一种磁流变弹性体模型参数识别新方法及其应用研究

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (11) : 189-198.

论文

王鹏1，2，杨绍普1，刘永强1，董旭峰3，赵义伟1，2

作者信息 +

A new method for parametric identification of MRE model and its application

WANG Peng1,2, YANG Shaopu1, LIU Yongqiang1, DONG Xufeng3, ZHAO Yiwei1,2

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文章历史 +

摘要

为了定量描述不同应变幅值、频率和磁场下磁流变弹性体(MRE)的力学特性，提出了一种新的参数识别方法。采用Bouc-Wen模型表征MRE的非线性滞回特性，通过试验数据验证了模型有效性，基于对模型参数与应变幅值、频率和磁场的耦合关系分析，提出了多工况参数识别方法。将仿真值与试验值之间的误差作为目标函数，利用GA-PSO混合算法对Bouc-Wen模型参数进行识别，选用多种工况的试验数据验证识别结果。结果表明，多工况参数识别方法得到的模型参数表达式在较宽的应变幅值、频率和磁场范围内是准确的，能够反映MRE的力学特性。识别和非识别工况下MRE滞回曲线的仿真值与试验值吻合率高于93%，证明了多工况参数识别方法的有效性，该方法也可用于其他模型的参数识别。

Abstract

To quantitatively characterize the mechanical properties of MRE under varying excitation conditions, a new parameter identification method was proposed. Using MRE test data, it was verified that Bouc-Wen model can describe MRE hysteresis characteristics. A parameter identification method under multi-loading conditions was proposed, with analyzing the coupling relationship between the parameters and strain amplitude, frequency, and magnetic field. Taking the error of simulation and experimental data as the objective function, the parameters were identified by using the GA-PSO hybrid algorithm, the identification results were verified using test data. The results show that the expression of model parameters obtained from the identification method is accurate in a wide range of strain amplitude, frequency, and magnetic field, can reflect the mechanical characteristics of MRE. The fitness values of the numerical results and test results under identified and non-identified conditions exceed 93%, showcasing the effectiveness of the parameter identification method.

关键词

磁流变弹性体 / 性能试验 / 滞回特性 / Bouc-Wen模型 / 参数识别方法

Key words

magnetorheological elastomers

/ performance test / hysteresis characteristic / Bouc-Wen model / parameters identification method

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导出引用

王鹏1，2，杨绍普1，刘永强1，董旭峰3，赵义伟1，2. 一种磁流变弹性体模型参数识别新方法及其应用研究[J]. 振动与冲击, 2022, 41(11): 189-198

WANG Peng1,2, YANG Shaopu1, LIU Yongqiang1, DONG Xufeng3, ZHAO Yiwei1,2. A new method for parametric identification of MRE model and its application[J]. Journal of Vibration and Shock, 2022, 41(11): 189-198

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