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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| Format: | Article |
| Language: | en |
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Science Publishing Corporation Inc.
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/24103/1/45.%20Dynamic%20reliability%20analysis%20of%20corroded%20pipeline.pdf http://umpir.ump.edu.my/id/eprint/24103/ http://dx.doi.org/10.14419/ijet.v7i4.35.22733 |
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| _version_ | 1831526197961424896 |
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| author | Nurul Sa'aadah, Sulaiman Tan, Henry |
| author_facet | Nurul Sa'aadah, Sulaiman Tan, Henry |
| author_sort | Nurul Sa'aadah, Sulaiman |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.24103 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2018 |
| publisher | Science Publishing Corporation Inc. |
| record_format | eprints |
| spelling | my.ump.umpir.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. (Published) http://dx.doi.org/10.14419/ijet.v7i4.35.22733 http://dx.doi.org/10.14419/ijet.v7i4.35.22733 |
| spellingShingle | TP Chemical technology Nurul Sa'aadah, Sulaiman Tan, Henry Dynamic reliability analysis of corroded pipeline using Bayesian Network |
| title | 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_short | Dynamic reliability analysis of corroded pipeline using Bayesian Network |
| title_sort | dynamic reliability analysis of corroded pipeline using bayesian network |
| topic | TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/24103/1/45.%20Dynamic%20reliability%20analysis%20of%20corroded%20pipeline.pdf http://umpir.ump.edu.my/id/eprint/24103/ http://dx.doi.org/10.14419/ijet.v7i4.35.22733 http://dx.doi.org/10.14419/ijet.v7i4.35.22733 |
| url_provider | http://umpir.ump.edu.my/ |