Cellular automata simulation on corrosion: State of the art and perspectives

In recent years, computer technology has advanced to the point that cellular automata models are widely used in corrosion research. Cellular automata models can simulate the spatial–temporal evolution of complex systems using simple local rules and are useful for describing micro-mechanisms and macro-phenomena in corrosion processes. This paper first describes the usefulness of cellular automata models in corrosion simulation and then organises a general framework for constructing corrosion-based cellular automata. Then, it analyses research hot spots, technology development and challenges, as well as future development trends in cellular automata simulation of corrosion. Cellular automata models have achieved remarkable results in simulating various corrosion types, including uniform corrosion, pitting corrosion, intergranular corrosion and fatigue corrosion. They have also been widely adopted in materials science, engineering and biomedicine. However, challenges remain in multiphysics field coupling, model validation, parameter optimisation and integration with other simulation methods. Future trends of cellular automata models will focus on multidisciplinary collaboration, close integration of experiments and simulations, integration of real-time monitoring technology and expansion of application scenarios. This will improve model accuracy and practicality and provide theoretical and technical support for solving and controlling corrosion problems.

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Publication Details

Journal
Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control
Published
2026-01-13
DOI
https://doi.org/10.1177/1478422x251414247
Primary Topic
Structural Integrity and Reliability Analysis
Type
article
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article

Cellular automata simulation on corrosion: State of the art and perspectives

Zhan Ming Dou, Qianlin Wang, Jianwen Zhang, Liangchao Chen et al.
Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control
Structural Integrity and Reliability Analysis
article

Cellular automata simulation on corrosion: State of the art and perspectives

Zhan Ming Dou, Qianlin Wang, Jianwen Zhang, Liangchao Chen, Jianfeng Yang
article en

Abstract

In recent years, computer technology has advanced to the point that cellular automata models are widely used in corrosion research. Cellular automata models can simulate the spatial–temporal evolution of complex systems using simple local rules and are useful for describing micro-mechanisms and macro-phenomena in corrosion processes. This paper first describes the usefulness of cellular automata models in corrosion simulation and then organises a general framework for constructing corrosion-based cellular automata. Then, it analyses research hot spots, technology development and challenges, as well as future development trends in cellular automata simulation of corrosion. Cellular automata models have achieved remarkable results in simulating various corrosion types, including uniform corrosion, pitting corrosion, intergranular corrosion and fatigue corrosion. They have also been widely adopted in materials science, engineering and biomedicine. However, challenges remain in multiphysics field coupling, model validation, parameter optimisation and integration with other simulation methods. Future trends of cellular automata models will focus on multidisciplinary collaboration, close integration of experiments and simulations, integration of real-time monitoring technology and expansion of application scenarios. This will improve model accuracy and practicality and provide theoretical and technical support for solving and controlling corrosion problems.

Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control
Beijing University of Chemical Technology (CN)
Openalex Percentile: Top 88%
Structural Integrity and Reliability Analysis
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Cellular automata simulation on corrosion: State of the art and perspectives — Zhan Ming Dou, Qianlin Wang, et al. · Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control (2026) | TGRS Research Map | TGRS