李晖, 吴腾飞, 李则霖, 孙伟, 闻邦椿. 基于非接触激振-测振一体化技术的纤维增强复合材料参数辨识研究[J]. 工程力学, 2019, 36(12): 227-234. DOI: 10.6052/j.issn.1000-4750.2019.01.0010
引用本文: 李晖, 吴腾飞, 李则霖, 孙伟, 闻邦椿. 基于非接触激振-测振一体化技术的纤维增强复合材料参数辨识研究[J]. 工程力学, 2019, 36(12): 227-234. DOI: 10.6052/j.issn.1000-4750.2019.01.0010
LI Hui, WU Teng-fei, LI Ze-lin, SUN Wei, WEN Bang-chun. PARAMETER IDENTIFICATION OF FIBER-REINFORCED COMPOSITE MATERIAL BASED ON THE NON-CONTACT VIBRATION EXCITATION-MEASURING INTEGRATED TECHNOLOGY[J]. Engineering Mechanics, 2019, 36(12): 227-234. DOI: 10.6052/j.issn.1000-4750.2019.01.0010
Citation: LI Hui, WU Teng-fei, LI Ze-lin, SUN Wei, WEN Bang-chun. PARAMETER IDENTIFICATION OF FIBER-REINFORCED COMPOSITE MATERIAL BASED ON THE NON-CONTACT VIBRATION EXCITATION-MEASURING INTEGRATED TECHNOLOGY[J]. Engineering Mechanics, 2019, 36(12): 227-234. DOI: 10.6052/j.issn.1000-4750.2019.01.0010

基于非接触激振-测振一体化技术的纤维增强复合材料参数辨识研究

PARAMETER IDENTIFICATION OF FIBER-REINFORCED COMPOSITE MATERIAL BASED ON THE NON-CONTACT VIBRATION EXCITATION-MEASURING INTEGRATED TECHNOLOGY

  • 摘要: 该文综合利用了平面声波激励和激光高精度测振的优势,提出了基于非接触激振-测振一体化技术的纤维增强复合材料参数辨识方法。以该类型复合材料薄板为例,建立了其在平面声波激励下的理论模型,并结合经典层合板理论、复模量法、应变能等方法,通过公式推导,实现了时域振动响应的理论求解。在理论结合实测数据的基础上,通过粒子群迭代求解方式,成功辨识获得了CF140碳纤维/环氧树脂材料的各项材料参数。通过与厂家提供的材料参数进行对比,发现该方法不仅在弹性模量、泊松比获取上具有较高的辨识精度,而且还可辨识出的材料在纤维纵向、横向和剪切方向的损耗因子。

     

    Abstract: A parameter identification method of fiber-reinforced composite material was proposed based on the non-contact vibration excitation-measuring integrated technology. The advantages of planar acoustic wave excitation and high-precision laser vibration measurement were comprehensively utilized. Firstly, by taking a composite thin plate of this kind as an example, a theoretical model under planar acoustic wave excitation was established. A theoretical solution to the time-domain vibration response was also obtained through the formula derivation, which was combined with the classical laminate theory, complex modulus method, strain energy method, etc. Subsequently, based on theoretical and measured data, the material parameters of CF140 carbon fiber/epoxy resin were successfully identified by the particle swarm iterative-solving method. By comparing with the material parameters provided by the manufacturer, it was found that this method not only had a high identification accuracy when acquiring the elastic moduli and Poisson's ratios, but also could identify the loss factors in the longitudinal, transverse and shear directions of fiber-reinforced composite material.

     

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