Stochastic process corrosion growth models for pipeline reliability

Felipe Alexander Vargas Bazan; Andre Teofilo Beck

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Stochastic process corrosion growth models for pipeline reliability

机译：用于管道可靠性的随机过程腐蚀增长模型

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Linear random variable corrosion models are extensively employed in reliability analysis of pipelines. However, linear models grossly neglect well-known characteristics of the corrosion process. Herein, a non-linear model is proposed, where corrosion rate is represented as a Poisson square wave process. The resulting model represents inherent time-variability of corrosion growth, produces continuous growth and leads to mean growth at less-than-one power of time. Different corrosion models are adjusted to the same set of actual corrosion data for two inspections. The proposed non-linear random process corrosion growth model leads to the best fit to the data, while better representing problem physics.

机译：线性随机变量腐蚀模型广泛用于管道的可靠性分析。但是，线性模型完全忽略了腐蚀过程的众所周知的特征。在此，提出了一种非线性模型，其中腐蚀速率表示为泊松方波过程。生成的模型表示腐蚀增长的固有时变性，产生连续增长，并导致平均增长小于一倍的时间。针对两次检查，将不同的腐蚀模型调整为同一组实际腐蚀数据。所提出的非线性随机过程腐蚀增长模型导致最适合数据，同时更好地表示问题物理。

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来源
《Corrosion science》 |2013年第9期|50-58|共9页
作者
Felipe Alexander Vargas Bazan; Andre Teofilo Beck;
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作者单位

University of Saeo Paulo, Saeo Carlos School of Engineering. Department of Structural Engineering, Av. Trabalhador Saeocariense 400, Saeo Carlos, SP 13566-590, Brazil;

University of Saeo Paulo, Saeo Carlos School of Engineering. Department of Structural Engineering, Av. Trabalhador Saeocariense 400, Saeo Carlos, SP 13566-590, Brazil;

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正文语种 eng
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B. Modeling studies; A. Steel;

机译：B.建模研究;A.钢铁;

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Stochastic process corrosion growth models for pipeline reliability

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