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Research Progress of Fiber Reinforced Composites Based on Acoustic Emission
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Hui LUO1, Ze-liang WANG1, Wen-guang ZENG1, Jia-xu MIAO2, Ming-zhang ZHUANG2, Dong-hai YANG2, *, Zhao-liang WANG2
Science Technology and Engineering | 2025, 25(11) : 4397 - 4410
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Science Technology and Engineering | 2025, 25(11): 4397-4410
• Surveies·Petroleum and Natural Gas Industry •
Research Progress of Fiber Reinforced Composites Based on Acoustic Emission
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Hui LUO1, Ze-liang WANG1, Wen-guang ZENG1, Jia-xu MIAO2, Ming-zhang ZHUANG2, Dong-hai YANG2, *, Zhao-liang WANG2
Affiliations
  • 1 Sinopec Northwest China Petroleum Bureau, Urumqi 830011, China
  • 2 College of Pipeline and Civil Engineering, China University of Petroleum (Huadong), Qingdao 266580, China
Published: 2025-04-18 doi: 10.12404/j.issn.1671-1815.2404015
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During the manufacturing and application of fiber-reinforced composites (FRP), issues such as impact damage and fatigue accumulation cause irreversible subtle damage to the internal structure. Acoustic emission (AE) technology, with its high precision and real-time property, has become an important means to monitor the damage evolution and failure mechanisms of FRP. The applications of acoustic emission technology in the damage characterization of FRP in recent years was reviewed. By conducting research on AE technical means such as parameter analysis, waveform analysis, pattern analysis, and deep-learning analysis, the results showed that parameter analysis and waveform analysis could complement each other in terms of signal characteristics during the detection process, achieving a qualitative description of damage behaviors such as the deformation and fracture of composite structures. Methods such as deep-learning analysis provided important theoretical support for the health monitoring and life prediction of fiber-reinforced composites. Overall, acoustic emission technology can monitor and evaluate the composite structures in operation in real-time. It has great development potential for maintaining the health of FRP materials and preventing sudden failures. In the future, it can be further combined with artificial intelligence technology to improve the accuracy and efficiency of damage identification.

FRP composite materials  /  acoustic emission  /  damage analysis  /  signal analysis  /  deep learning
Hui LUO, Ze-liang WANG, Wen-guang ZENG, Jia-xu MIAO, Ming-zhang ZHUANG, Dong-hai YANG, Zhao-liang WANG. Research Progress of Fiber Reinforced Composites Based on Acoustic Emission[J]. Science Technology and Engineering, 2025 , 25 (11) : 4397 -4410 . DOI: 10.12404/j.issn.1671-1815.2404015
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Year 2025 volume 25 Issue 11
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Article Info
doi: 10.12404/j.issn.1671-1815.2404015
  • Receive Date：2024-05-30
  • Online Date：2025-07-09
  • Published：2025-04-18
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  • Received：2024-05-30
  • Revised：2024-10-29
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    1 Sinopec Northwest China Petroleum Bureau, Urumqi 830011, China
    2 College of Pipeline and Civil Engineering, China University of Petroleum (Huadong), Qingdao 266580, China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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