聚乙烯自增强复合材料损伤过程的声发射特征

复合材料在承受外载时, 声发射可产生于基体破裂、纤维-基体界面脱粘和纤维断裂等。测定了U HMWPE/ HDPE 复合材料在拉伸载荷作用下的声发射(AE) 振幅信号。对特殊试样, 即预测到断裂有明确方式, 如纤维-基体界面脱粘、基体破裂、纤维断裂和分层等的试样, 实施加载直至破坏。用扫描电子显微镜(SEM) 观测试样的断裂表面, 对产生于若干特殊损伤类型的AE 信号进行了鉴别。在相同加载条件下, 完成了不同种类的U HMWPE/ HDPE 准各向同性层合板声发射检测。结果在特殊试样损伤类型与声发射信号事件振幅之间建立了对应关系, 揭示了上述各种准各向同性层合板损伤扩展过程的AE 特征与损伤破坏机制。各种准各向同性层合板试样的声发射事件累计数对拉伸应力关系曲线相异, 其相同损伤类型发生时所对应的拉伸载荷水平不等, 表明它们的铺设角度和铺设顺序对损伤演变过程有显著的影响。结果证实了它们的最终破坏由严重层间分层造成。      

织物结构对复合材料力学性能影响的试验研究

为探讨不同结构形式织物对复合材料力学性能的影响及其损伤破坏机制之间的差异,通过宏观拉压试验,研究了经编及平纹碳纤维织物增强树脂基复合材料的拉伸及压缩力学性能,并利用声发射对试验过程进行实时监测,对破坏后的断口进行显微镜观察分析,分别给出了两种材料的拉伸和压缩破坏机制.研究结果表明:织物结构形式对复合材料的力学性能有较大影响,与经编织物复合材料相比,平纹织物复合材料的拉伸、压缩强度均较低,且其拉伸、压缩破坏试样的断口相对齐平,分层现象不明显;根据声发射监测结果可以判定两种复合材料损伤过程中的损伤类型,与经编织物相比,平纹织物复合材料拉/压过程中的声发射电压信号相对稳定且整体强度较低.     

基于声发射信号模式识别的UHMWPE/LDPE复合材料损伤机制分析

测定了 U HMWPE/ LDPE复合材料在准静态拉伸作用下的声发射 (AE) 信号 , 用无监督模式识别方法对预处理后的 AE信号进行分类 , 据此分析了几种试样 (0° 、90° 和 [ + 45° / - 45° ]) 的损伤机制。研究表明 ,模式识别 (PR) 方法能识别出试样中基体开裂、 纤维2基体界面脱粘、 纤维抽拔和纤维断裂等损伤模式 , 识别结果与利用扫描电子显微镜 (SEM) 对破坏断面观察得到的结果一致。U HMWPE/ LDPE复合材料的 AE信号特征只受损伤模式的影响而与试样类型无关 , PR方法能有效地区分不同损伤模式的 AE信号 , 每种损伤模式的 AE信号累计数对应变的关系曲线能清楚地反映复合材料的损伤进程。AE信号的 PR分析为复合材料的损伤机制分析提供了准确依据。      

基于声发射信号的三维针刺C/SiC复合材料拉伸损伤演化研究

本研究对三维针刺C/SiC(3-dimension needled C/SiC, 3D-N C/SiC)复合材料进行室温单调拉伸和拉伸加载-卸载试验, 利用声发射技术对试样损伤演化进行动态监测。采用K-均值聚类分析方法对小波降噪后的声发射信号进行了损伤模式识别, 结合试样断口扫描电镜观测, 发现3D-N C/SiC复合材料在拉伸载荷作用下主要存在五类损伤模式: 基体开裂、界面脱粘、界面滑移、纤维断裂和纤维束断裂。通过快速傅里叶变换(FFT)方法对小波降噪后的信号进行频谱分析得出: 3D-N C/SiC复合材料在拉伸载荷作用下主要存在240、370和455 kHz三种频率的损伤信号, 分别对应于界面损伤、基体损伤和纤维损伤。结合单调拉伸试验过程声发射信号能量柱分布和加卸载过程累积能量曲线特征, 分析了试样损伤演化机理。     

芳纶纤维/环氧树脂复合材料损伤与断裂过程的声发射特性

研究了芳纶/环氧复合材料在承受拉伸载荷时的损伤与断裂行为.发现不同损伤类型表现出不同的声发射特性,从声发射信号的某几种关联图中可以较好地判断损伤发生的类型,并可根据某些声发射特征参量值对临界承载值进行合理的确定.     

APMOC/环氧复合材料层板破坏过程声发射特征

本文利用声发射测试技术,对APMOC/环氧复合材料各种铺层的单层板、层合板的损伤机理和破坏过程进行了详细的研究。结果表明,在不同的声发射信号参量特征与不同的损伤机理之间存在对应关系。声发射信号参量的变化过程能够描述层板的动态损伤过程,不同的声发射参量表征层板的不同损伤过程与机理。     

3D C/SiC复合材料拉伸性能的声发射研究

采用声发射平均频率和相对能量以及幅值识别了3D C/SiC复合材料的拉伸损伤模式, 探讨了拉伸加卸载过程中材料的费利西蒂(Felicity)效应。通过分析具有不同拉伸性能试样的损伤过程, 研究了不同损伤模式的时间分布特征对材料拉伸性能的影响关系。分析结果表明, 3D C/SiC复合材料中基本不存在凯瑟(Kaiser)效应, Felicity比随着应力水平的升高而降低, 相对应力水平高于65%时出现突降。3D C/SiC复合材料高性能的决定性因素不是声发射波击总数, 而是高幅高能量信号发生的时间和次数。在加载前期(应变<0.15%)损伤较少是材料高强度的必要条件, 纤维簇断裂在加载中后期的分散分布有利于提高拉伸强度。      

碳纤维复合材料拉伸损伤声发射信号MC-ApEn分析

采用滑动移除近似熵(MC-ApEn)分析碳纤维环氧树脂复合材料拉伸损伤过程中产生的声发射信号。从信号的无序性、复杂性及动力学平衡角度描述基体开裂、纤维/基体脱胶及纤维断裂三种典型声发射信号的近似熵谱特征并给出相应解释。用MC-ApEn分析载荷、计数、声发射能量与时间的相关曲线。由不同趋势间过渡引起的近似熵突变发现,拉伸断裂过程被两结构突变时间点划分为三个不同阶段,并据其演进特点推荐复合材料拉伸失效的临界载荷。     

蜂窝夹层复合材料压缩损伤声发射特征研究

应用声发射技术对蜂窝夹层复合材料压缩损伤过程进行了实验研究。分析载荷与声发射信号经历图,依据其损伤过程和声发射特征,发现随着加载载荷的增加,复合材料的损伤逐步增大。在加载初始阶段,仅有少量声发射信号,各种表征信号量小幅度增加;在加载中期,声发射信号增多,各种表征信号量不断增大;在加载后期,声发射信号明显突增,各种表征信号量急剧增加。复合材料压缩损伤破坏与声发射的幅值、能量、撞击、上升时间、持续时间和计数等参量相关。蜂窝夹层复合材料试件的应力-应变曲线近似为直线,应变速率与声发射信号特征相互对应。     

碳纤维增强环氧树脂复合材料螺栓连接结构在拉伸载荷下损伤过程的声发射分析

采用声发射技术对不同几何尺寸的碳纤维增强环氧树脂复合材料（CFRP）螺栓连接结构在静力载荷下破坏行为进行了试验研究,比较了不同几何构型下的连接结构的破坏行为与声发射信号之间的映射关系。采用声发射技术对结构损伤过程中的声发射信号进行全程采集与转换,结合CFRP螺栓结构的载荷-位移曲线和宏/细观破坏形貌,分析了幅值、熵曲线和Andrews曲线与破坏行为之间的关系。结果表明:挤压与剪切破坏试件的载荷-位移曲线均呈现出较明显的塑性特征。结构发生挤压和剪切破坏时,声发射信号以中幅值信号为主,并伴随少量高幅值信号;结构发生拉伸破坏时对应的幅值为中幅值信号。根据熵曲线特征将CFRP连接结构破坏过程分为四个阶段,在损伤演化阶段发生纤维断裂、分层等失效模式,在结构失效阶段以分层失效为主。基于Andrews曲线分析得到挤压和拉伸失效模式在损伤演化阶段会出现多种损伤类型,剪切失效模式在结构失效阶段会出现多种损伤类型。      

Effects of fiber orientation on the acoustic emission and fracture characteristics of composite laminates

The effects of fiber orientation on acoustic emission (AE) characteristics have been studied for various composite laminates. Reflection and transmission optical microscopy were used to investigate the damage zone of specimens. AE signals were classified through short time Fourier transform (STFT) as different types: AE signals with a high intensity and high frequency band were due to fiber fracture, while weak AE signals with a low frequency band were due to matrix cracking and/or interfacial cracking. Characteristic feature in the rate of hit-events having high amplitudes showed a procedure of fiber breakages, which expressed the characteristic fracture processes of notched fiber-reinforced plastics with different fiber orientations. As a consequence, the behavior of fracture in the continuous composite laminates could be monitored through nondestructive evaluation (NDE) using the AE technique.     

Damage Mode Identification for the Clustering Analysis of AE Signals in Thermoplastic Composites

An objective analytical procedure for the investigation of damage mechanisms in the thermoplastic self-reinforced polyethylene (UHMWPE/PE) composites under quasi-static tensile load has been established, using Unsupervised Pattern Recognition (UPR) technique for the clustering task of Acoustic Emission (AE) signals. Focus is on the correlating between the obtained classes and their specific damage mechanisms. This was carried out by waveform visualization and Fast Fourier Transform analysis. Pure resin and fiber bundles were tested to collect typical waveforms of matrix cracking and fiber fracture respectively, in order to label the signal classes in the composites. The evolution process of various damage mechanisms in the composites revealed that the correlating method was effective. The AE characteristics of different damage modes found out in this study can be used as the reference for identifying unknown AE signals in the UHMWPE/PE composites. The established procedure is also potential in the investigation of failure mechanisms for composite materials with UPR technique.     

Detection of microfracture processes in composite laminates by thermo-acoustic emission

The damage process in composite laminates subjected to cryogenic cooling was monitored employing a thermo-acoustic emission (AE) technique. The thermo-AE signals processed with a short-time Fourier transform could be classified into three different types which were correlated with individual microfracture processes. In the initial stage of cryogenic cooling, very strong AE signals with low and high frequency bands were dominantly detected showing that large cracks accompanying fiber breakages were developed mainly. With an increase in the cooling time, weak emissions with low frequency bands became prevalent indicating the propagation of microfractures in the matrix and/or fiber-matrix interface. Similar types of AE signals, however, having weak amplitudes, were also observed for the cryogenically-treated specimens during thermal heating and cooling load cycles. Thus, analysis of thermo-AE behavior through the thermal load cycle led to the nondestructive evaluation for the cryogenic damage of composites.     

丁腈橡胶含量对高模量碳/环氧复合材料力学性能的影响

本文对基体中四种不同丁腈橡胶含量(0,10%,15%,20%)的高模量碳纤维增强环氧复合材料进行了层间剪切、弯曲、拉伸及阻尼性能的实验,用声发射技术监测了微结构损伤并分析了其断裂形貌,比较了四组不同丁腈橡胶含量的碳/环氧复合材料的各项力学性能;得到了这种复合材料的最佳丁腈橡胶含量,并讨论了宏观力学性能与微结构破坏的关系。      

Analysis of fracture process in single-edge-notched laminated composites based on the high amplitude acoustic emission events

The objective of this study is to analyze the fracture process of single-edge-notched (SEN) laminated composites with different lay-up configurations and different fiber composite systems based on the behavior of high amplitude acoustic emission (AE) signals. The classification of signal type according to the dominant frequency band and its magnitude via FFT, combined with the microscopic observations under reflection and transmission optical microscopy, have been also performed in order to support the effectiveness of the analysis based on the high amplitude AE signals. It has been shown that the behavior of high amplitude event rate describes well the fracture process in the SEN laminated composites with different fiber orientations; the direction of the main crack propagation in SEN laminated composites is decisively affected by the fiber orientation and is irrespective of the initial notch direction. Finally, the AE characteristics for SEN laminated composites have been summarized in association with the individual fracture process.     

Electron emission and acoustic emission from the fracture of graphite/epoxy composites

In past studies it has been shown that the fracture of materials leads to the emission of a variety of species, including electrons, ions, neutral molecules, and photons, all encompassed by the term fracto-emission (FE). In this paper we examine electron emission (EE) from the fracture of single graphite fibres and neat epoxy resin. We also combine measurements of EE with the detection of acoustic emission (AE) during the testing of graphite-epoxy composite specimens with various fibre orientation. The characteristics of these signals are related to known failure mechanisms in fibre-reinforced plastics. This study suggests that by comparing data from AE and FE meausrements, one can detect and distinguish the onset of internal and external failure in composites. EE measurements are also shown to be sensitive to the locus of fracture in a composite material.     

Monitoring of Impacted Aramid-Reinforced Composites by Embedded PVDF Acoustic Emission Sensors

Abstract:  An embedded piezoelectric [poly(vinylidene fluoride) (PVDF)] thin film sensors system for acoustic emission (AE) was realized to investigate the possibility of monitoring, in real time, the post-impact damage in aramid woven fabric-reinforced epoxy. The same sensors have been used in a previous work on similar specimens tested in flexure but not previously impacted, with the aim of verifying the suitability of these sensors to be embedded and their ability to detect AE signals under loading. This work is a continuation of the previous one aiming at evaluating the ability of these embedded PVDF sensors to point out the presence of impact damage, issue widely studied in literature. Aramid fibre/epoxy composite specimens with embedded PVDFs, previously impacted at different energies, namely 5, 10 and 15 J, were tested using three-point bending tests. It appeared from mechanical tests that the flexural strength decreased passing from non-impacted specimens to those impacted with the highest energy and that the embedment of PVDFs in the laminates did not markedly affect the structural integrity of the impacted composites. The degree of impact damage, represented by the decrease in mechanical properties, has been correlated with the AE activity by means of a parametric analysis of the AE signals detected during post-impact mechanical tests.