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HYSTERESIS IDENTIFICATION OF CARBON NANOTUBE COMPOSITE BEAMS

机译:碳纳米管复合梁的滞回识别

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摘要

Nanocomposites made of a hosting polymer matrix integrated with carbon nanotubes as nanofillers exhibit an inherent hysteretic behavior arising from the CNT/matrix frictional sliding. Such stick-slip mechanism is responsible for the high damping capacity of CNT nanocomposites. A full 3D nonlinear constitutive model, framed in the context of the Eshelby-Mori-Tanaka theory, reduced to a 1D phenomenological model is shown to describe accurately the CNT/polymer stick-slip hysteresis. The nonlinear hysteretic response of CNT nanocomposite beams is experimentally characterized via displacement-driven tests in bending mode. The force-displacement cycles are identified via the phenomenological model featuring five independent constitutive parameters. A preliminary parametric study highlights the importance of some key parameters in determining the shape of the hysteresis loops. The parameter identification is performed via one of the variants of a genetic-type differential evolution algorithm. The nanocomposites hysteresis loops are identified with reasonably low mean square errors. Such outcome confirms that the 1D phenomenological model may serve as an effective tool to describe and predict the nanocomposite nonlinear hysteretic behavior towards unprecedented material optimization and design.
机译:由与碳纳米管集成为纳米填料的主体聚合物基质制成的纳米复合材料表现出由CNT /基体摩擦滑动引起的固有滞后行为。这种粘滑机制负责CNT纳米复合材料的高阻尼能力。在Eshelby-Mori-Tanaka理论的框架内,简化为1D现象学模型的完整3D非线性本构模型可准确描述CNT /聚合物粘滑滞后现象。通过弯曲模式下的位移驱动试验,对CNT纳米复合材料梁的非线性滞后响应进行了实验表征。力-位移循环通过具有五个独立本构参数的现象学模型进行识别。初步的参数研究强调了一些关键参数在确定磁滞回线形状中的重要性。通过遗传类型差异进化算法的变体之一执行参数识别。纳米复合材料的磁滞回线被确定为具有相当低的均方误差。这样的结果证实了一维现象学模型可以作为描述和预测纳米复合材料非线性滞后行为的有效工具,以实现前所未有的材料优化和设计。

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