Full Text:   <709>

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CLC number: U441.2

On-line Access: 2020-04-10

Received: 2019-12-04

Revision Accepted: 2020-03-23

Crosschecked: 2020-03-31

Cited: 0

Clicked: 1300

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Qian Feng

https://orcid.org/0000-0002-5152-8599

Rong-qiao Xu

https://orcid.org/0000-0002-0005-9737

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Journal of Zhejiang University SCIENCE A 2020 Vol.21 No.4 P.280-293

http://doi.org/10.1631/jzus.A1900616


Numerical simulation of partial-interaction load-deflection behavior of corroded reinforced concrete beams based on a segmental approach and evaluation of reinforcement corrosion level


Author(s):  Qian Feng, Guan-nan Wang, Yong-ping Zhang, Rong-qiao Xu

Affiliation(s):  College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   xurongqiao@zju.edu.cn

Key Words:  Reinforced concrete, Corrosion, Partial interaction, Load-deflection, Tension-stiffening, Bond-slip


Qian Feng, Guan-nan Wang, Yong-ping Zhang, Rong-qiao Xu. Numerical simulation of partial-interaction load-deflection behavior of corroded reinforced concrete beams based on a segmental approach and evaluation of reinforcement corrosion level[J]. Journal of Zhejiang University Science A, 2020, 21(4): 280-293.

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author="Qian Feng, Guan-nan Wang, Yong-ping Zhang, Rong-qiao Xu",
journal="Journal of Zhejiang University Science A",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1900616"
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%T Numerical simulation of partial-interaction load-deflection behavior of corroded reinforced concrete beams based on a segmental approach and evaluation of reinforcement corrosion level
%A Qian Feng
%A Guan-nan Wang
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T1 - Numerical simulation of partial-interaction load-deflection behavior of corroded reinforced concrete beams based on a segmental approach and evaluation of reinforcement corrosion level
A1 - Qian Feng
A1 - Guan-nan Wang
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A1 - Rong-qiao Xu
J0 - Journal of Zhejiang University Science A
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DOI - 10.1631/jzus.A1900616


Abstract: 
corrosion of reinforcement has a significant effect on the deformation of reinforced concrete beams by deteriorating the bond-slip characteristics, diminishing the cross-sectional area of reinforcement, and causing cracking. The traditional way of quantifying the load capacity and simulating deflection is the moment-curvature (M/χ) approach. The problem is that the M/χ approach is semi-empirical after cracking as it is strain-based and cannot allow for tension stiffening. This paper introduces the new displacement-based moment-rotation (M/θ) approach which directly simulates the development of cracks and hence allows for tension stiffening. This M/θ approach is then used to predict the load-deflection behavior of reinforced concrete beams with corrosion effect by incorporating the corrosion-affected bond-slip model. The bond-slip model only considers the corrosion effect but ignores the confinement effect. It is used here as an example to describe the procedure of how to quantify the corrosion effect on reinforced concrete beam behavior. The load-deflection curves obtained from the numerical simulation show a good agreement with test results. For reinforced concrete beams with confinement, the only difference is to replace the bond-slip model with the one which includes both corrosion and stirrup effects. Additionally, the paper shows how to use the M/θ approach with the bond-slip model to predict the real corrosion level of reinforcement in some tests in which only the theoretical corrosion levels are provided.

基于分段法的锈蚀钢筋混凝土梁荷载-挠度特性数值模拟和钢筋锈蚀程度评估

目的:探讨在钢筋开始锈蚀后的混凝土梁荷载-挠度特性的变化,并利用荷载-挠度曲线反推钢筋锈蚀程度,进而为预测锈蚀钢筋混凝土结构行为提供新的依据.
创新点:1. 通过模拟钢筋混凝土的粘结滑移,建立计算荷载-挠度特性的数值方法. 2. 利用新建立的方法,评估结构内部钢筋锈蚀程度.
方法:1. 通过模拟钢筋与混凝土之间的粘结滑移作用,得到端部滑移量对应的作用于钢筋上的荷载值. 2. 将滑移量-荷载值关系导入钢筋混凝土梁的荷载-挠度曲线模型中,对受拉区混凝土开裂前后的钢筋混凝土梁的荷载-挠度曲线关系进行模拟. 3. 在不同钢筋锈蚀程度下对已知荷载-挠度关系曲线的钢筋混凝土梁进行荷载-挠度曲线计算,拟合出相似的荷载-挠度曲线,进而预测结构内部的钢筋锈蚀程度.
结论:1. 随着钢筋锈蚀程度的不断增加,钢筋混凝土梁的承载力明显下降. 2. 钢筋与混凝土的粘结滑移可以模拟钢筋锈蚀加剧后的挠度发展变化. 3. 利用新建立的数值方法可以有效地预测结构内部的钢筋锈蚀程度.

关键词:钢筋混凝土; 锈蚀; 荷载-挠度; 受拉强化; 粘结滑移

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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