Zhang Wei, Long Zhilin, Liu Xiaowei
School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China.
School of Civil Engineering, Xiangtan University, Xiangtan 411105, China.
Materials (Basel). 2025 Jun 4;18(11):2640. doi: 10.3390/ma18112640.
This study investigates the mechanical degradation of HRB400 corroded reinforcing steel induced by corrosion and introduces a tailored constitutive model to capture the influence of mass loss ratios. A series of tensile tests were conducted following chloride-driven wet-dry cycles combined with a simulated marine corrosion environment, enabling the quantification of the relationship between mass loss ratios and mechanical performance. A degradation equation based on mass loss ratios was derived and benchmarked against both experimental data and the existing Hooputra's Ductile Damage (HDD) model. The proposed equation achieved approximately 80% accuracy in predicting strength reduction across varying corrosion levels. A finite element model incorporating the HDD framework was developed to simulate tensile failure, successfully capturing key degradation characteristics, including reduced yield strength, diminished ductility, and a shortened yield plateau. Unlike other models, it maintained high predictive accuracy even under severe corrosion. These findings demonstrate the model's potential for structural analysis and reinforcement design in corrosion-prone environments.
本研究调查了腐蚀引起的HRB400锈蚀钢筋的力学性能退化，并引入了一个定制的本构模型来捕捉质量损失率的影响。在模拟海洋腐蚀环境下，结合氯化物驱动的干湿循环进行了一系列拉伸试验，从而能够量化质量损失率与力学性能之间的关系。推导了基于质量损失率的退化方程，并与实验数据和现有的胡普特拉延性损伤（HDD）模型进行了对比。所提出的方程在预测不同腐蚀水平下的强度降低方面达到了约80%的准确率。开发了一个包含HDD框架的有限元模型来模拟拉伸破坏，成功捕捉到了关键的退化特征，包括屈服强度降低、延性减小和屈服平台缩短。与其他模型不同，即使在严重腐蚀情况下，它也保持了较高的预测准确率。这些发现证明了该模型在易腐蚀环境下进行结构分析和钢筋设计的潜力。
