Reliability evaluation of corroded pipeline under combined loadings based on back propagation neural network method-Reference-Cited by-同舟云学术

Reliability evaluation of corroded pipeline under combined loadings based on back propagation neural network method

Published:2022-10 Issue: Volume:262 Page:111910
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Chen Yanfei,Hou Fuheng,Dong Shaohua,Guo Lingyun,Xia Tongjin,He Guoyan

Funder

Science Foundation of China University of Petroleum, Beijing

State Key Laboratory of Structural Analysis for Industrial Equipment

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference41 articles.

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3. Reliability Assessment of Thick High Strength Pipelines with Corrosion Defects;Bhardwaj,2019

4. Inspections, statistical and reliability assessment study of corroded pipeline;Bouledroua;Eng. Fail. Anal.,2019

5. Oil and Gas Pipeline System: CSA Z662[S],2019

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