   Web of Science ®Google Scholar
• Hansen, P.C. (1994). Regularization tools: A Matlab package for analysis and solution of discrete ill-posed problems. Numerical Algorithms, 6, 1–35.
   Google Scholar
• Hino, J., Yoshimura, T., & Ananthanarayana, N. (1985). Vibration analysis of non-linear beams subjected to a moving load using the finite element method. Journal of Sound and Vibration, 100, 477–491.
   Web of Science ®Google Scholar
• Huang, D., & Wang, T.L. (1998). Vibration of highway steel bridges with longitudinal grades. Computers and Structures, 69, 235–245.
   Web of Science ®Google Scholar
• Hutton, S.G., & Cheung, Y.K. (1979). Dynamic response of single span highway bridges. Earthquake Engineering and Structural Dynamics, 7, 543–553.
   Web of Science ®Google Scholar
• Inbahathan, M.J., & Wieland, M. (1987). Bridge vibrations due to vehicle moving over rough surface. Journal of Structural Engineering (ASCE), 113, 1994–2008.
   Web of Science ®Google Scholar
• Kim, C.W., & Kawatani, M. (2008). Pseudo-static approach for damage identification based on coupling vibration with a moving vehicle. Structure and Infrastructure Engineering, 4(5), 371–379.
   Web of Science ®Google Scholar
• Kim, C.W., Kawatani, M., & Hao, J. (2012). Modal parameter identification of short span bridges under a moving vehicle by means of multivariate AR model. Structure and Infrastructure Engineering, 8(5), 459–472.
   Web of Science ®Google Scholar
• Kim, C.W., Kawatani, M., & Kim, K.B. (2005). Three-dimensional dynamic analysis for bridge-vehicle interaction with roadway roughness. Computers and Structures, 83, 1627–1645.
   Web of Science ®Google Scholar
• Kou, J.W., & DeWolf, J.T. (1997). Vibrational behavior of continuous span highway bridge – Influencing variables. Journal of Structural Engineering (ASCE), 123, 333–344.
   Web of Science ®Google Scholar
• Lou, P., & Zeng, Q. (2005). Formulation of equations of motion of finite element form for vehicle–track–bridge interaction system with two types of vehicle model. International Journal of Numerical Methods in Engineering, 62, 435–474.
   Web of Science ®Google Scholar
• Mulcahy, N.L. (1983). Bridge response with tractor-trailer vehicle loading. Earthquake Engineering and Structural Dynamics, 11, 649–665.
   Web of Science ®Google Scholar
• Ni, Y.Q., Zhou, H.F., Chan, K.C., & Ko, J.M. (2008). Modal flexibility analysis of cable-stayed bridge Ting Kau bridge for damage identification. Computer-Aided Civil and Infrastructure Engineering, 23(3), 223–236.
   Web of Science ®Google Scholar
• O'Callahan, J., Avitabile, P., & Riemer, R. (1989). System equivalent reduction expansion process. Proceedings of the 7th international modal analysis conference (pp. 29–37). Las Vegas, NV, January.
   Google Scholar
• OECD (1998). Dynamic interaction between vehicles and infrastructure experiment (DIVINE) (Technical Report DSTI/DOT/RTR/IR6(98)1/FINAL). Road Transport and Intermodal Linkages Research Programme (RTR), Author. http://www.oecd.org/sti/transport/roadtransportresearch/2754406.pdf.
   Google Scholar
• Rizos, P.F., Aspragatos, N., & Dimarogonas, A.D. (1990). Identification of crack location and magnitude in a cantilever beam from the vibration modes. Journal of Sound and Vibration, 138, 381–388.
   Web of Science ®Google Scholar
• Salawu, O.S. (1997). Detection of structural damage through changes in frequency: A review. Engineering Structures, 19, 718–723.
   Web of Science ®Google Scholar
• Shifrin, E.I., & Ruotolo, R. (1999). Natural frequencies of a beam with an arbitrary number of cracks. Journal of Sound and Vibration, 222, 409–423.
   Web of Science ®Google Scholar
• Siringoringo, D.M., & Fujino, Y. (2006). Observed dynamic performance of the Yokohama Bay Bridge from system identification using seismic records. Structural Control and Health Monitoring, 13, 226–244.
   Web of Science ®Google Scholar
• Tikhonov, A.V., & Arsenin, V.Y. (1977). Solutions of ill-posed problems. New York: Wiley.
   Google Scholar
• Wenzel, H., & Pichler, D. (2005). Ambient vibration monitoring. New York: John Wiley & Sons.
   Google Scholar
• Yang, S.I., Frangopol, D.M., & Neves, L.C. (2005). Optimum maintenance strategy for deteriorating bridge structures based on lifetime functions. Engineering Structures, 28, 196–206.
   Web of Science ®Google Scholar
• Yang, Y.B., Lin, C.W., & Yau, J.D. (2004). Extracting bridge frequencies from the dynamic response of a passing vehicle. Journal of Sound and Vibration, 272, 471–493.
   Web of Science ®Google Scholar