Development of new applied models for steel corrosion in marine applications including shipping
Development of new applied models for steel corrosion in marine applications including shipping
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DOI：
10.1080/17445300701799851
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发表时间：
2008-05
影响因子：
2.1
通讯作者：
R. Melchers
中科院分区：
文献类型：
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作者：
R. Melchers
用来预测腐蚀的模型常常给人一种误导性的印象，认为钢在海水环境中的腐蚀是时间的线性函数(“腐蚀率”)。最近，已经提出了腐蚀损失的非线性函数，并根据来自各种来源的聚合数据进行了校准。不幸的是，这种数据的使用产生了具有广泛不确定性的模型，并使得预测未来的腐蚀和评估钢成分和环境影响的影响变得困难。最近的研究基于钢铁腐蚀的基本特征，包括生物影响的影响，建立了一个模型。详细的研究表明，控制(瞬时)腐蚀速率的过程随着腐蚀的进行而变化。这被表示为一系列的阶段，其中基本的理论理由和数学关系已经得到了推导。为了确保模型具有实际有效性，对精心挑选的实际野外观测数据进行了校准。这也使得水温、溶解氧水平、营养物质污染、深度、水速、水盐度和钢成分的影响得以隔离，正如本文简要回顾的那样。并对其应用前景和研究方向进行了展望。
Abstract Models for the prediction of corrosion often give the misleading impression that corrosion of steel in seawater environments is a linear function of time (the “corrosion rate”). More recently non-linear functions for corrosion loss have been proposed calibrated to aggregated data from a wide variety of sources. Unfortunately, this use of the data produces models with wide ranges of uncertainty and makes it difficult to predict future corrosion and to assess the effect of steel composition and environmental influences. Recent research has produced a model based on the fundamental characteristics of steel corrosion, including the effect of biological influences. Detailed investigations show that the process controlling the (instantaneous) rate of corrosion changes as corrosion progresses. This is represented as a sequence of phases for which fundamental theoretical justifications and mathematical relationships have been derived. To ensure the model has practical validity, it has been calibrated to carefully selected actual field observations. This has also allowed the effect of water temperature, dissolved oxygen levels, nutrient pollution, depth, water velocity, water salinity, and steel composition to be isolated, as reviewed briefly herein. Some observations about applications and research directions are given.