Title :
Approach to Grey Prediction Model of Structural State of Large Span Reinforced Concrete Continuous Beam Bridge
Author_Institution :
Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
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;
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
DOI :
10.1109/ISDEA.2012.94