Seismic response of steel fibre reinforced concrete beam-column joints

Article

Abbas, A., Syed Mohsin, Sharifah M. and Cotsovos, Demetrios M. 2014. Seismic response of steel fibre reinforced concrete beam-column joints. Engineering Structures. 59 (Feb14), pp. 261-283.
AuthorsAbbas, A., Syed Mohsin, Sharifah M. and Cotsovos, Demetrios M.
Abstract

The present research work aims to investigate numerically the behaviour of steel fibre
reinforced concrete beam-column joints under seismic action. Both exterior and interior joint
types were examined and 3D nonlinear finite element analyses were carried out using
ABAQUS software. The joints were subjected to reversed-cyclic loading, combined with a
constant axial force on the column representing gravity loads. The joints were initially
calibrated using existing experimental data – to ascertain the validity of the numerical model
used – and then parametric studies were carried out using different steel fibre ratios coupled
with increased spacing of shear links. The aim was to assess the effect of introducing steel
fibres into the concrete mix in order to compensate for a reduced amount of conventional
transverse steel reinforcement and hence lessen congestion of the latter. This is particularly
useful for joints designed to withstand seismic loading as code requirements (e.g. Eurocode
8) lead to a high amount of shear links provided to protect critical regions. The spacing
between shear links was increased by 0%, 50% and 100%, whilst the fibre volume fraction (Vf)
was increased by 0%, 1%, 1.5%, 2% and 2.5%. Potential enhancement to ductility, a key
requirement in seismic design, was investigated as well as potential improvements to energy
absorption and confinement. The work also examined key structural issues such as strength,
storey drift, plastic hinges formation and cracking patterns.

Keywordssteel fibres; beam-column joints; finite-element analysis
JournalEngineering Structures
Journal citation59 (Feb14), pp. 261-283
ISSN0141-0296
Year2014
PublisherElsevier
Accepted author manuscript
License
CC BY-NC-ND
Web address (URL)http://www.sciencedirect.com/science/article/pii/S0141029613005257
Publication dates
PrintFeb 2014
Publication process dates
Deposited18 Nov 2013
Copyright informationNOTICE: this is the author’s version of a work that was accepted for publication in Engineering Structures. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version will be published in Engineering Structures with the DOI:10.1016/j.engstruct.2013.10.046
Permalink -

https://repository.uel.ac.uk/item/85qvv

Log in to edit

Download files

Accepted author manuscript
2013_Abbas_etal_Seismic-response.pdf
License: CC BY-NC-ND

  • 226
    total views
  • 565
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Rethinking social housing in terms of environmental sustainability: An empirical analysis
Emekci, S. and Abbas, A. 2023. Rethinking social housing in terms of environmental sustainability: An empirical analysis. Građevinar. 75 (11), pp. 1083-1093. https://doi.org/10.14256/JCE.3814.2023
Constitutive model for plain and fiber-reinforced lightweight concrete under compression
Al-Naimi, H. and Abbas, A. 2023. Constitutive model for plain and fiber-reinforced lightweight concrete under compression. Structural Concrete. 24 (6), pp. 7625-7647. https://doi.org/10.1002/suco.202200646
Machine Learning-Based Prediction of Compressive Performance in Circular Concrete Columns Confined with FRP
Dhakal, N., Abbas, A., Ahmed, H. and Sharif, S. 2023. Machine Learning-Based Prediction of Compressive Performance in Circular Concrete Columns Confined with FRP. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391832
Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research
Khairi, S., Sharif, S., Apeagyei, A. and Abbas, A. 2023. Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391677
Predicting Shear Capacity of RC Beams Strengthened with NSM FRP Using Neural Networks
Guler, O., Ahmed, H., Abbas, A. and Sharif, S. 2023. Predicting Shear Capacity of RC Beams Strengthened with NSM FRP Using Neural Networks. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391555
Development of Low-Carbon Lightweight Concrete Using Pumice as Aggregate and Cement Replacement
Abbas, A., Mahadevan, M., Prajapati, S., Ayati, B. and Kanavaris, F. 2023. Development of Low-Carbon Lightweight Concrete Using Pumice as Aggregate and Cement Replacement. SynerCrete'23 - International RILEM conference on synergising expertise towards sustainability and robustness of cement-based materials and concrete structures. Milos, Greece 14 - 16 Jun 2023 Springer. https://doi.org/10.1007/978-3-031-33187-9_27
Potential of Connected Fully Autonomous Vehicles in Reducing Congestion and Associated Carbon Emissions
Neufville, R., Abdalla, H. and Abbas, A. 2022. Potential of Connected Fully Autonomous Vehicles in Reducing Congestion and Associated Carbon Emissions. Sustainability. 14 (Art. 6910). https://doi.org/10.3390/su14116910
Reducing embodied carbon dioxide of structural concrete with lightweight aggregate
Kanavaris, F., Gibbons, O., Walport, E., Shearer, E., Abbas, A., Orr, J. and Marsh, B. 2021. Reducing embodied carbon dioxide of structural concrete with lightweight aggregate. Proceedings of the ICE - Engineering Sustainability. 175 (2), pp. 75-83. https://doi.org/10.1680/jensu.21.00021
Reducing the carbon footprint of lightweight aggregate concrete
Kanavaris, F., Gibbons, O., Walport, E., Shearer, E., Abbas, A., Orr, J. and Marsh, B. 2020. Reducing the carbon footprint of lightweight aggregate concrete. LowC3 2020. Online 05 - 06 Oct 2020 LowC3, University of Kentucky.
Ductility of Steel-Fibre-Reinforced Recycled Lightweight Concrete
Al-Naimi, H. and Abbas, A. 2019. Ductility of Steel-Fibre-Reinforced Recycled Lightweight Concrete. COMPDYN 2019: 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. Crete, Greece. 24 - 26 Jun 2019 Institute of Structural Analysis and Antiseismic Research. pp. 4009-4023 https://doi.org/10.7712/120119.7203.19035
Behaviour of steel-fibre-reinforced concrete beams under high-rate loading
Abbas, A., Cotsovos, Demetrios M. and Behinaein, Pegah 2018. Behaviour of steel-fibre-reinforced concrete beams under high-rate loading. Computers and Concrete, An International Journal. 22 (3), pp. 337-353. https://doi.org/10.12989/cac.2018.22.3.337
A simplified finite element model for assessing steel fibre reinforced concrete structural performance
Abbas, A., Syed Mohsin, Sharifah M. and Cotsovos, Demetrios M. 2016. A simplified finite element model for assessing steel fibre reinforced concrete structural performance. Computers and Structures. 173, pp. 31-49. https://doi.org/10.1016/j.compstruc.2016.05.017
Shear behaviour of steel-fibre-reinforced concrete simply supported beams
Abbas, A., Syed Mohsin, Sharifah M., Cotsovos, Demetrios M. and Ruiz-Teran, Ana M. 2014. Shear behaviour of steel-fibre-reinforced concrete simply supported beams. Proceedings of the ICE - Structures and Buildings. 167 (9), pp. 544-558.
Statically-Indeterminate SFRC Columns under Cyclic Loads
Abbas, A., Mohsin, Sharifah, Cotsovos, Demetrios and Ruiz-Teran, Ana 2014. Statically-Indeterminate SFRC Columns under Cyclic Loads. Advances in Structural Engineering. 17 (10), pp. 1403-1418.