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...
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Language: | English |
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Wiley
2016-01-01
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Series: | Advances in Materials Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/2738265 |
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author | Mohammad M. Kashani Laura N. Lowes Adam J. Crewe Nicholas A. Alexander |
author_facet | Mohammad M. Kashani Laura N. Lowes Adam J. Crewe Nicholas A. Alexander |
author_sort | Mohammad M. Kashani |
collection | DOAJ |
description | 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, postbuckling behaviour, and low-cycle fatigue degradation of vertical reinforcement under cyclic loading. The basic material model is validated through comparison of simulated and observed responses for uncorroded RC columns. The model is used to explore the impact of corrosion on the inelastic response of corroded RC columns. |
format | Article |
id | doaj-art-d899447c618c4109a6bdbbfeeaf1df6e |
institution | Kabale University |
issn | 1687-8434 1687-8442 |
language | English |
publishDate | 2016-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Materials Science and Engineering |
spelling | doaj-art-d899447c618c4109a6bdbbfeeaf1df6e2025-02-03T06:08:36ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422016-01-01201610.1155/2016/27382652738265Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge PiersMohammad M. Kashani0Laura N. Lowes1Adam J. Crewe2Nicholas A. Alexander3Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UKDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195-2700, USADepartment of Civil Engineering, University of Bristol, Bristol BS8 1TR, UKDepartment of Civil Engineering, University of Bristol, Bristol BS8 1TR, UKA 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, postbuckling behaviour, and low-cycle fatigue degradation of vertical reinforcement under cyclic loading. The basic material model is validated through comparison of simulated and observed responses for uncorroded RC columns. The model is used to explore the impact of corrosion on the inelastic response of corroded RC columns.http://dx.doi.org/10.1155/2016/2738265 |
spellingShingle | Mohammad M. Kashani Laura N. Lowes Adam J. Crewe Nicholas A. Alexander Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers Advances in Materials Science and Engineering |
title | Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers |
title_full | Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers |
title_fullStr | Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers |
title_full_unstemmed | Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers |
title_short | Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers |
title_sort | computational modelling strategies for nonlinear response prediction of corroded circular rc bridge piers |
url | http://dx.doi.org/10.1155/2016/2738265 |
work_keys_str_mv | AT mohammadmkashani computationalmodellingstrategiesfornonlinearresponsepredictionofcorrodedcircularrcbridgepiers AT lauranlowes computationalmodellingstrategiesfornonlinearresponsepredictionofcorrodedcircularrcbridgepiers AT adamjcrewe computationalmodellingstrategiesfornonlinearresponsepredictionofcorrodedcircularrcbridgepiers AT nicholasaalexander computationalmodellingstrategiesfornonlinearresponsepredictionofcorrodedcircularrcbridgepiers |