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基于模态声发射的碳纤维增强复合材料损伤机制识别

Damage mechanism identification of carbon fiber reinforced polymer based on modal acoustic emission
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摘要 针对碳纤维增强复合材料(CFRP)损伤机制复杂、损伤声发射信号识别困难的问题,本文提出了一种基于模态分离方法的CFRP损伤信号识别分类算法,可实现CFRP损伤声发射信号的模态表征。首先,基于CFRP层合板模拟声源模态分析结果设计不同范围的数字滤波器,实现了声发射信号中的S_(0)、A_(0)模态分离;随后,根据纤维断裂和基体开裂单一损伤信号的模态特征,建立了损伤信号的识别分类算法,并验证了其对单一损伤信号的分辨率;最后,利用算法对层合板面内弯曲损伤信号进行分析,验证其在CFRP完整结构损伤信号识别中的有效性。结果表明,该算法在纤维断裂和基体开裂试验中的分辨率分别高达97.3%和92%,同时也实现了CFRP层合板的损伤过程表征,证明其可实现CFRP完整结构损伤机制的识别。 As a new material with high performance,Carbon Fiber Reinforced Polymer(CFRP)have been widely used in aerospace,new energy vehicles and other fields because of their high specific strength,specific modulus and fatigue resistance.However,it will be affected by fatigue,creep and other factors during its service,resulting in internal damage to the structure,consequently reducing the safety and reliability of the material.Nowadays,the damage detection and evaluation of CFRP has become a research hotspot.At present,acoustic emission detection technology has been widely used in the damage detection of CFRP.With its unique ability of on-line and continuous monitoring,the damage process of materials can be monitored and evaluated in real time.However,due to the complexity of damage mechanism in CFRP,there are still some problems in the correct identification of damage acoustic emission signals.For this reason,an algorithm for identifying and classifying damage signals of CFRP based on modal separation method was proposed in this paper,which could realize the modal characterization of damage acoustic emission signals of composites.First of all,based on the modal analysis results of simulated sound sources of CFRP laminate,different ranges of digital filters were designed to realize the separation of S_(0)and A_(0)modes in acoustic emission signals.Then,according to the modal characteristics of the single damage type signals of fiber breakage and matrix cracking,the identification and classification algorithm of damage signals was established,and its resolution to the single damage type signals was verified.Finally,the algorithm was used to analyze the in-plane bending damage signals of laminates to verify its effectiveness in the identification of complete structural damage signals of CFRP.The results show that the resolution of this algorithm in fiber breakage and matrix cracking tests is as high as 97.3%and 92%respectively,and the damage process characterization of carbon fiber composite laminates is also realized.It is proved that it can be used to identify the damage mechanism of complete structures of CFRP.
作者 张宏远 蒋鹏 宋佳宇 李伟 张志远 李彩瑞 闫孝伟 ZHANG Hong-yuan;JIANG Peng;SONG Jia-yu;LI Wei;ZHANG Zhi-yuan;LI Cai-rui;YAN Xiao-wei(School of Mechanical Science and Engineering,Northeast Petroleum University,Daqing 163318,China;State Key Laboratory of Pollutant Control and Treatment,CNPC Safety and Environmental Technology Research Institute Co,Ltd.,Beijing 102206,China)
出处 《复合材料科学与工程》 CAS 北大核心 2021年第8期11-17,共7页 Composites Science and Engineering
基金 国家重点研发计划(2017YFC0805604) 污染物控制与处理国家重点实验室实验方法研究与运行维护(2019D-5006-62) 东北石油大学青年科学基金项目(2018QNL-32)。
关键词 碳纤维增强复合材料 模态声发射 损伤识别 LAMB波 模态分离 CFRP modal acoustic emission damage identification Lamb wave mode separation
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