材料腐蚀集成计算与应用研究进展

张昊; 纪毓成; 黄奕萱; 姚晨阳; 陈迪灏; 董超芳

doi:10.7643/issn.1672-9242.2026.03.010

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装备环境工程 ›› 2026, Vol. 23 ›› Issue (3) : 82-95. DOI: 10.7643/issn.1672-9242.2026.03.010

专刊——装备服役环境与性能试验

材料腐蚀集成计算与应用研究进展

张昊¹, 纪毓成¹, 黄奕萱¹, 姚晨阳¹, 陈迪灏², 董超芳^1,*

作者信息 +

Advances in Integrated Computational Modeling and Applications for Material Corrosion

ZHANG Hao¹, JI Yucheng¹, HUANG Yixuan¹, YAO Chenyang¹, CHEN Dihao², DONG Chaofang^1,*

Author information +

文章历史 +

摘要

综述了腐蚀研究中的理论计算方法及其发展趋势,并通过3个方面的具体应用实例进行了阐述。首先从多尺度建模的角度出发,详细分析了氢脆的多尺度建模与计算,钝化的生长和点蚀模型以及钝化膜性质的计算研究,并进一步探讨了人工智能技术结合腐蚀集成计算方法在预测腐蚀程度和设计新型耐蚀材料中的潜力。人工智能的快速发展,将成为腐蚀大数据与腐蚀集成计算之间的桥梁,在坚实的数据基础设施的前提下,将实现腐蚀集成计算更高效的发展。

Abstract

The work aims to review the theoretical and computational methods and their development trends in corrosion research and make elaboration through three specific application examples. From the perspective of multiscale modeling, the multiscale modeling and simulation of hydrogen embrittlement, models for passive film growth and pitting corrosion, as well as computational investigations of passive film properties were analyzed in detail. Furthermore, the potential of integrating artificial intelligence with integrated computational corrosion engineering for predicting corrosion severity and designing new corrosion-resistant materials was investigated. The rapid advancement of artificial intelligence is expected to serve as a bridge between corrosion big data and integrated computational corrosion engineering, enabling more efficient development of the latter, provided that a robust data infrastructure is established.

导出引用

张昊, 纪毓成, 黄奕萱, 姚晨阳, 陈迪灏, 董超芳. 材料腐蚀集成计算与应用研究进展[J]. 装备环境工程. 2026, 23(3): 82-95 https://doi.org/10.7643/issn.1672-9242.2026.03.010

ZHANG Hao, JI Yucheng, HUANG Yixuan, YAO Chenyang, CHEN Dihao, DONG Chaofang. Advances in Integrated Computational Modeling and Applications for Material Corrosion[J]. Equipment Environmental Engineering. 2026, 23(3): 82-95 https://doi.org/10.7643/issn.1672-9242.2026.03.010

中图分类号： TB304

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