Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network-Reference-Cited by-同舟云学术

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

Published:2023-03 Issue: Volume:231 Page:108990
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Zhang Tieyao,Shuai Jian,Shuai Yi,Hua Luoyi,Xu Kui,Xie Dong,Mei Yuan

Funder

China University of Petroleum, Beijing

China National Petroleum Corporation

Science Foundation of China University of Petroleum, Beijing

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference57 articles.

1. Effect of the Lüders plateau on the relationship between fracture toughness and constraint for pipeline steels;Zhang;Theor Appl Fract Mech,2022

2. Investigation of the tensile strain response of the girth weld of high-strength steel pipeline;Zhang;J Constr Steel Res,2022

3. Environmental hazard: monitor safety of aged fuel pipelines;Cheng;Nature,2016

4. Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas;Yin;Reliab Eng Syst Saf,2022

5. Probabilistic physical modeling of randomly corroded surface and its use in reliability analysis of corroded pipelines under spatiotemporal vibration;Wang;Ocean Eng,2022

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2. Three-layer and robust planning models to evaluate the strategies of defense layer, attack layer, and operation layer for optimal protection in natural gas pipeline network;Reliability Engineering & System Safety;2024-09

3. Reliability-based maintenance optimization of long-distance oil and gas transmission pipeline networks;Reliability Engineering & System Safety;2024-09

4. Time varying reliability analysis of corroded gas pipelines using copula and importance sampling;Ocean Engineering;2024-08

5. Predicting failure pressure of corroded gas pipelines: A data-driven approach using machine learning;Process Safety and Environmental Protection;2024-04

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