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Modeling of 3D woven composites using the digital element approach for accurate prediction of kinking under compressive loads

机译:使用数字元素方法对3D编织复合材料进行建模以准确预测压缩载荷下的扭结

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Model definition accuracy dictates the reliability of a predictive analysis for 3D woven composites (3DWC). The traditional modeling approach is based on analysis of ideal geometry with user specified imperfections. In that case, co-relating the actual imperfections arising from manufacturing processes with that of the model becomes an iterative process. In this study, a digital element (DE) approach is implemented for creating the woven architecture of the composite. This technique simulates the individual fibers and their interactions allowing the user to create a reference unit cell with imperfect geometry induced during manufacturing stages of 3DWCs. Thus the response and strength analysis account for the unique weaving signature and provide better predictions without the necessity to run iterative analysis procedures required for idealized geometry models. X-ray CT images or detailed statistical data for variations in specimen geometry are not required which makes this approach more attractive in terms of cost and creation time. A representative model created using the DE approach is used for prediction of compressive failure of 3DWC without having to seed imperfections for failure initiation. The analysis also captures the formation of a kink band as observed in experimental tests. Results of this study are compared with the experimental results and simulation results of idealized geometry reported previously in literature. (C) 2016 Elsevier Ltd. All rights reserved.
机译:模型定义的准确性决定了3D机织复合材料(3DWC)的预测分析的可靠性。传统的建模方法基于对具有用户指定缺陷的理想几何形状的分析。在那种情况下,将制造过程中产生的实际缺陷与模型的缺陷联系起来就成为一个迭代过程。在这项研究中,采用了数字元素(DE)方法来创建复合材料的机织体系结构。该技术模拟了单个纤维及其相互作用,从而使用户可以创建具有在3DWC的制造阶段中引入的不完美几何形状的参考晶胞。因此,响应和强度分析说明了独特的编织特征,并提供了更好的预测,而无需运行理想化几何模型所需的迭代分析程序。不需要X射线CT图像或用于样本几何形状变化的详细统计数据,这使得该方法在成本和创建时间方面更具吸引力。使用DE方法创建的代表性模型可用于预测3DWC的压缩失败,而无需为启动失败而植入缺陷。该分析还捕获了在实验测试中观察到的扭结带的形成。将该研究结果与先前文献中报道的理想化几何形状的实验结果和模拟结果进行比较。 (C)2016 Elsevier Ltd.保留所有权利。

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