[1] Guo Tong, Li Aiqun, Zhao Daliang, Wang Hao, et al. Synthetical condition assessment of long span suspension bridgebased on closeness degree and FAHP [J]. Journal of Southeast University (English Edition), 2007, 23 (2): 261-265. [doi:10.3969/j.issn.1003-7985.2007.02.022]

Copy

Synthetical condition assessment of long span suspension bridgebased on closeness degree and FAHP()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

23

Issue:

2007 2

Page:

261-265

Research Field:

Traffic and Transportation Engineering

Publishing date:

2007-06-30

Info

Title:

Synthetical condition assessment of long span suspension bridgebased on closeness degree and FAHP

Author(s):

Guo Tong;  Li Aiqun;  Zhao Daliang;  Wang Hao

School of Civil Engineering, Southeast University, Nanjing 210096, China

Keywords:

pattern recognition;  fuzzy analytic hierarchy process;  closeness degree;  synthetical condition assessment;  suspension bridge

PACS:

U448.25

DOI:

10.3969/j.issn.1003-7985.2007.02.022

Abstract:

Based on the theory of pattern recognition, the concept of closeness degree between fuzzy sets is brought into the condition assessment of long span bridges.Using the fuzzy analytic hierarchy process(FAHP), a mathematical model of a multi-objective assessment of a long span suspension bridge is set up.An example is given to show the procedure in the synthetical condition assessment of the Runyang Suspension Bridge, which includes the hierarchical division, the definition of factor weights and fuzzy membership functions, and the calculation of closeness degrees, etc.The assessment combines both the data from the health monitoring system and the manual tests.The classification of evaluation items as well as the calculation of deterministic and nondeterministic items is presented.Compared with the traditional method of point rating, this method can better describe the discreteness of monitoring data and the fuzziness in the condition assessment.

References:

[1] Ugwu O O, Kumaraswamy M M, Wong A, et al.Sustainability appraisal in infrastructure projects(SUSAIP).Part 1:Development of indicators and computational methods[J].Automation in Construction, 2006, 15(2):239-251.
[2] Ugwu O O, Kumaraswamy M M, Wong A, et al.Sustainability appraisal in infrastructure projects(SUSAIP).Part 2:A case study in bridge design[J].Automation in Construction, 2006, 15(2):229-238.
[3] Mikhailov L, Tsvetinov P, Evaluation of services using a fuzzy analytic hierarchy process[J].Applied Soft Computing, 2004, 5(1):23-33.
[4] Karamouz Mohammad, Kerachian Reza, Zahraie Banafsheh, et al.Monitoring and evaluation scheme using the multiple criteria decision making technique:application to irrigation projects[J].Journal of Irrigation and Drainage, 2002, 128(6):341-350.
[5] Ziara Mohamed, Nigim Khaled, Enshassi Adnan, et al.Strategic implementation of infrastructure priority projects:case study in Palestine[J].Journal of Infrastructure System, 2002, 8(1):2-11.
[6] Zhao Zhiye, Chen Chuanyu.A fuzzy system for concrete bridge damage diagnosis[J].Computers & Structures, 2002, 80(7):629-641.
[7] Xiao Ciyuan.Engineering fuzzy system [M].Beijing:Science Press, 2004.(in Chinese)
[8] Guo Tong.Research on applied condition assessment method and its application in long span suspension bridge [D].Nanjing:College of Civil Engineering of Southeast University, 2005.(in Chinese)
[9] JTG H11—2004.Code for maintenance of highway bridge and culverts[S].Beijing: China Communications Press, 2004.(in Chinese)
[10] Lan Hai.Synthetic monitoring and condition assessment system for long-span cable-stayed bridge[D].Shanghai: Department of Bridge Engineering of Tongji University, 2005.(in Chinese)

Memo

Memo:

Biography: Guo Tong(1977—), male, doctor, lecturer, civilcenter@163.com.

Common functions