Study On The Application Of Neural Network Model Of Bidding Decision For Highway Engineering

At present, a large number of bridges in China and abroad have entered the aging stage and all kinds of diseases, leading to the enormous potential safety problems on Transportation. A alarge number of old bridges should be enforced in order to increase their carrying capacity. among of this period the reinforced concrete Pangyo Reinforcement has been one of the key points a long time ago .This paper begins with the Mechanical properties and computational theory of various materialsbeen using large-scaleit Finite element nalysis software Ansys, It carry out a detailed simulation analysis about the present Reinforced concrete Pangyo paste carbon fiber, paste plate, and the section method. It not only meticulousiy analysis the construction processes and construction technology of reinforced method but also carefully Compara advantages and practicality of various reinforcement methods. Throughing modeling analysis of finite element, this paper put forward board bridges' reinforcement effect in the method of Pasting with different thickness of carbon fiber or steel and increasing cross-section of different sizes and . it bring forward Reasonable parameters of a variety of reinforcement and come out The corresponding conclusions and recommendation at last.The research results of this paper will make valuable effort of The reinforcement of reinforced concrete Pangyo.