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January 17, 2026Biofouling0 citations

The bio-corrosion mechanisms, mathematical modelling and machine learning applications in concrete structures: a systematic review

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CYChao YuXCXiaojie ChenFZFeng Zhang

Key Points

  • To clarify bio-corrosion mechanisms affecting concrete structures and explore quantification methods, while reviewing advancements in mathematical modelling and machine learning.
  • Conducted a systematic review of existing research on bio-corrosion in concrete.
  • Examined quantification techniques and mechanisms of deterioration.
  • Assessed the role of mathematical modelling and machine learning in analysing bio-corrosion.
  • Identified significant threats posed by bio-corrosion to structural durability.
  • Clarified various mechanisms contributing to bio-corrosion.
  • Highlighted advancements in using machine learning for predictive analysis of bio-corrosion.

Abstract

Concrete is a widely utilised material for infrastructure such as sea-crossing bridges, harbour terminals and sewage pipelines. However, concrete structures are susceptible to various forms of deterioration, including biological and chemical corrosion. Among these, bio-corrosion poses a significant threat to structural durability by promoting surface scaling and inducing complex physicochemical and biophysical damage. This study provides a comprehensive review of the current state of bio-corrosion research, with a focus on clarifying its mechanisms and established quantification techniques. Additionally, it examines advances in mathematical modelling and machine learning for analysing bio-corrosion in concrete structures. This review also addresses ongoing debates and insights within the field of bio-corrosion and bio-protection.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/696b2655d2a12237a934994dhttps://doi.org/10.1080/08927014.2025.2597855
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