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A new methodology for thermoelastic model identification in composite materials using digital image correlation
Optics and Lasers in Engineering ( IF 3.5 ) Pub Date : 2021-06-02 , DOI: 10.1016/j.optlaseng.2021.106689
Francisco de Sá Rodrigues , Ricardo Marques , Isa Emami Tabrizi , Adnan Kefal , Hafiz Qasim Ali , Mehmet Yildiz , Afzal Suleman

Local strain measurement techniques, such as strain gauges or extensometers, have been broadly utilized as input data source for thermoelastic effect model identification in fiber-reinforced polymers, despite their well-known high heterogeneity. This experimental setup strongly limits the possibility of assigning thermoelastic models in a local-based manner for posterior Thermoelastic Stress Analysis. This issue has been addressed herein through proposing a novel method for spatial identification of thermoelastic models in composite structures using full-field experimental measurements. The proposed concept is validated by conducting tests on laminated tensile coupons with various stacking sequences. To this end, the displacements and thermal data collected from Digital Image Correlation and infrared camera, respectively, are interpolated to a mutual background mesh using a Smoothing Element Analysis. It is shown that this procedure results in a continuous strain field and a reconstructed thermal map for the laminate domain at various loading stages. The resulting smoothed strain map is used as the input for three different thermoelastic models, followed by a comparison of the calculated analytic temperature variations for each model against the infrared camera’s measurements. The relative error associated to this model assignment process is underlined, and it is revealed a significant effect of material properties variability in the accuracy of the method. It is shown that the proposed methodology can circumvent inaccuracies of the conventional Thermoelastic Stress Analysis method, while providing a viable and computationally efficient method for the selection of appropriate thermoelastic models at the local level.



中文翻译:

一种基于数字图像相关性的复合材料热弹性模型识别新方法

尽管众所周知,局部应变测量技术(例如应变仪或引伸计)已被广泛用作纤维增强聚合物中热弹性效应模型识别的输入数据源。该实验设置极大地限制了以基于局部的方式为后热弹性应力分析分配热弹性模型的可能性。本文通过提出一种使用全场实验测量对复合结构中的热弹性模型进行空间识别的新方法来解决这个问题。通过对具有各种堆叠顺序的层压拉伸试样进行测试,验证了所提出的概念。为此,分别从数字图像相关和红外相机收集的位移和热数据,使用平滑元素分析插入到相互背景网格中。结果表明,该过程会在不同的加载阶段产生连续的应变场和层压域的重建热图。得到的平滑应变图用作三个不同热弹性模型的输入,然后将每个模型的计算分析温度变化与红外相机的测量值进行比较。与此模型分配过程相关的相对误差被加下划线,它揭示了材料特性可变性对方法准确性的显着影响。结果表明,所提出的方法可以避免传统热弹性应力分析方法的不准确性,

更新日期:2021-06-02
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