高分子复合材料在弯曲载荷下形成的损伤及其声发射识别研究

A. Bryansky, O. Bashkov, I. Belova, T. Bashkova
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摘要

玻璃纤维增强聚合物复合材料(PCM)以其独特的性能(高耐化学性和高比强度)和经济的使用效率在许多行业中占有重要的地位。同时,玻璃织物作为增强元件的应用确保了高制造性。然而,与晶体材料不同,聚合物复合材料受到复杂的破坏过程,这需要应用非破坏性控制方法来获得有关所产生的损伤性质及其积累动力学的信息。本文研究了T-11-GVS-9玻璃织物和DION 9300 FR粘结剂在声发射(AE)法下的静态弯曲变形下玻璃纤维样品的劣化现象。在这项工作中,作者利用记录的声发射信号的傅立叶谱解决了识别玻璃纤维损伤性质的问题。作者利用聚类方法估计了它们的形成和发展动力学。基于Kohonen自组织映射(SOM)算法,对玻璃纤维试样在静态弯曲变形下记录的声发射信号计算傅立叶谱的峰值频率进行聚类。为了保证根据声发射参数产生的损伤的可分性,作者采用了比国家标准计算的加载速率低十倍的加载速率。研究表明,利用玻璃纤维破坏过程中记录的声发射信号的频率表示,可以有效地解决识别损伤性质的问题。研究结果表明,多层复合材料在弯曲过程中形成的分层过程是导致聚合物复合材料强度性能显著下降的关键破坏机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of damages formed in polymer composite materials under bending loading and their identification by the acoustic emission technique
Polymer composite materials (PCM) reinforced with glass fibers are very important in many industries due to their unique properties (high chemical resistance and specific strength) with the economic efficiency of use. At the same time, the application of glass fabrics as reinforcing elements ensures high manufacturability. However, unlike crystalline materials, polymer composite materials are subject to the complex process of destruction, which requires the application of non-destructive control methods to get information about the nature of the resulting damage and the kinetics of their accumulation. The paper studies the deteriorations formed in the fiberglass samples molded using T-11-GVS-9 glass fabric and DION 9300 FR binder within static bending deformation accompanied by the acoustic emission (AE) method. In this work, the authors solved the problem of identifying the nature of damages in fiberglass using the Fourier spectra of the recorded AE signals. The authors used the clustering method to estimate their formation and development kinetics. Clustering was performed based on the Kohonen self-organizing map (SOM) algorithm using the values of peak frequencies of the Fourier spectra calculated for the recorded AE signals under static bending deformation of a fiberglass sample up to failure. To ensure the separability of the resulting damages according to the AE parameters, the authors used the loading rate that was ten times lower than that calculated according to the state standard. The study established that the application of frequency representation of AE signals recorded during the fiberglass destruction is effective when solving the task of identifying the nature of the resulting damages. As a result of the study, the authors found that the process of delamination formation during the bending of multilayer laminated plastics acts as a critical mechanism of destruction leading to a significant loss of the polymer composite strength properties.
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