DocumentCode :
3253269
Title :
A study on evaluation system of bridge technical condition based on fuzzy synthetic judgment
Author :
Shengqian, Huang ; Yongqing, Yang
Author_Institution :
Sch. of Civil Eng., Southwest Jiaotong Univ., Chengdu, China
fYear :
2011
fDate :
22-24 April 2011
Firstpage :
4755
Lastpage :
4758
Abstract :
Bused on the fundamental principle of analytic hierarchy process, taking the simply supported reinforced concrete beam bridge as an example, the methods to select assess indexes and to establish evaluation model of bridge technical condition were expounded. The ways to determine the weights of indexes with credit degree method of group decision making in analytic hierarchy process, and to evaluate bridge technical condition with fuzzy synthetic judgment, were illustrated. In addition, the main functions and basic formations of the evaluation system for bridge technical condition, and the basic ideas to develop the related software were introduced. This system can provide decision basis for the maintenance of bridges and has extensive practicality. It can not only satisfy the technical condition evaluation for general bridges, but also add new evaluation models for other special bridges if necessary.
Keywords :
beams (structures); bridges (structures); decision making; fuzzy set theory; group theory; maintenance engineering; reinforced concrete; analytic hierarchy process; bridge maintenance; bridge technical condition; credit degree method; evaluation model; fuzzy synthetic judgment; group decision making; reinforced concrete beam bridge; Bridges; Civil engineering; Concrete; Decision making; Educational institutions; Indexes; Presses; bridge technical condition; evaluation model; evaluation system; fuzzy syntheic judgment; software development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location :
Lushan
Print_ISBN :
978-1-4577-0289-1
Type :
conf
DOI :
10.1109/ICETCE.2011.5776052
Filename :
5776052
Link To Document :
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