The effect of corrosion on the structural reliability of steel offshore structures

The effect of corrosion on the structural reliability of steel offshore structures
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DOI:
10.1016/j.corsci.2005.04.004
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发表时间:
2005-10
期刊:
影响因子:
8.3
通讯作者:
R. Melchers
R. Melchers
中科院分区:
材料科学1区
文献类型:
--
作者:
R. Melchers

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本文认为工程结构可靠性评估的基本理论概念和数据要求,适用于评估腐蚀船舶,海洋结构和管道的安全性和可靠性。这种基础设施在恶劣的环境中运作。由于油漆涂层、镀锌或阴极保护等保护措施可能无效,因此必须考虑结构退化。可靠性分析需要精确的工程模型来描述和预测材料的腐蚀损失以及点蚀的最大深度。最近提出了这两种形式的腐蚀的新的基于概率的模型,并根据广泛的数据进行了校准。水的速度和水污染的影响进行了审查,并与最近报道的海上石油平台的腐蚀现场数据进行了比较。根据该模型解释的数据显示出良好的相关性时,津贴的季节,第一次浸泡和海水流速和水污染的不利影响。最后,以一条遭受点蚀的管道为例,说明了可靠性分析的应用。一个重要的结果是,良好的质量估计的长期概率损失的结构完整性需要良好的建模的长期腐蚀行为。这通常与厌氧腐蚀有关。因此,不能从短期腐蚀数据中推断,因为这与有氧腐蚀条件有关。
This paper considers essential theoretical concepts and data requirements for engineering structural reliability assessment suitable for the estimation of the safety and reliability of corroding ships, offshore structures and pipelines. Such infrastructure operates in a harsh environment. Allowance must be made for structural deterioration since protective measures such as paint coatings, galvanizing or cathodic protection may be ineffective. Reliability analysis requires accurate engineering models for the description and prediction of material corrosion loss and for the maximum depth of pitting. New probability-based models for both these forms of corrosion have been proposed recently and calibrated against a wide range of data. The effects of water velocity and of water pollution are reviewed and compared with recently reported field data for a corrosion at an offshore oil platform. The data interpreted according to the model show good correlation when allowance is made for the season of first immersion and the adverse effects of seawater velocity and of water pollution. An example is given to illustrate the application of reliability analysis to a pipeline subject to pitting corrosion. An important outcome is that good quality estimation of the longer-term probability of loss of structural integrity requires good modelling of the longer-term corrosion behaviour. This is usually associated with anaerobic corrosion. As a result, it cannot be extrapolated from data for short-term corrosion as this is associated with aerobic corrosion conditions.