Security Risk Evaluation on Long Span Bridge Structure Based on Grey Fuzzy Theory

Abstract:

In order to evaluate security risks of long span bridge structure more scientifically and accurately. According to the principles of scientific, integrity, this paper applies grey-fuzzy theory to divide the security risk factors of long span bridge structure into quality cable, tower concrete foundations, weld cracks, expansion joints, and bridge deck pavement condition five types. First, according to the evaluation rules, use expert scoring method to score the individual evaluation index of long span bridge structure, fraction is in 0~100.Analyze the expert scoring by using grey theory, substitute the score into albino function, calculate grey statistics, and form weight matrix. This method can be used for comprehensive evaluation of security risks assessment of long span bridge structure.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 1005-1008
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.1005
• Online since: October 2013
• Authors: Zi Hong Yin, Bo Yu, Jing Lin
• Keywords: Grey Fuzzy Theory, Security Risk Evaluation, Structure of Long Span Bridge

References

[1] Guofan Zhao, Weiliang Jin, Jin Xin Gong. The theory of Structural reliability [M]. Beijing: China Building Industry Press, 2000. 12 20(in Chinese).

[2] Guangliang Sun. A multihierarchical comprehensive evaluation model and its application [J]. System Engineering, 1996, 14 (2): 64 67(in Chinese).

[3] Youzhi Wang, Hongru Xu, Feng Ren. Safety based evaluation system research and exploit of reinforced concrete girder bridge [J]. Highway traffic science and technology, 2002, 19(1): 51 54(in Chinese).

[4] Zhenyu Zhao, Yongmao Xu. Basis and application of neural network and fuzzy theory [M]. Beijing: Qinghua University press, 1996. 19, 31(in Chinese).

[5] Yongping Wang, Baoyin Zhang, Shunren Zhang. Expert system for comprehensive assessment to bridge service property using fussy theory [J]. China Journal of highway and transport, 1996, 9 (2): 62 67(in Chinese).

[6] Zengren Yuan. Artificial neural network and its application [M]. Beijing: Qinghua University press, 1999. 53, 58(in Chinese).

[7] Jianren Zhang, Yang Liu, Fuyou Xu. Structural reliability theory and its application in bridge engineering [M]. Beijing: Renmin Communications Press, 2003(in Chinese).

[8] Julong Deng. Grey system theory [M]. Wuhan: Huazhong University of science and Technology Press, 2000215-220(in Chinese).

[9] Xinbo Zhang, Ying Lu. Grey fuzzy comprehensive evaluation based on degree of incidence [J]. Practice and understanding of mathematics, 2008, 38 (21): 156-160(in Chinese).

[10] Guangzhi Bu, Yuwen Zhang. Grey fuzzy comprehensive evaluation based on grey fuzzy relation [J]. Theory and practice of system engineering, 2002, 22 (4): 141-144(in Chinese).

[11] Weixiang Xu, Quanshou Zhang. Integrated algorithm based on grey theory and fuzzy mathematics. The theory and practice of system engineering, 2001, 21 (4): 114- 119(in Chinese).

[12] Qishan Zhang. Difference information theory with Grey Hazy set: [Dissertation]. Wuhan: Huazhong University of science and technology, 1996(in Chinese).