领域(数学)
计算机科学
人工智能
机器学习
耐久性
光学(聚焦)
数学模型
工程类
缩放比例
生化工程
电流(流体)
管理科学
国家(计算机科学)
作者
Chao Yu,Xiaojie Chen,Zhihao Feng,Hui Rong,Xiaofeng Zhou
出处
期刊:Biofouling
[Taylor & Francis]
日期:2026-01-15
卷期号:42 (2): 99-121
标识
DOI:10.1080/08927014.2025.2597855
摘要
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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