MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEEL
The detection of early fatigue phenomena in a gas pipeline is crucial in order to avoid catastrophic consequences. Therefore, appropriate inspection is needed to assess fatigue phenomena in a gas pipeline system. Acoustic emission (AE) technology is expected to be suitable in this regard. This paper...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang Publishing
2012-06-01
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| Series: | Journal of Mechanical Engineering and Sciences |
| Subjects: | |
| Online Access: | https://www.dropbox.com/s/55ndf9sxe9wtu9m/14_Yusof%20et%20al.pdf |
| _version_ | 1797715056967811072 |
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| author | M.F.M. Yusof N. Jamaludin S. Abdullah Z.H. Hanafi M.S.M. Zain |
| author_facet | M.F.M. Yusof N. Jamaludin S. Abdullah Z.H. Hanafi M.S.M. Zain |
| author_sort | M.F.M. Yusof |
| collection | DOAJ |
| description | The detection of early fatigue phenomena in a gas pipeline is crucial in order to avoid catastrophic consequences. Therefore, appropriate inspection is needed to assess fatigue phenomena in a gas pipeline system. Acoustic emission (AE) technology is expected to be suitable in this regard. This paper presents the monitoring and assessment of AE signatures of the fatigue mechanism of gas pipeline material, API 5L X70 steel. The stress amplitude of 65%, 60%, 58% and 53% of the ultimate tensile strength were done in order to observe AE activity during the fatigue mechanism. Field measurements were also done by investigating AE signatures of an operational gas pipeline for comparison purposes. Based on the correlation of the AE signatures and fatigue mechanism, it was found that the AE activities generated during the fatigue mechanism were divided into three different stages. Analysis of the AE features and statistical parameters have shown that the kurtosis values of the time domain AE signatures from the third stage of the fatigue mechanism were different from the field measurements. This results show that the application of the kurtosis was expected to be able to detect the time domain AE signatures from the crack stage. |
| first_indexed | 2024-03-12T08:01:12Z |
| format | Article |
| id | doaj.art-b8b2a6bd3e6c477299b980dd36d6bf8b |
| institution | Directory Open Access Journal |
| issn | 2289-4659 2231-8380 |
| language | English |
| last_indexed | 2024-03-12T08:01:12Z |
| publishDate | 2012-06-01 |
| publisher | Universiti Malaysia Pahang Publishing |
| record_format | Article |
| series | Journal of Mechanical Engineering and Sciences |
| spelling | doaj.art-b8b2a6bd3e6c477299b980dd36d6bf8b2023-09-02T19:53:36ZengUniversiti Malaysia Pahang PublishingJournal of Mechanical Engineering and Sciences2289-46592231-83802012-06-012237250MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEELM.F.M. YusofN. JamaludinS. AbdullahZ.H. HanafiM.S.M. ZainThe detection of early fatigue phenomena in a gas pipeline is crucial in order to avoid catastrophic consequences. Therefore, appropriate inspection is needed to assess fatigue phenomena in a gas pipeline system. Acoustic emission (AE) technology is expected to be suitable in this regard. This paper presents the monitoring and assessment of AE signatures of the fatigue mechanism of gas pipeline material, API 5L X70 steel. The stress amplitude of 65%, 60%, 58% and 53% of the ultimate tensile strength were done in order to observe AE activity during the fatigue mechanism. Field measurements were also done by investigating AE signatures of an operational gas pipeline for comparison purposes. Based on the correlation of the AE signatures and fatigue mechanism, it was found that the AE activities generated during the fatigue mechanism were divided into three different stages. Analysis of the AE features and statistical parameters have shown that the kurtosis values of the time domain AE signatures from the third stage of the fatigue mechanism were different from the field measurements. This results show that the application of the kurtosis was expected to be able to detect the time domain AE signatures from the crack stage.https://www.dropbox.com/s/55ndf9sxe9wtu9m/14_Yusof%20et%20al.pdfAcoustic emissionfatigueAPI5L X70 steelstatistical parameter. |
| spellingShingle | M.F.M. Yusof N. Jamaludin S. Abdullah Z.H. Hanafi M.S.M. Zain MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEEL Journal of Mechanical Engineering and Sciences Acoustic emission fatigue API5L X70 steel statistical parameter. |
| title | MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEEL |
| title_full | MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEEL |
| title_fullStr | MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEEL |
| title_full_unstemmed | MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEEL |
| title_short | MONITORING AND ASSESSMENT OF ACOUSTIC EMISSION SIGNATURES DURING FATIGUE MECHANISM OF API5LX70 GAS PIPELINE STEEL |
| title_sort | monitoring and assessment of acoustic emission signatures during fatigue mechanism of api5lx70 gas pipeline steel |
| topic | Acoustic emission fatigue API5L X70 steel statistical parameter. |
| url | https://www.dropbox.com/s/55ndf9sxe9wtu9m/14_Yusof%20et%20al.pdf |
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