Different methodologies have been suggested in the literature to simulate the adverse impact of reinforcement corrosion on the non-linear structural behaviour of deteriorated reinforced concrete (RC) structures. The modelling methodology used, however, can significantly bias the predicted time-dependent structural behaviour of deteriorated structures. Considering the critical importance of numerical modelling in bridge maintenance scheduling and effective decision making, the influence of different modelling strategies on the anticipated time-variant structural performance of corroded concrete bridge columns is investigated. To this end, various simple and advanced modelling methodologies are evaluated. The effect of the considered modelling scenarios on the estimation of damage limit states, the sequence of multiple failure modes, structural capacity (both ductility and strength) and energy dissipation capacity of a benchmark circular RC column is evaluated over its service life. The results show that the modelling strategy significantly affects the predicted time-variant structural performance of the deteriorated structure.
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December 2022
Research Article|
May 27 2021
Modelling strategy impact on structural assessment of deteriorated concrete bridge columns Available to Purchase
Ebrahim Afsar Dizaj, BSc (Hons), MSc, PhD
Ebrahim Afsar Dizaj, BSc (Hons), MSc, PhD
Assistant Professor, Department of Civil Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran (ebrahim.afsardizaj@azaruniv.ac.ir)
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Publisher: Emerald Publishing
Received:
December 23 2020
Accepted:
March 15 2021
Online ISSN: 1751-7664
Print ISSN: 1478-4637
ICE Publishing: All rights reserved
2021
Proceedings of the Institution of Civil Engineers - Bridge Engineering (2022) 175 (4): 246–262.
Article history
Received:
December 23 2020
Accepted:
March 15 2021
Citation
Afsar Dizaj E (2022), "Modelling strategy impact on structural assessment of deteriorated concrete bridge columns". Proceedings of the Institution of Civil Engineers - Bridge Engineering, Vol. 175 No. 4 pp. 246–262, doi: https://doi.org/10.1680/jbren.21.00003
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