Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement Data
We developed a health-monitoring methodology for high-temperature steam pipes that estimated the life prediction of creep–fatigue interaction by directly measuring the displacement of hot parts. Three different methods (boiler code, design stress, and operating stress) were used to estimate the stre...
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| Format: | Article |
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MDPI AG
2021-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/5/2256 |
| _version_ | 1797414896871145472 |
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| author | Woosung Choi Jihoon Han |
| author_facet | Woosung Choi Jihoon Han |
| author_sort | Woosung Choi |
| collection | DOAJ |
| description | We developed a health-monitoring methodology for high-temperature steam pipes that estimated the life prediction of creep–fatigue interaction by directly measuring the displacement of hot parts. Three different methods (boiler code, design stress, and operating stress) were used to estimate the stress of the high-temperature pipe system. As a theoretical approach, the German boiler standard code calculates the stress according to the pipe shape, while design stress, which is also called allowable stress, was determined by a function of the operating temperature. The operating stress was immediately calculated using the surrogate model, with maximum displacement measured using the 3D displacement measurement system. To achieve the surrogate model, the stress was estimated by the pipe-stress analysis under the given displacements, and the surface-response model was developed to relate the stress and displacement. We showed that those methods are efficient methods to predict the stress and are applicable in health-monitoring methodology. Finally, the creep life and the low-cycle fatigue life were investigated using the Larson–Miller parameter equation, as well as the Smith, Hirschberg, and Manson equations. Our proposed monitoring system can be used to predict the fatigue and creep life of high-temperature steam pipes in real time, and we believe that the system can be applied to actual maintenance in thermal power plants. |
| first_indexed | 2024-03-09T05:40:38Z |
| format | Article |
| id | doaj.art-d86f583e437a4d8bae23d98542e0a96d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T05:40:38Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d86f583e437a4d8bae23d98542e0a96d2023-12-03T12:25:39ZengMDPI AGApplied Sciences2076-34172021-03-01115225610.3390/app11052256Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement DataWoosung Choi0Jihoon Han1R&D Planning Office, KEPCO Research Institute, 105 Munji-ro, Yuseong-gu, Daejeon 34056, KoreaDepartment of Mechanical Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, KoreaWe developed a health-monitoring methodology for high-temperature steam pipes that estimated the life prediction of creep–fatigue interaction by directly measuring the displacement of hot parts. Three different methods (boiler code, design stress, and operating stress) were used to estimate the stress of the high-temperature pipe system. As a theoretical approach, the German boiler standard code calculates the stress according to the pipe shape, while design stress, which is also called allowable stress, was determined by a function of the operating temperature. The operating stress was immediately calculated using the surrogate model, with maximum displacement measured using the 3D displacement measurement system. To achieve the surrogate model, the stress was estimated by the pipe-stress analysis under the given displacements, and the surface-response model was developed to relate the stress and displacement. We showed that those methods are efficient methods to predict the stress and are applicable in health-monitoring methodology. Finally, the creep life and the low-cycle fatigue life were investigated using the Larson–Miller parameter equation, as well as the Smith, Hirschberg, and Manson equations. Our proposed monitoring system can be used to predict the fatigue and creep life of high-temperature steam pipes in real time, and we believe that the system can be applied to actual maintenance in thermal power plants.https://www.mdpi.com/2076-3417/11/5/2256main steam pipesurrogate modelcreep–fatigue interactionlife prediction |
| spellingShingle | Woosung Choi Jihoon Han Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement Data Applied Sciences main steam pipe surrogate model creep–fatigue interaction life prediction |
| title | Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement Data |
| title_full | Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement Data |
| title_fullStr | Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement Data |
| title_full_unstemmed | Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement Data |
| title_short | Health-Monitoring Methodology for High-Temperature Steam Pipes of Power Plants Using Real-Time Displacement Data |
| title_sort | health monitoring methodology for high temperature steam pipes of power plants using real time displacement data |
| topic | main steam pipe surrogate model creep–fatigue interaction life prediction |
| url | https://www.mdpi.com/2076-3417/11/5/2256 |
| work_keys_str_mv | AT woosungchoi healthmonitoringmethodologyforhightemperaturesteampipesofpowerplantsusingrealtimedisplacementdata AT jihoonhan healthmonitoringmethodologyforhightemperaturesteampipesofpowerplantsusingrealtimedisplacementdata |