Research on Ductility of Unbonded Partially Prestressed Concrete Beam with High Strength Based on Network Model

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.