Subscribe Now Subscribe Today
Research Article

Bridge Safety Assessment Based on Complex System Theory and Nonlinear Time Series

Jianxi Yang, Lizhang Qian and Qingyang Liu

This study presents a method of safety assess of existing bridges based on Complex System Theory and Nonlinear Time Series. Bridge Structure System has characteristics of complex system. Such as dissipation, fractals, chaos and so on. Chaotic nonlinear time series of monitoring information of ASCE Benchmark and Masangxi bridge. By G-P and C-C algorithms to extract the largest Lyapunov Exponent and Embedding Dimension. The results showed that: the structural system of Correlation Dimension greater than2 and not an integer, the largest Lyapunov Exponent is greater than 0, Indicating that the systems exist Chaotic Phenomena. So, Complex System Theory is using for bridge system.

Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

  How to cite this article:

Jianxi Yang, Lizhang Qian and Qingyang Liu, 2013. Bridge Safety Assessment Based on Complex System Theory and Nonlinear Time Series. Journal of Applied Sciences, 13: 1906-1910.

DOI: 10.3923/jas.2013.1906.1910


He, J. and W. Yuan, 2000. Study of bridge structure by system theory. Proceedings of the 14th Annual Meeting on China Civil Engineering Society Institute of Bridge and Structural Engineering, August 2000, Beijing, China -.

Johnson, E., H. Lam, L. Karafygiotis and J. Beck, 2000. A benchmark problem for structure health monitoring and damage detection. Proceedings of the Engineering Mechanics Specialty Conference, June 28-30, 2000, Austin, Texas -.

Johnson, E., H. Lam, L. Katafygiotis and J. Beck, 2004. Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data. J. Eng. Mech., 130: 3-15.
CrossRef  |  Direct Link  |  

Lin, G., 2011. Nonlinear Evolution Equations. Yunnan University Press, USA.

Liu, W.Y., W.Q. Zhu and Z.L. Huang, 2001. Effect of bounded noise on chaotic motion of doffing oscillator under parametric excitation. Choas Solitons Fractals, 12: 527-537.
CrossRef  |  Direct Link  |  

Qin, S., 2000. Preliminary discussions of Instability during rock formation mechanism of dissipative structures. Chin. J. Rock Mech. Eng., 19: 265-269.

Shen, X., H. Gang and J. Lu, 1987. Dissipative Structure Theory. Shanghai People's Publishing House, USA.

Symonds, P.S. and J.Y. Lee, 1995. Fractal dimensions in elastic-plastic beam dynamics. J. Applied Mech., 62: 523-526.
CrossRef  |  Direct Link  |  

Wang, L., 2001. Non linear dynamics analysis of cable stayed bridge. M.Sc. Thesis, Hunan University.

Wu, Z., 1996. Fractal theory in slope stability analysis. Chin. J. Hydraulic Eng., 4: 79-82.

Yang, J. and J. Zhou, 2010. Non-linear chaotic analysis of bridge health monitoring information based on phase space correlation dimension. Proceedings of the 3rd International Congress on Image and Signal Processing Volume 9, October 16-18, 2010, Yantai, pp: 4096-4100.

Yang, J., 2011. Based on the theory of nonline chaotic dynamics analysis of the existing bridge condition. Chong Qing Jiao Tong University.

©  2019 Science Alert. All Rights Reserved