Development of a pipe wall thickness measurement sensor based on FBG and permanent magnet technology DOI
Tao Jiang, Hua Zhu, Jiajian Wang

et al.

Journal of Civil Structural Health Monitoring, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Language: Английский

Flame propagation mechanism of methanol fuel spray explosion in a square closed vessel DOI
Enhua Shi, Xingqing Yan, Liang He

et al.

Journal of Loss Prevention in the Process Industries, Journal Year: 2024, Volume and Issue: 91, P. 105408 - 105408

Published: Aug. 14, 2024

Language: Английский

Citations

4
Failure assessment of oil and gas transmission pipelines using an integrated Bayesian belief network and GIS model DOI
Haile Woldesellasse, Solomon Tesfamariam

International Journal of Pressure Vessels and Piping, Journal Year: 2023, Volume and Issue: 205, P. 104984 - 104984

Published: June 1, 2023

Language: Английский

Citations

10
Enhancing Pipeline Reliability: A Structural Integrity Management Approach Using Minimal Cut Set Method and Importance Measures DOI Creative Commons

Marco Antônio Sabará,

José Antônio da Cunha Ponciano Gomes, Alysson Helton Santos Bueno

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Gas pipelines are fundamental structures for transporting energy resources. Their integrity is constantly threatened by failures caused potential punctures or ruptures, leading to gas releases, which can have significant consequences the installation, people, and environment. Various methodologies been proposed improve Pipeline Structural Integrity Management (PSIM) processes. In this work, a model estimating probability of release failure using Quantitative Fault Tree Analysis (QFTA) approach. The Minimum Cut Set (MCS) technique applied along with assessment Importance Measures (IM) provide an accurate estimation rate (λ) identification most critical basic events. This information be used support actions in Risk-Based Inspection (RBI) Reliability-Centered Maintenance (RCM) eliminate, control, mitigate risks. was validated comparing results obtained through Monte Carlo Simulation data from official databases pipeline incidents/accidents similar models published literature. proved capable accurately (λ), closely matching database values more convergent than those achieved reference study also provides guidelines correct effective application PSIM routines.

Language: Английский

Citations

0
Advancing mining maintenance: integrating machine learning for proactive corrosion management DOI

James J. LePage,

Kaveh Ghouchani,

Javad Mohammadpour

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 179 - 194

Published: Jan. 1, 2025

Language: Английский

Citations

0
Development of a pipe wall thickness measurement sensor based on FBG and permanent magnet technology DOI
Tao Jiang, Hua Zhu, Jiajian Wang

et al.

Journal of Civil Structural Health Monitoring, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Language: Английский

Citations

0