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A nonlinear dynamic model of magnetorheological elastomers in magnetic fields based on fractional viscoelasticity

机译:基于分数粘弹性磁场磁体弹性体的非线性动力学模型

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摘要

As smart materials, magnetorheological elastomers (MREs) have been broadly applied in the field of intelligent structures and devices. In order to mathematically represent the dynamic behavior in a wide range of strain amplitude, excitation frequency and magnetic field; a nonlinear model with a fractional element was developed for MREs in a linear viscoelastic regime. The identification of model parameters was realized through fitting experimental data of dynamic moduli measured in shear mode, and the identified parameters exhibited good repeatability and consistency to reflect the rationality of this nonlinear dynamic model. Considering material elasticity and viscosity, the dependence of model parameters on strain amplitudes and magnetic fields was analyzed to interpret the dynamics of MREs. The fitted results displayed an excellent agreement with the experimental results on the dependence of dynamic moduli on strain amplitudes and magnetic fields. Using the predictor-corrector approach, predicted results on the stress-strain hysteresis loop were calculated based on identified parameters to further validate the proposed model by comparing with experimental results and predicted results of the revised Bouc-Wen model. This proposed model is expected to facilitate the dynamic analysis and simulation of MRE based vibration systems with a high precision accuracy.
机译:作为智能材料,磁流变弹性体(MRE)已广泛应用于智能结构和器件领域。为了数学地表示各种应变幅度,激发频率和磁场中的动态行为;具有分数元件的非线性模型为线性粘弹性方案中的MR开发。通过拟合在剪切模式下测量的动态模量的实验数据来实现模型参数的识别,并且所识别的参数表现出良好的重复性和一致性,以反映该非线性动态模型的合理性。考虑到材料弹性和粘度,分析了模型参数对应变幅度和磁场的依赖性,以解释MRE的动态。拟合结果与实验结果显示出优异的一致性,实验结果对动态模量对应变幅度和磁场的依赖性。使用预测器校正器方法,基于所识别的参数计算应力 - 应变滞后环路上的预测结果,以通过与修订的BOUC-WEN模型的实验结果和预测结果相比,进一步验证所提出的模型。该提出的模型预计将促进具有高精度精度的MRE基于振动系统的动态分析和仿真。

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