再生混凝土与腐蚀钢筋粘结性能的非线性数值模拟

IF 2.4 Q2 ENGINEERING, MECHANICAL

Nonlinear Engineering - Modeling and Application Pub Date : 2023-01-01 DOI:10.1515/nleng-2022-0275

Zhenfang Li, Dongshao Gao, Chuanji Wu, Guoqing Lv, Xin Liu, Haoran Zhai, Zhan-Fang Huang

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引用次数: 0

摘要

摘要本文采用非线性数值模拟方法分析了再生混凝土与腐蚀钢筋之间的粘结性能。结果表明:随着钢筋腐蚀速率的增大，再生混凝土与钢筋的最大粘结强度减小;当再生混凝土强度较大时，模拟最大粘结强度与试验最大粘结强度吻合较好;再生混凝土强度较小时，模拟最大粘结强度与实验最大粘结强度吻合较差，但仍在允许范围内存在误差;随着钢筋腐蚀速率的增加，再生混凝土与钢筋之间的滑移量增大;当钢筋腐蚀速率超过5%时，粘结强度下降较快;在相同钢筋腐蚀速率下，最大粘结强度随试样尺寸的增大而增大;在相同钢筋腐蚀速率下，最大粘结强度随钢筋直径的增大而减小。

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Nonlinear numerical simulation of bond performance between recycled concrete and corroded steel bars

Abstract In this article, the bond performance between recycled concrete and corroded steel bars is analyzed by the nonlinear numerical simulation. The result shows that the maximum bond strength between recycled concrete and steel bar decreases with the increase in steel bar corrosion rate; when the recycled concrete strength is large, the simulated maximum bond strength is in good agreement with the experimental maximum bond strength; when the recycled concrete strength is small, the simulated maximum bond strength is in relatively poor agreement with the experimental maximum bond strength, but there is still an error within the allowable range; the slip between recycled concrete and steel bar increases with the increase in steel bar corrosion rate; when the steel bar corrosion rate exceeded 5%, the bond strength decreases more rapidly; the maximum bond strength increases with the increase in specimen sizes under the same steel bar corrosion rate; the maximum bond strength decreases with the increase in steel bar diameter under the same steel bar corrosion rate.

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来源期刊

Nonlinear Engineering - Modeling and Application Multiple-

CiteScore

6.20

自引率

3.60%

发文量

审稿时长

44 weeks

期刊介绍： The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.