The bio-corrosion mechanisms, mathematical modelling and machine learning applications in concrete structures: a systematic review
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.
Authors
- Xiaofeng Zhou (ORCID: https://orcid.org/0009-0002-7293-1958)
- Chao Yu (ORCID: https://orcid.org/0000-0002-4028-4250)
- Hui Rong
- Feng Zhang (ORCID: https://orcid.org/0000-0002-6751-0377)
- Xiaojie Chen
Institutions
- Central South University (CN)
- Guangxi University (CN)
- Tianjin Chengjian University (CN)
- China Railway Construction Corporation (China) (CN)
Publication Details
- Journal
- Biofouling
- Published
- 2026-01-15
- DOI
- https://doi.org/10.1080/08927014.2025.2597855
- Primary Topic
- Corrosion Behavior and Inhibition
- Type
- article
- Field-Weighted Citation Impact
- 0.00