Blockage detection in pipelines based on linear frequency modulated acoustic reflection method
Hydrate-induced pipeline blockages pose critical risks to energy infrastructure reliability and operational safety. This study proposes a novel acoustic-based structural health monitoring system integrating linear frequency modulated (LFM) signals with adaptive matched filtering, specifically design...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-10-01
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| Series: | Developments in the Built Environment |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666165925001231 |
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| _version_ | 1849252311003561984 |
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| author | Haiyuan Yao Dan Li Yan Li Bo Yang Yang Meng |
| author_facet | Haiyuan Yao Dan Li Yan Li Bo Yang Yang Meng |
| author_sort | Haiyuan Yao |
| collection | DOAJ |
| description | Hydrate-induced pipeline blockages pose critical risks to energy infrastructure reliability and operational safety. This study proposes a novel acoustic-based structural health monitoring system integrating linear frequency modulated (LFM) signals with adaptive matched filtering, specifically designed for early blockage detection in complex pipeline networks, including those in built environments. Validated via controlled experiments simulating industrial-scale conditions, the system achieved millimeter-level positioning accuracy (error <1 %) across varying blockage intensities (20–100 %), representing a 40 % precision improvement over conventional methods. The system's capability to resolve multi-stage blockage boundaries enhances predictive maintenance strategies for ensuring energy-efficient pipeline operations and infrastructure integrity management. By enabling real-time identification of incipient hydrate formation phases through acoustic signature analysis, this methodology supports sustainable infrastructure management through timely remedial interventions. Its applicability extends to intelligent building service pipelines, regional energy distribution networks, and deep-sea energy infrastructure, demonstrating significant potential for improving failure prediction and enhancing the resilience of built environment systems. |
| format | Article |
| id | doaj-art-33e6d75c6d6c4e639540933db9dbad08 |
| institution | Kabale University |
| issn | 2666-1659 |
| language | English |
| publishDate | 2025-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developments in the Built Environment |
| spelling | doaj-art-33e6d75c6d6c4e639540933db9dbad082025-08-20T03:56:41ZengElsevierDevelopments in the Built Environment2666-16592025-10-012310072310.1016/j.dibe.2025.100723Blockage detection in pipelines based on linear frequency modulated acoustic reflection methodHaiyuan Yao0Dan Li1Yan Li2Bo Yang3Yang Meng4National Key Laboratory of Marine Natural Gas Hydrate, Beijing, 100028, China; China National Offshore Oil Corporation Research Institute Ltd., Beijing, 100028, China; Corresponding author. National Key Laboratory of Marine Natural Gas Hydrate, Beijing, 100028, China.National Key Laboratory of Marine Natural Gas Hydrate, Beijing, 100028, China; China National Offshore Oil Corporation Research Institute Ltd., Beijing, 100028, ChinaNational Key Laboratory of Marine Natural Gas Hydrate, Beijing, 100028, China; China National Offshore Oil Corporation Research Institute Ltd., Beijing, 100028, ChinaNational Key Laboratory of Marine Natural Gas Hydrate, Beijing, 100028, China; China National Offshore Oil Corporation Research Institute Ltd., Beijing, 100028, China; Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian, 116024, ChinaKey Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian, 116024, China; Corresponding author. National Key Laboratory of Marine Natural Gas Hydrate, Beijing, 100028, China.Hydrate-induced pipeline blockages pose critical risks to energy infrastructure reliability and operational safety. This study proposes a novel acoustic-based structural health monitoring system integrating linear frequency modulated (LFM) signals with adaptive matched filtering, specifically designed for early blockage detection in complex pipeline networks, including those in built environments. Validated via controlled experiments simulating industrial-scale conditions, the system achieved millimeter-level positioning accuracy (error <1 %) across varying blockage intensities (20–100 %), representing a 40 % precision improvement over conventional methods. The system's capability to resolve multi-stage blockage boundaries enhances predictive maintenance strategies for ensuring energy-efficient pipeline operations and infrastructure integrity management. By enabling real-time identification of incipient hydrate formation phases through acoustic signature analysis, this methodology supports sustainable infrastructure management through timely remedial interventions. Its applicability extends to intelligent building service pipelines, regional energy distribution networks, and deep-sea energy infrastructure, demonstrating significant potential for improving failure prediction and enhancing the resilience of built environment systems.http://www.sciencedirect.com/science/article/pii/S2666165925001231PipelineBlockageAcoustic reflectionMatched filteringWavelet transformFrequency modulation |
| spellingShingle | Haiyuan Yao Dan Li Yan Li Bo Yang Yang Meng Blockage detection in pipelines based on linear frequency modulated acoustic reflection method Developments in the Built Environment Pipeline Blockage Acoustic reflection Matched filtering Wavelet transform Frequency modulation |
| title | Blockage detection in pipelines based on linear frequency modulated acoustic reflection method |
| title_full | Blockage detection in pipelines based on linear frequency modulated acoustic reflection method |
| title_fullStr | Blockage detection in pipelines based on linear frequency modulated acoustic reflection method |
| title_full_unstemmed | Blockage detection in pipelines based on linear frequency modulated acoustic reflection method |
| title_short | Blockage detection in pipelines based on linear frequency modulated acoustic reflection method |
| title_sort | blockage detection in pipelines based on linear frequency modulated acoustic reflection method |
| topic | Pipeline Blockage Acoustic reflection Matched filtering Wavelet transform Frequency modulation |
| url | http://www.sciencedirect.com/science/article/pii/S2666165925001231 |
| work_keys_str_mv | AT haiyuanyao blockagedetectioninpipelinesbasedonlinearfrequencymodulatedacousticreflectionmethod AT danli blockagedetectioninpipelinesbasedonlinearfrequencymodulatedacousticreflectionmethod AT yanli blockagedetectioninpipelinesbasedonlinearfrequencymodulatedacousticreflectionmethod AT boyang blockagedetectioninpipelinesbasedonlinearfrequencymodulatedacousticreflectionmethod AT yangmeng blockagedetectioninpipelinesbasedonlinearfrequencymodulatedacousticreflectionmethod |