Nonlinear Finite-Element Analysis of RC Bridge Columns under Torsion with and without Axial Compression
Publication: Journal of Bridge Engineering
Volume 21, Issue 2
Abstract
Finite-element (FE) modeling of RC structures under combined loading has received considerable attention in recent years. However, the combination of torsion and axial compression has been rarely studied in spite of its frequent occurrence in bridge columns under earthquake loading. This paper aims at creating a nonlinear FE model to predict the behavior of RC bridge columns under combined torsion and axial compression. A number of circular and square columns were analyzed. The developed FE model was calibrated on local and global behavior through comparison with test data. The overall torque–twist behavior of the members was captured well by the developed FE models. The predicted values of strain in the longitudinal and transverse reinforcement matched closely with the experimental results. An increase in transverse steel ratio was found to increase the torsional capacity and limit the damage of columns under torsion. It was further observed that at a low level of axial compression, the torsional capacity of columns is enhanced. In addition, the FE analysis showed a good agreement on the identification of the damage mechanism and the progression of failure. The shape of the cross section is found to play a major role in the distribution of torsional damage in the columns. Square columns exhibited a more localized damage due to presence of warping, whereas circular columns exhibited damage distributed along their length.
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Acknowledgments
This analytical work is carried out as part of the project funded by the Science and Engineering Research Board, the Department of Science and Technology, India. Their financial support is gratefully acknowledged. Experimental data used in this study were carried out as part of a project funded by the Network for Earthquake Engineering Simulation, the National Science Foundation, and the Network for Earthquake Engineering Simulation Research, the National University Transportation Centre, and the Intelligent Systems Centre of the Missouri University of Science and Technology. Their financial support during the second author’s Ph.D. work is also gratefully acknowledged.
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Published In
Journal of Bridge Engineering
Volume 21 • Issue 2 • February 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Sep 30, 2014
Accepted: Mar 31, 2015
Published online: Jun 19, 2015
Discussion open until: Nov 19, 2015
Published in print: Feb 1, 2016
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