Evolution Characteristics of Existing Bridge Safety Based on Algebraic Topology and Image Processing

Article Preview

Abstract:

This paper investigates the evolution characteristics of existing bridge safety based on algebraic topology and image analysis. Through the calculation of betti numbers of cross section in bridge pier binarization images, evolution curve of betti numbers time series is observed, which reflects the changes in internal structure of bridge piers, due to the variation of external environment. The analysis results show that when the evolution trend of the betti number appears a smooth change, the bridge pier is in safe condition, and when betti number curve appears sudden fluctuations, the internal structure of piers presents some changes. This study has positive significance for long-term monitoring of bridge safety.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1210-1213

Citation:

Online since:

January 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Z.R. Wu. Detection techniques discussion of Highway Bridge: Road and Bridge Construction (2011) pp.320-321.

Google Scholar

[2] H. Li, W. Li, J. Zhang. Analysis on Safety of Removing the Closure Segment in a Prestressed Concrete Cable-stayed Bridge: Procedia Engineering Vol. 31 (2012), pp.464-473.

DOI: 10.1016/j.proeng.2012.01.1053

Google Scholar

[3] X. Li, H. Jiang, S. Dan. Study on Seismic Safety Performance for Continuous Girder Bridge based on Near-fault Strong Ground Motions: Procedia Engineering Vol. 45 (2012), pp.916-922.

DOI: 10.1016/j.proeng.2012.08.259

Google Scholar

[4] E.J. OBrien, D. Cantero, B. Enright, et al. Characteristic Dynamic Increment for extreme traffic loading events on short and medium span highway bridges: Engineering. Structures Vol. 32 (2010), pp.3827-3835.

DOI: 10.1016/j.engstruct.2010.08.018

Google Scholar

[5] L.C. Neves, D.M. Frangopol. Condition, safety and cost profiles for deteriorating structures with emphasis on bridges: Reliability Engineering & System Safety Vol. 89 (2005), pp.185-198.

DOI: 10.1016/j.ress.2004.08.018

Google Scholar

[6] Y. Okamoto, S. Nakamura, H. Tanaka, et al. Study on steel box girder bridges partly stiffened by CFT arch ribs: Journal of Constructional Steel Research Vol. 70 (2012), pp.28-35.

DOI: 10.1016/j.jcsr.2011.08.012

Google Scholar

[7] C.M. Mozos, A.C. Aparicio. Parametric study on the dynamic response of cable stayed bridges to the sudden failure of a stay, Part II: Bending moment acting on the pylons and stress on the stays: Engineering Structures Vol. 32 (2010), pp.3301-3312.

DOI: 10.1016/j.engstruct.2010.07.002

Google Scholar

[8] M.R. Kaloop, H. Li. Sensitivity and analysis GPS signals based bridge damage using GPS observations and wavelet transform: Measurement Vol. 44 (2011), pp.927-937.

DOI: 10.1016/j.measurement.2011.02.008

Google Scholar

[9] A. Bayraktar, A.C. Altunişik, M. Özcan. Safety assessment of structures for near-field blast-induced ground excitations using operational modal analysis: Soil dynamics and earthquake engineering Vol. 39 (2012), pp.23-36.

DOI: 10.1016/j.soildyn.2012.02.005

Google Scholar

[10] J. Vičan, M. Sýkora. Study of Time-Dependent Corrosion Influences on the Bridge Deck Resistance: Procedia Engineering Vol. 40 (2012), pp.475-480.

DOI: 10.1016/j.proeng.2012.07.128

Google Scholar

[11] S.W. Kim, N.S. Kim. Dynamic Characteristics of Suspension Bridge Hanger Cables Using Digital Image Processing: NDT & E International Vol. 59 (2013), pp.25-33.

DOI: 10.1016/j.ndteint.2013.05.002

Google Scholar

[12] H.N. Ho, K.D. Kim, Y.S. Park, et al. An Efficient Image-Based Damage Detection for Cable Surface in Cable-Stayed Bridges: NDT & E International Vol. 58 (2013), pp.18-23.

DOI: 10.1016/j.ndteint.2013.04.006

Google Scholar

[13] W. Mingang, T. Yonggang. Target Recognition of Infrared Bridge Image Based on Morphological Operator: Procedia Engineering Vol. 24 (2011), pp.490-494.

DOI: 10.1016/j.proeng.2011.11.2682

Google Scholar

[14] T. Khan, K. Wahid. Universal bridge interface for DVP-compatible image sensors: Microprocessors and Microsystems Vol. 35 (2011), pp.547-556.

DOI: 10.1016/j.micpro.2011.05.008

Google Scholar

[15] M. Gameiro, K. Mischaikow and T. Wanner, Evolution of Pattern Complexity in the Cahn- Hilliard Theory of Phase Separation, Acta Materialia 53 (2005) 693-704.

DOI: 10.1016/j.actamat.2004.10.022

Google Scholar

[16] T. Kaczynski, K. Mischaikow, and M. Mrozek, Computational Homology, Springer-Verlag, New York, (2004).

Google Scholar

[17] H. Wang, J.X. Xu, S.B. Wang, H. Sun. An existing bridge structure safety assessment method patent, (2009), ZL200910218328.

Google Scholar