Abstract 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.

中文翻译：

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极端海洋环境腐蚀钢结构维护管理策略概述

摘要 维护在船舶结构、海上可再生能源平台和海底油气设施等海洋资产的完整性管理中发挥着重要作用。海洋资产的使用寿命受到众多材料退化过程（例如疲劳开裂、腐蚀和点蚀）以及随地理位置和气候因素而变化的环境压力的严重影响。海水成分的组成（例如溶解氧、盐度、温度含量等）是海洋资产退化的主要影响因素之一。提高维护管理策略的效率和有效性会对海洋资产的运营可用性和可靠性产生重大影响。在过去的几十年里，已经进行了许多研究，以预测在不同环境条件下运行的海洋结构的退化行为。利用结构退化数据——尤其是关于海洋腐蚀的数据——对于制定可靠、无风险和具有成本效益的维护策略非常有用。本文概述了应用于极端海洋环境中腐蚀钢结构的资产维护管理策略的最新技术和未来趋势。腐蚀预测模型以及海洋钢结构维护的行业最佳实践得到了广泛的审查和分析。此外，一些先进技术的应用，如计算机化维护管理系统（CMMS），讨论了人工智能 (AI) 和贝叶斯网络 (BN)。我们的审查表明，从一种气候条件到另一种气候条件，海洋钢结构的腐蚀行为及其工业维护实践存在显着差异。已发现这主要归因于海水成分/特征的变化及其复杂的相互关系。