Abstract
Performance–based seismic design and assessment guidelines promote nonlinear response history analysis of structures using analytical models that can realistically represent the behavioral characteristics of the structural members. For implementation and improvement of such performance–based methodologies, reliable analytical modeling approaches must be used to represent the cyclic nonlinear behavior of the individual structural members in the building, as well as their interaction in the structural system. In this chapter, examples of novel analytical modeling approaches are presented, for simulating the nonlinear response of reinforced concrete structural components, under reversed cyclic loading conditions. Accuracy of the presented modeling approaches are demonstrated via comparison of the model predictions with test results conducted on reinforced concrete wall, column, and panel specimens, with various geometries, material strengths, and reinforcement detailing characteristics. Continuing research efforts on further improvement of the models are also outlined.
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Acknowledgments
This chapter summarizes findings of several collaborative research studies, with contributions of Prof. John W. Wallace and Kristijan Kolozvari from UCLA, Prof. Leonardo M. Massone from University of Chile, Prof. Sharmin R. Chowdhury from Ahsanullah University of Science and Technology, and Denizhan Ulugtekin from Istanbul Technical University. Contribution of these researchers is gratefully acknowledged. The author would also like to thank Prof. John W. Wallace and Thien Tran from UCLA, Dr. Murat Melek from Ove Arup and Partners Inc., John H. Thomsen from SGH Inc., and Prof. Mohamad Mansour from University of Houston for providing experimental data.
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Orakcal, K. (2014). Towards Robust Behavioral Modeling of Reinforced Concrete Members. In: Ilki, A., Fardis, M. (eds) Seismic Evaluation and Rehabilitation of Structures. Geotechnical, Geological and Earthquake Engineering, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-00458-7_20
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DOI: https://doi.org/10.1007/978-3-319-00458-7_20
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