DocumentCode
3283798
Title
Approach to Grey Prediction Model of Structural State of Large Span Reinforced Concrete Continuous Beam Bridge
Author
Zhang Ying-Ying
Author_Institution
Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
fYear
2013
fDate
16-18 Jan. 2013
Firstpage
377
Lastpage
381
Abstract
The real-time monitoring, prediction and assessment of reinforced concrete large span continuous beam bridge structural state is the scientific basis for operation and maintenance of the large bridge. Here, with a bridge project as example, the grey model for predicting the healthy-year state of bridge structure is established through bridge structural state real-time monitoring and dynamic analysis of finite element structure. The model is calculated and verified with the measured results of the structural state of the said project, and the development of bridge structural state is predicted with year as unit, which will play a good actual guiding role.
Keywords
beams (structures); bridges (structures); condition monitoring; finite element analysis; grey systems; maintenance engineering; reinforced concrete; bridge maintenance; bridge structural state real-time monitoring; dynamic analysis; finite element structure; grey prediction model; healthy-year state prediction; large span reinforced concrete continuous beam bridge; Analytical models; Bridges; Data models; Mathematical model; Monitoring; Predictive models; Real-time systems; grey model; large span continuous beam bridge; prediction; real-time monitoring; structural state;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-4893-5
Type
conf
DOI
10.1109/ISDEA.2012.94
Filename
6457291
Link To Document