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Research progress in structural health monitoring technologies for fiber-reinforced composites
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Siyi CHENG1, 2, Hechuan MA1, 3, Hongkai ZHANG1
Journal of Materials Engineering | 2026, 54(5) : 148 - 166
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Journal of Materials Engineering | 2026, 54(5): 148-166
• REVIEW •
Research progress in structural health monitoring technologies for fiber-reinforced composites
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Siyi CHENG1, 2, Hechuan MA1, 3, Hongkai ZHANG1
Affiliations
  • 1.School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China
  • 2.School of Mechanical Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China
  • 3.School of Intelligent Manufacturing Engineering,Chongqing University of Arts and Sciences,Chongqing 402160,China
Published: 2026-05-20 doi: 10.11868/j.issn.1001-4381.2025.000702
Outline
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Fiber-reinforced composites,renowned for their high specific strength,high specific modulus,exceptional fatigue resistance,and outstanding corrosion resistance,are extensively utilized across the aerospace,transportation,and energy industries. Nevertheless,under severe service conditions,the latent progression of internal damage can precipitate sudden failure,underscoring the pressing need for effective structural health monitoring (SHM) technologies. This review comprehensively summarizes the latest advancements in this field,conducting a systematic analysis of the principles,performance merits,and principal limitations of both offline nondestructive testing methods (encompassing ultrasound,X-ray/CT,infrared thermography,and acoustic emission) and online monitoring techniques (including surface-mounted strain gauges,piezoelectric and fiber-optic sensors,as well as embedded optical fiber,resistive,and piezoelectric sensors). Comparative analysis reveals that offline techniques boast high accuracy but are devoid of real-time capability,while online techniques facilitate dynamic monitoring yet are hampered by limited penetration depth and signal interpretation capabilities. Finally,the paper delineates key avenues for future development,such as the co-design of sensors and structures,multifunctional damage sensing,and intelligent signal processing for pattern recognition and predictive maintenance,offering a valuable reference for the intelligent monitoring of composites under complex service conditions.

fiber-reinforced composite  /  structural health monitoring  /  nondestructive testing  /  embedded sensing  /  damage monitoring
程思译, 马河川, 张宏凯. 纤维增强复合材料结构健康监测技术研究进展. 材料工程, 2026 , 54 (5) : 148 -166 . DOI: 10.11868/j.issn.1001-4381.2025.000702
Siyi CHENG, Hechuan MA, Hongkai ZHANG. Research progress in structural health monitoring technologies for fiber-reinforced composites[J]. Journal of Materials Engineering, 2026 , 54 (5) : 148 -166 . DOI: 10.11868/j.issn.1001-4381.2025.000702
Year 2026 volume 54 Issue 5
71
32
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Article Info
doi: 10.11868/j.issn.1001-4381.2025.000702
  • Receive Date:2025-11-29
  • Online Date:2026-10-27
  • Published:2026-05-20
Article Data
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History
  • Received:2025-11-29
  • Accepted:2025-12-30
Affiliations
    1.School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China
    2.School of Mechanical Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China
    3.School of Intelligent Manufacturing Engineering,Chongqing University of Arts and Sciences,Chongqing 402160,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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