研究论文

Machine learning-driven interface bond strength prediction of reinforced concrete with corrosion-induced cracks and feature sensitivity analysis

Tao Huang, Chunfeng Wan, Tingbin Liu, Shuai Gao, GuangCai ZHANG, Changqing Miao

Southeast University　Lanzhou Jiaotong University　China Design Group (China)

来源Construction and Building Materials

年份2026

DOI10.1016/j.conbuildmat.2026.145573

原文https://doi.org/10.1016/j.conbuildmat.2026.145573

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逐年被引趋势

1160

1126

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被引次数 · OpenAlex

40.33

领域内被引倍数
同类平均 = 1

前 0.2%

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同领域 · 同年份 · 同类型

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学术脉络

学科主题

工程

Concrete Corrosion and Durability

Structural Behavior of Reinforced Concrete · Infrastructure Maintenance and Monitoring

参考文献 42

Probabilistic prediction model for average bond strength at steel–concrete interface considering corrosion effect

Siavash Sajedi, Qindan Huang · Engineering Structures · 2015

被引 70

Effectiveness of Impressed Current Technique to Simulate Corrosion of Steel Reinforcement in Concrete

Tamer El‐Maaddawy, Khaled Soudki · Journal of Materials in Civil Engineering · 2003

被引 640

Impact of crack width on bond: confined and unconfined rebar

David W. Law, Denglei Tang, T Molyneaux · Materials and Structures · 2010

被引 80

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引用本文 11

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K. J. Zhu, Zuliang Zhong, Laiyang Li · Construction and Building Materials · 2026

被引 1

Review on interfacial bonding behavior between geopolymer concrete and OPC concrete substrate

Peng Zhang, Peiyu Wang, Zhen Gao · Journal of Building Engineering · 2026

被引 0

Thermodynamically self-consistent simulation of the MIM sintering process via a dual-stream decoupled physics-informed neural network

Yu Bai, Ke Wu, Leijie Fu · Materials Today Communications · 2026