Research on Lifetime Remaining of Bridge Based on Gray Theory

Ying Zhang; Hai Xin Huang; Shou Shan Cheng

doi:10.4028/www.scientific.net/AMR.945-949.1270

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Research on Lifetime Remaining of Bridge Based on...

Research on Lifetime Remaining of Bridge Based on Gray Theory

Abstract:

The method of predication is the key for evaluating lifetime remaining of existing bridge in bridge assessment. Improved Gray Model,which can supplement and make full use of new information in time,on the basis of Gray Theory is tried to be used here,and compared with traditional model by analysizing an engineering case.The results show that the improved model can not only improve the precision of prediction,but also comply with the nature of dynamic property of bridge lifetime remaining,i.e.,as the latest inspection information updates the predication value.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1270-1273

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1270

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Online since:

June 2014

Authors:

Ying Zhang, Hai Xin Huang, Shou Shan Cheng

Keywords:

Existing Bridge, Gray Theory, Lifetime Predication

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References

[1] H.L. Yang J.X. Liu and B. Zheng: Improved grey model GM (1, 1) and its application. Mathematics in practice and theory. Vol. 23(2011), pp.37-41.

Google Scholar

[2] J.L. Deng: Grey Predication and grey decision(Huazhong University of Science and Technology Press, Wuhan, China, 2005).

Google Scholar

[3] K. Kawamura, A. Miyamoto: Condition state evaluation of existing reinforced concrete bridges using neuron fuzzy hybrid system. Computers & Structures. Vol. 81(2003), p.1930-(1940).

DOI: 10.1016/s0045-7949(03)00213-x

Google Scholar

[4] Y.Y. Liu W.G. Yuan: Research on safety assessment of long span concrete filled steel tube arch bridge based on fuzzy neural network. China Journal of Highway and Transport. Vol. 17(2004), pp.55-58.

Google Scholar