A Comprehensive Fuzzy Method in Seismic Disaster Prediction of Urban Rail Transit Girder Bridges

Abstract:

Based on the earthquake disaster investigation of 123 reinforced concrete girder bridges, altogether eight factors that were the building year, seismic fortification intensity, soil site category, failure extent of ground soil, superstructure of bridge, constructional measures for seismic resistance, heights of the piers and abutments, and the bridge spans, those affecting the seismic performance of bridges were considered in the seismic disaster prediction. According to the principle of maximum degree of membership, the fuzzy evaluation subsets for the different influential factors were determined by empirical statistic method. The corresponding weight coefficients were presented based on the statistical analysis of the seismic damage of 123 existing bridges. Relying on the developed prediction model, a Fortran based calculating program was developed to predicting the seismic disasters of the girder bridges in urban rail transit. It was shown that the method proposed in this paper was feasible through the comparing analysis of the actual seismic damages of the 123 existing bridges. The Fortran program could be planted to the existing GIS system to predict the arbitrary girder bridge in urban rail transit

• Periodical: Advanced Materials Research (Volume 668)
• Pages: 490-494
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.668.490
• Online since: March 2013
• Authors: Yong Jun Ni, Jin Xin Yan, Hui Jiang
• Keywords: Comprehensive Fuzzy Method, Girder Bridge, Seismic Disaster Prediction, Urban Rail Transit

References

[1] Dimitrios V. (2002). Seismic performance, capacity and reliability of structures as seen through incremental dynamic analysis, Doctor Degree Dissertation for Stanford university.

[2] Kilar V. and Fajfar P. (1997). Simplified Push-over analysis of building structures, Earthquake Engineering and Structural Dynamics, 26: 2, 233-249.

DOI: 10.1002/(sici)1096-9845(199702)26:2<233::aid-eqe641>3.0.co;2-a

[3] Liu Chunguang, Zhang lihua (2008). The application of genetic algorithms and BP neural network to seismic damage prediction of bridges. Earthquake Engineering and Engineering Vibration. 28: 1, 139-145(in Chinese).

[4] Liu Xingye, Wang Haichao and Deng Wenqiao. (1996). Application of Artificial Neural Network in the Seismic Disaster Prediction of Highway Engineeting, Earthquake Engineering and Engineering Vibration, 16: 4, 97-103(in Chinese).

[5] Wang Dongsheng and Feng Qimin. (2001). Prediction Method of Seismic Disaster of Bridges. Journal of Natural Disaster. 10: 3, 13-117(in Chinese).

[6] Wu Hao. (2009). Research on Seismic Disaster Prediction of Urban Rail Transit Bridges, Dissertation for Master Degree of Beijing Jiaotong University(in Chinese).

[7] Wu Xin, Ni Yongjun, Wu Hao and Jiang Hui, Seismic Disaster Prediction of Urban Rail Transit Bridges Based on Neural Network Method, Key Technologies of Railway Engineering－High-speed Railway, Heavy Haul Railway and Urban Rail Transit, China Railway Publishing House[A](Edited by F. CHEN, L. GAO & Y. BAI), 2010. 8, 695-699, ISBN 978-7-113-11751-1.

DOI: 10.1061/41127(382)166

[8] Zhao Chenggang, Zhuang Rui, Du Xiuli. (1995). prediction of earthquake damage for road system in the peral river delta area. South China Journal of Seismology. 15: 3, 34-39. (in Chinese).

[9] Zhu Meizhen. (1990). Seismic Disaster Prediction of Highway Bridges, Proceeding of the Third National Conference on Earthquake Engineering, Dalian: Dalian University of Technology Press, 1797-1802(in Chinese).