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纤维增强复合材料结构健康监测技术研究进展OA

Research progress in structural health monitoring technologies for fiber-reinforced composites

中文摘要英文摘要

纤维增强复合材料以高比强度、高比模量、优良疲劳与耐腐蚀性能,在航空航天、交通运输及能源等领域得到广泛应用.然而,在严苛服役环境下,其内部损伤的隐蔽演化可能导致突发性失效,亟须高效的结构健康监测(structural health monitoring,SHM)技术.本文综述了该领域的研究进展,从离线无损检测(包括超声、X射线/CT、红外热成像、声发射)和在线监测(表面式应变计、压电、光纤传感器,嵌入式光纤、电阻及压电传感器)两方面系统分析了原理、性能优势以及主要局限.对比结果表明:离线技术精度高但无法实时,在线技术可实现动态监测,但存在深度不足与信号解析能力有限等问题.最后,概述了未来发展关键方向,包括传感器与结构的协同设计、多功能损伤感知以及面向模式识别和预测性维护的智能信号处理,为复杂服役条件下复合材料的智能化监测提供参考.

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.

程思译;马河川;张宏凯

西安交通大学 机械工程学院,西安 710049||浙江理工大学 机械工程学院,杭州 310018西安交通大学 机械工程学院,西安 710049||重庆文理学院 智能制造工程学院,重庆 402160西安交通大学 机械工程学院,西安 710049

通用工业技术

纤维增强复合材料结构健康监测无损检测嵌入式传感损伤监测

fiber-reinforced compositestructural health monitoringnondestructive testingembedded sensingdamage monitoring

《材料工程》 2026 (5)

148-166,19

10.11868/j.issn.1001-4381.2025.000702

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