An overview of maintenance management strategies for corroded steel structures in extreme marine environments

• Published in: Marine structures Vol. 71; pp. 102718 - 23
• Main Authors: Abbas, Muntazir, Shafiee, Mahmood
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.05.2020; Elsevier BV
• Subjects: Artificial intelligence; Bayesian analysis; Best practices; Climatic conditions; Composition; Corrosion; Corrosion environments; Corrosion fatigue; Crack propagation; Cracking (corrosion); Degradation; Dissolved oxygen; Environmental conditions; Environmental management; Environmental stress; Extreme climatic conditions; Fatigue cracking; Fatigue failure; Fracture mechanics; Geographical locations; Maintenance management; Marine corrosion; Marine environment; Mathematical models; Offshore drilling rigs; Offshore engineering; Offshore platforms; Offshore structures; Pitting (corrosion); Plant maintenance; Prediction models; Probability theory; Renewable energy; Renewable resources; Resource management; Seawater; Service life; State-of-the-art reviews; Steel structures; Work platforms; Degradation; Steel structures; Extreme climatic conditions; Marine corrosion; Maintenance management
• ISSN: 0951-8339; 1873-4170
• DOI: 10.1016/j.marstruc.2020.102718

Maintenance is playing an important role in integrity management of marine assets such as ship structures, offshore renewable energy platforms and subsea oil and gas facilities. The service life of marine assets is heavily influenced by the involvement of numerous material degradation processes (such as fatigue cracking, corrosion and pitting) as well as environmental stresses that vary with geographic locations and climatic factors. The composition of seawater constituents (e.g. dissolved oxygen, salinity, temperature content, etc.) is one of the major influencing factors in degradation of marine assets. Improving the efficiency and effectiveness of maintenance management strategies can have a significant impact on operational availability and reliability of marine assets. Many research studies have been conducted over the past few decades to predict the degradation behaviour of marine structures operating under different environmental conditions. The utilisation of structural degradation data – particularly on marine corrosion – can be very useful in developing a reliable, risk-free and cost-effective maintenance strategy. This paper presents an overview of the state-of-the-art and future trends in asset maintenance management strategies applied to corroded steel structures in extreme marine environments. The corrosion prediction models as well as industry best practices on maintenance of marine steel structures are extensively reviewed and analysed. Furthermore, some applications of advanced technologies such as computerized maintenance management system (CMMS), artificial intelligence (AI) and Bayesian network (BN) are discussed. Our review reveals that there are significant variations in corrosion behaviour of marine steel structures and their industrial maintenance practices from one climatic condition to another. This has been found to be largely attributed to variation in seawater composition/characteristics and their complex mutual relationships. •The state-of-the-art and future trends in maintenance strategies applied to corroded steel marine structures.•To review and analyse the corrosion prediction models and industry practices on maintenance of marine steel structures.•Evaluation of deterministic and probabilistic models to predict the corrosion rate in marine steel structures.•To explore the applications of advanced technologies in maintenance optimization of marine steel structures.