Application in bridge structure

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Prediction of bridge deck condition rating based on artificial neural networks

An accurate prediction of the future condition of structural components is essential for planning the maintenance, repair, and rehabilitation of bridges. As such, this paper presents an application of Artificial Neural Networks (ANN) to predict future deck condition for highway bridges in the State of Alabama, the United States.

11p vifilm 24-09-2024 2 1 Download

Summary of Doctoral thesis Transport construction engineering: Durability assessment of concrete by water permeability and chloride diffusion with consideration to the stress factor, application in bridge structure

Determine the coefficient of water permeability, waterproofing marks, chloride ion diffusion coefficients of some types of concrete commonly used in bridge construction subjected to pre-compressive and direct-compression loads. Develop a predictive model for life expectancy using reinforced concrete bridges taking into consideration the effect of the load according to the criteria of initial corrosion of reinforcement in concrete. Application of life expectancy for the structure of reinforced concrete bridges.

27p kequaidan7 01-09-2020 30 2 Download