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Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers
A numerical model is presented that enables simulation of the nonlinear flexural response of corroded reinforced concrete (RC) components. The model employs a force-based nonlinear fibre beam-column element. A new phenomenological uniaxial material model for corroded reinforcing steel is used. This model accounts for the impact of corrosion on buckling strength, post-buckling behaviour and low-cycle fatigue degradation of vertical reinforcement under cyclic loading. The basic material model is validated through comparison of simulated and observed response for uncorroded RC columns. The model is used to explore the impact of corrosion on the inelastic response of corroded RC columns.
Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers
A numerical model is presented that enables simulation of the nonlinear flexural response of corroded reinforced concrete (RC) components. The model employs a force-based nonlinear fibre beam-column element. A new phenomenological uniaxial material model for corroded reinforcing steel is used. This model accounts for the impact of corrosion on buckling strength, post-buckling behaviour and low-cycle fatigue degradation of vertical reinforcement under cyclic loading. The basic material model is validated through comparison of simulated and observed response for uncorroded RC columns. The model is used to explore the impact of corrosion on the inelastic response of corroded RC columns.
Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers
Kashani, Mehdi M (author) / Lowes, Laura N (author) / Crewe, Adam J (author) / Alexander, Nicholas A (author)
2016-06-14
Kashani , M M , Lowes , L N , Crewe , A J & Alexander , N A 2016 , ' Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers ' , Advances in Materials Science and Engineering , vol. 2016 , 2738265 . https://doi.org/10.1155/2016/2738265
Article (Journal)
Electronic Resource
English
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