A numerical external pitting damage prediction method of buried pipelines

Sosa Eliceo; Verdin Martinez Adrian; Alamilla Jorge L.; Contreras Antonio; Quej Luis M.; Liu Hongbo

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A numerical external pitting damage prediction method of buried pipelines

机译：埋管管道的数值蚀损伤预测方法

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摘要

The work introduces a numerical external damage prediction method for buried pipelines. The external pitting initiation and corrosion rate of oil or gas pipelines are affected by pipeline age, physicochemical properties of soils and cathodic protection performance as well as coating conditions. Before developing the damage prediction model, the influencing factors were weighed by grey relational analysis, and then the relationship among the pitting depth and the influencing factors of external corrosion was established for corrosion damage prediction through artificial neural network (ANN). Subsequently, the established ANN was applied to predict corrosion damage and corrosion rate for some selected cases, and the neural network prediction model was analyzed and compared to another corrosion rate prediction models. Through the analysis and comparison, a few opinions were proposed on the external corrosion damage prediction and pipeline integrity management.

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来源
《Corrosion Reviews》 |2020年第5期|共12页
作者
Sosa Eliceo; Verdin Martinez Adrian; Alamilla Jorge L.; Contreras Antonio; Quej Luis M.; Liu Hongbo;
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作者单位

Inst Mexicano Petr Eje Cent Lazaro Cardenas Norte 152 Ciudad De Mexico 07730 Cdmx Mexico;

Inst Mexicano Petr Eje Cent Lazaro Cardenas Norte 152 Ciudad De Mexico 07730 Cdmx Mexico;

Inst Mexicano Petr Eje Cent Lazaro Cardenas Norte 152 Ciudad De Mexico 07730 Cdmx Mexico;

Inst Mexicano Petr Eje Cent Lazaro Cardenas Norte 152 Ciudad De Mexico 07730 Cdmx Mexico;

Inst Mexicano Petr Eje Cent Lazaro Cardenas Norte 152 Ciudad De Mexico 07730 Cdmx Mexico;

Inst Mexicano Petr Eje Cent Lazaro Cardenas Norte 152 Ciudad De Mexico 07730 Cdmx Mexico;

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原文格式 PDF
正文语种 eng
中图分类金属腐蚀与保护、金属表面处理;
关键词
artificial neural network; corrosion damage prediction; grey relational analysis;

机译：人工神经网络;腐蚀损伤预测;灰色关系分析;

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A numerical external pitting damage prediction method of buried pipelines

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