Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network DOI

Tieyao Zhang,

Jian Shuai,

Yi Shuai

и другие.

Reliability Engineering & System Safety, Год журнала: 2022, Номер 231, С. 108990 - 108990

Опубликована: Ноя. 22, 2022

Язык: Английский

Influence of annealing treatment on the microstructure and corrosion resistance of AlxTiyCoCrFeNi high-entropy coatings DOI
Yong-kuan Zhou,

Jiajie Kang,

Guozheng Ma

и другие.

Corrosion Science, Год журнала: 2025, Номер unknown, С. 112838 - 112838

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Internal microbiologically influenced corrosion of natural gas pipelines: A critical review DOI
Boxin Wei, Jin Xu, Cheng Sun

и другие.

Journal of Natural Gas Science and Engineering, Год журнала: 2022, Номер 102, С. 104581 - 104581

Опубликована: Апрель 19, 2022

Язык: Английский

Процитировано

37
A review on Bayesian modeling approach to quantify failure risk assessment of oil and gas pipelines due to corrosion DOI
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Jundika C. Kurnia

и другие.

International Journal of Pressure Vessels and Piping, Год журнала: 2022, Номер 200, С. 104841 - 104841

Опубликована: Ноя. 3, 2022

Язык: Английский

Процитировано

37
Recent Advances in Nondestructive Method and Assessment of Corrosion Undercoating in Carbon–Steel Pipelines DOI Creative Commons
Zazilah May, M. K. Alam, Nazrul Anuar Nayan

и другие.

Sensors, Год журнала: 2022, Номер 22(17), С. 6654 - 6654

Опубликована: Сен. 2, 2022

Carbon–steel pipelines have mostly been utilized in the oil and gas (OG) industry owing to their strength cost-effectiveness. However, detection of corrosion under coating poses challenges for nondestructive (ND) pipeline monitoring techniques. One is inaccessibility because structure, which leads undetected corrosion, possibly catastrophic failure. The drawbacks existing ND methods increase need novel frameworks feature extraction, detection, characterization corrosion. This study begins with explanations various types carbon–steel OG its prevention methods. A review critical sensors integrated current systems then presented. importance acoustic emission (AE) techniques over other explained. AE data preprocessing are discussed. Several AE-based prediction, reliability assessment models online condition highlighted. Finally, a discussion future perspectives on followed by significance advantages emerging trends identified issues summarized several recommendations improvement industry.

Язык: Английский

Процитировано

34
Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network DOI

Tieyao Zhang,

Jian Shuai,

Yi Shuai

и другие.

Reliability Engineering & System Safety, Год журнала: 2022, Номер 231, С. 108990 - 108990

Опубликована: Ноя. 22, 2022

Язык: Английский

Процитировано

32