Long Span Prestressed Concrete Continuous Rigid-Frame Bridge ANN Construction Control

Geng Feng Ren; Cun Jun Zou; Yue Xu

doi:10.4028/www.scientific.net/AMM.204-208.2261

Paper Titles

Calculation of Horizontal Rigidity of the Plate Type Elastomeric Pad Bearing for Highway Bridge
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Test Research on Behavior and Spatial Finite Element Analysis of Equal Section Catenary Double Empty Arch Bridge
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Experimental Study on Permeability and Chloride Resistance Properties of Concrete in Yu-Cheng Bridge
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Study on the Splicing Method between New and Old Bridges
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Long Span Prestressed Concrete Continuous Rigid-Frame Bridge ANN Construction Control
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Influence Analysis of Rigid Steel Framework on the Closure Section of the Bridge by Cantilever Construction Method
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Key Technologies of Construction and Control of Arch Cantilever Casting for Mupeng Bridge
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 204-208Long Span Prestressed Concrete Continuous...

Long Span Prestressed Concrete Continuous Rigid-Frame Bridge ANN Construction Control

Abstract:

Based on the theory of ANN (Artificial Neural Network),The paper raised the method of construction control, and introduced the common forecasting method. According to the characteristic of ANN itself and the complexity of factors which influence the elevation, the paper analysed the influence aspects of ANN. On the promise of bridge construction precision, the paper raised section measure、elasticity model、temperature、delay of construction and cantilever for neural network’s input vector in bridge construction process. With the help of Graphical User Interface, built ANN, made the forecast function in the bridge construction into reality. Introduce the theory of Artificial Neural Network(ANN) into long span prestressed concrete continuous rigid-frame bridge construction control.

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Periodical:

Applied Mechanics and Materials (Volumes 204-208)

Pages:

2261-2264

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.204-208.2261

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Online since:

October 2012

Authors:

Geng Feng Ren, Cun Jun Zou, Yue Xu

Keywords:

Artificial Neural Network (ANN), Bridge Engineering, Construction Control, Continuous Rigid-Frame Bridge, Elevation Forecast

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