Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87249
Title: Hysteresis modeling of reinforced concrete structures : state of the art
Authors: Sengupta, Piyali
Li, Bing
Keywords: Analytical Modeling
Degradation
Issue Date: 2017
Source: Sengupta, P., & Li, B. (2017). Hysteresis Modeling of Reinforced Concrete Structures: State of the Art. ACI Structural Journal, 114(1), 25-38.
Series/Report no.: ACI Structural Journal
Abstract: Hysteresis modeling of reinforced concrete (RC) structures requires a constitutive relationship capable of producing requisite strength and stiffness degradation and pinching at all displacement levels. Moreover, the hysteresis model must be generic, computationally efficient, and mathematically tractable so as to perform satisfactorily with random input functions. Thus, development of hysteresis models with the entire prerequisites may become stringent considering the numerous parameters contributing to the structural behavior. Hence, an extensive literature review is conducted to comprehend the hysteresis models of RC structures developed by various researchers. Then, a comprehensive synopsis of the state of the art along with the substantive findings is reported in the present paper. Thereafter, a comparative study between the existing hysteresis models and the experimental results of RC structural components under quasi-static cyclic loading is conducted to evaluate the performance of the hysteresis models.
URI: https://hdl.handle.net/10356/87249
http://hdl.handle.net/10220/45348
DOI: 10.14359/51689422
Rights: © 2017 American Concrete Institute. This paper was published in ACI Structural Journal and is made available as an electronic reprint (preprint) with permission of American Concrete Institute. The published version is available at: [http://dx.doi.org/10.14359/51689422]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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