Dynamic reliability analysis of corroded pipeline using Bayesian Network

Maintenance and integrity management of hydrocarbons pipelines face the challenges from uncertainties in the data available. This paper demonstrates a way for pipeline remaining service life prediction that integrates structural reliability analysis, accumulated corrosion knowledge, and inspection d...

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Main Authors:	Nurul Sa'aadah, Sulaiman, Tan, Henry
Format:	Article
Language:	English
Published:	Science Publishing Corporation Inc. 2018
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/24103/ http://umpir.ump.edu.my/id/eprint/24103/ http://umpir.ump.edu.my/id/eprint/24103/ http://umpir.ump.edu.my/id/eprint/24103/1/45.%20Dynamic%20reliability%20analysis%20of%20corroded%20pipeline.pdf

id	ump-24103
recordtype	eprints
spelling	ump-241032019-07-18T03:26:01Z http://umpir.ump.edu.my/id/eprint/24103/ Dynamic reliability analysis of corroded pipeline using Bayesian Network Nurul Sa'aadah, Sulaiman Tan, Henry TP Chemical technology Maintenance and integrity management of hydrocarbons pipelines face the challenges from uncertainties in the data available. This paper demonstrates a way for pipeline remaining service life prediction that integrates structural reliability analysis, accumulated corrosion knowledge, and inspection data on a sound mathematical foundation. Pipeline defects depth grows with time according to an empirical corrosion power law, and this is checked for leakage and rupture probability. The pipeline operating pressure is checked with the degrad-ed failure pressure given by ASME B31G code for rupture likelihood. As corrosion process evolves with time, Dynamic Bayesian Net-work (DBN) is employed to model the stochastic corrosion deterioration process. From the results obtained, the proposed DBN model for pipeline reliability is advanced compared with other traditional structural reliability method whereby the updating ability brings in more accurate prediction results of structural reliability. The comparisons show that the DBN model can achieve a realistic result similar to the conventional method, Monte Carlo Simulation with very minor discrepancy. Science Publishing Corporation Inc. 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24103/1/45.%20Dynamic%20reliability%20analysis%20of%20corroded%20pipeline.pdf Nurul Sa'aadah, Sulaiman and Tan, Henry (2018) Dynamic reliability analysis of corroded pipeline using Bayesian Network. International Journal of Engineering and Technology(UAE), 7 (4). pp. 1-6. ISSN 2227524X http://dx.doi.org/10.14419/ijet.v7i4.35.22733 http://dx.doi.org/10.14419/ijet.v7i4.35.22733
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Nurul Sa'aadah, Sulaiman Tan, Henry Dynamic reliability analysis of corroded pipeline using Bayesian Network
description	Maintenance and integrity management of hydrocarbons pipelines face the challenges from uncertainties in the data available. This paper demonstrates a way for pipeline remaining service life prediction that integrates structural reliability analysis, accumulated corrosion knowledge, and inspection data on a sound mathematical foundation. Pipeline defects depth grows with time according to an empirical corrosion power law, and this is checked for leakage and rupture probability. The pipeline operating pressure is checked with the degrad-ed failure pressure given by ASME B31G code for rupture likelihood. As corrosion process evolves with time, Dynamic Bayesian Net-work (DBN) is employed to model the stochastic corrosion deterioration process. From the results obtained, the proposed DBN model for pipeline reliability is advanced compared with other traditional structural reliability method whereby the updating ability brings in more accurate prediction results of structural reliability. The comparisons show that the DBN model can achieve a realistic result similar to the conventional method, Monte Carlo Simulation with very minor discrepancy.
format	Article
author	Nurul Sa'aadah, Sulaiman Tan, Henry
author_facet	Nurul Sa'aadah, Sulaiman Tan, Henry
author_sort	Nurul Sa'aadah, Sulaiman
title	Dynamic reliability analysis of corroded pipeline using Bayesian Network
title_short	Dynamic reliability analysis of corroded pipeline using Bayesian Network
title_full	Dynamic reliability analysis of corroded pipeline using Bayesian Network
title_fullStr	Dynamic reliability analysis of corroded pipeline using Bayesian Network
title_full_unstemmed	Dynamic reliability analysis of corroded pipeline using Bayesian Network
title_sort	dynamic reliability analysis of corroded pipeline using bayesian network
publisher	Science Publishing Corporation Inc.
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24103/ http://umpir.ump.edu.my/id/eprint/24103/ http://umpir.ump.edu.my/id/eprint/24103/ http://umpir.ump.edu.my/id/eprint/24103/1/45.%20Dynamic%20reliability%20analysis%20of%20corroded%20pipeline.pdf
first_indexed	2023-09-18T22:36:18Z
last_indexed	2023-09-18T22:36:18Z
_version_	1777416618553376768

Dynamic reliability analysis of corroded pipeline using Bayesian Network

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