A lumped plasticity model for corrosion damaged reinforced concrete columns
A lumped plasticity model for corrosion damaged reinforced concrete columns
Chloride-induced corrosion is one of the most important reasons for the strength degradation of reinforced concrete (RC) bridges. As the piers of RC bridges are important element to sustain lateral loads, corrosion of columns in pier may lead to significant degradation. So it is necessary to have an appropriate evaluation technique to assess the effect of corrosion on the RC columns behaviour. Numerical modelling approaches which are based on the concentrated plastic hinge can predict structural behaviour rapidly and with acceptable accuracy which are highly regarded by engineers. In this study, a numerical approach is conducted to develop an empirical lumped plasticity model for corroded RC column elements. 13440 RC column specimens, including corroded and uncorroded, rectangular, and circular cross sections are analysed under monotonic and cyclic loading. Lumped plasticity model is extracted based on the regression of the cyclic and monotonic analysis results. Finally, calibrated model is verified through experimental and out-of-parametric study models with high accuracy. The new developed plastic hinge model can be used to model and analyse corroded bridge columns rapidly. The result can be appropriate to be employed for modelling in the further assessment such as fragility analysis or rehabilitation.
bridges, concrete structures, Corrosion
Roohbakhsh, Hamed
2119f5e5-527d-4b20-89de-fa5a805df257
Kalantari, Afshin
d0563df8-9bcf-4219-a034-da78aa50b633
Kashani, Mohammad M.
d1074b3a-5853-4eb5-a4ef-7d741b1c025d
Sharma, Akanshu
30f0492d-8ef7-4f4d-bd2f-0cfa2427abcc
Roohbakhsh, Hamed
2119f5e5-527d-4b20-89de-fa5a805df257
Kalantari, Afshin
d0563df8-9bcf-4219-a034-da78aa50b633
Kashani, Mohammad M.
d1074b3a-5853-4eb5-a4ef-7d741b1c025d
Sharma, Akanshu
30f0492d-8ef7-4f4d-bd2f-0cfa2427abcc
Roohbakhsh, Hamed, Kalantari, Afshin, Kashani, Mohammad M. and Sharma, Akanshu
(2022)
A lumped plasticity model for corrosion damaged reinforced concrete columns.
Proceedings of the Institution of Civil Engineers: Bridge Engineering, [2100006].
(doi:10.1680/jbren.21.00006).
Abstract
Chloride-induced corrosion is one of the most important reasons for the strength degradation of reinforced concrete (RC) bridges. As the piers of RC bridges are important element to sustain lateral loads, corrosion of columns in pier may lead to significant degradation. So it is necessary to have an appropriate evaluation technique to assess the effect of corrosion on the RC columns behaviour. Numerical modelling approaches which are based on the concentrated plastic hinge can predict structural behaviour rapidly and with acceptable accuracy which are highly regarded by engineers. In this study, a numerical approach is conducted to develop an empirical lumped plasticity model for corroded RC column elements. 13440 RC column specimens, including corroded and uncorroded, rectangular, and circular cross sections are analysed under monotonic and cyclic loading. Lumped plasticity model is extracted based on the regression of the cyclic and monotonic analysis results. Finally, calibrated model is verified through experimental and out-of-parametric study models with high accuracy. The new developed plastic hinge model can be used to model and analyse corroded bridge columns rapidly. The result can be appropriate to be employed for modelling in the further assessment such as fragility analysis or rehabilitation.
Text
Roohbakhsh et al_Accepted Manuscript
- Accepted Manuscript
More information
Accepted/In Press date: 21 March 2022
e-pub ahead of print date: 23 May 2022
Additional Information:
Publisher Copyright:
© 2022 ICE Publishing: All rights reserved.
Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.
Keywords:
bridges, concrete structures, Corrosion
Identifiers
Local EPrints ID: 457428
URI: http://eprints.soton.ac.uk/id/eprint/457428
ISSN: 1478-4637
PURE UUID: 5ad0f77c-45e2-4445-900f-cd43a153b7c2
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Date deposited: 07 Jun 2022 16:58
Last modified: 17 Mar 2024 03:46
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Contributors
Author:
Hamed Roohbakhsh
Author:
Afshin Kalantari
Author:
Akanshu Sharma
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