DocumentCode
2573410
Title
Research on Ductility of Unbonded Partially Prestressed Concrete Beam with High Strength Based on Network Model
Author
Hu Lili ; Wu Ke ; Liu Ming
Author_Institution
Sch. of Civil Eng. & Archit., Chang´an Univ., Xi´an, China
fYear
2009
fDate
2-3 May 2009
Firstpage
148
Lastpage
150
Abstract
In this paper, the neural network model is used to predict ductility of unbonded partially prestressed concrete beam with high strength. Meanwhile, kinds of ingredients of the beampsilas ductility are analyzed and it is obtained the curve between kinds of ingredients and displacement ductility ratio. The result indicates that displacement ductility ratio of the beam gradually reduces with unprestressed index, prestressed index, span depth ratio, and depth of section increased.
Keywords
beams (structures); concrete; ductility; neural nets; ductility; high strength concrete beam; neural network model; unbonded partially prestressed concrete beam; Artificial neural networks; Civil engineering; Computer architecture; Computer networks; Concrete; Neural networks; Neurons; Predictive models; Structural beams; Valves; ductility; high strength concrete beam; neural network; prestressed;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering Computation, 2009. ICEC '09. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3655-2
Type
conf
DOI
10.1109/ICEC.2009.15
Filename
5167112
Link To Document