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Numerical simulation of the mechanical behavior of a large smart composite platform under static loads

机译:大型智能复合材料平台在静载荷下力学行为的数值模拟

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The DECID2 French National Project (FUI, DGCIS) carried out within the period 2008-2012 involved the construction of a platform of large dimensions made entirely of smart composites. Two demonstrators were manufactured and installed, the target being to experiment and model their performances under mechanical and environmental aging. Despite significant progress, a number of issues have not been solved yet within the project's framework and are related to the negative effects of bolt fastening on the composites' profiles. In this study, numerical simulations were run to predict the mechanical behavior of a bolt-fastened platform composed primarily of unidirectional E-glass composite beams under static three-point bending loads. Results yielded thresholds for matrix tensional and compressional damage initiation which will be used in future non-destructive tests on the structure. Furthermore, the presence of fiber optic sensors embedded in a beam of the platform was investigated numerically to determine the effect of the presence the sensors on the mechanics of the beam. Results predicted minimal change in stiffness between scenarios with and without the embedded sensors. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在2008年至2012年期间进行的DECID2法国国家项目(FUI,DGCIS)涉及建设一个完全由智能复合材料制成的大尺寸平台。制造并安装了两个演示器,目标是在机械和环境老化下对它们的性能进行实验和建模。尽管取得了重大进展,但在项目框架内仍未解决许多问题,这些问题与螺栓紧固对复合材料外形的负面影响有关。在这项研究中,进行了数值模拟,以预测主要由单向E玻璃复合梁组成的螺栓固定平台在静态三点弯曲载荷下的机械性能。结果得出了矩阵拉伸和压缩损伤起始的阈值,这些阈值将在将来对结构进行无损检测时使用。此外,对安装在平台梁中的光纤传感器的存在进行了数值研究,以确定传感器的存在对梁力学的影响。结果预测,在有和没有嵌入式传感器的情况下,场景之间的刚度变化最小。 (C)2015 Elsevier Ltd.保留所有权利。

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