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Journal of Earthquake Engineering Volume 26, 2022 - Issue 8
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Hysteretic Model of Reinforced Concrete (RC) Bridge Columns in Saline Soil Environment

Jianjun Zhaoa Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, China;b Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, ChinaView further author information
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Changwang Yanc School of Mining Technology, Inner Mongolia University of Technology, Hohhot, China;d School of Civil Engineering, Inner Mongolia University of Technology, Hohhot, ChinaCorrespondence[email protected]
View further author information
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Shuguang Liuc School of Mining Technology, Inner Mongolia University of Technology, Hohhot, China;d School of Civil Engineering, Inner Mongolia University of Technology, Hohhot, ChinaView further author information
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Ju Zhangc School of Mining Technology, Inner Mongolia University of Technology, Hohhot, ChinaView further author information
&
Shuang Lia Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, China;b Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, ChinaView further author information
Pages 3864-3884 | Received 09 Dec 2019, Accepted 05 Sep 2020, Published online: 21 Sep 2020
 
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ABSTRACT

A theoretical calculation method for RC bridge column hysteretic model in saline soil environment was proposed. The effects of axial compression ratio and corrosion rate were considered in the test. Based on the failure process of the specimen, a trilinear skeleton curve model was proposed and theoretically calculated. Through the regression analysis of the test results, the unloading stiffness of the specimen in the whole loading process is obtained, and the hysteretic model of RC bridge column is determined. Compared with the test results, it is found that the degree of agreement with the test results is high.

Additional information

Funding

This study was funded by the following fund projects: National Natural Science Foundation of China (51368040), Inner Mongolia Natural Science Foundation Project (2015MS0505), Inner Mongolia University Youth Science and Technology Talent Program (No: NJYT-14-B08). Their financial support is highly appreciated.

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