基于复杂网络的磁流变橡胶磁致压缩力学性能研究

Research on magneto-rheological rubber compression mechanical properties based on complex network

基于磁流变橡胶在机车的主动减振及降噪领域中的重要作用,引入复杂网络理论和方法来研究磁流变橡胶的磁致压缩力学性能。通过建立磁流变橡胶的RVE模型,利用多物理场耦合有限元软件研究磁流变橡胶的静态磁致压缩力学性能;计算磁流变橡胶的磁性颗粒复杂网络特征参数;探索磁流变橡胶磁性颗粒复杂网络的特征参数与磁流变橡胶磁致压缩模量之间的关系;与实例研究结果进行对比,验证结论的准确性。研究结果表明:磁流变橡胶的磁致压缩模量与其磁性颗粒网络的特征参数有关,其磁致压缩模量的峰值是由磁性颗粒的复杂网络分形特征参数决定的。

Magneto-rheological rubber plays an important role in the field of active vibration and noise reduction of locomotives. This paper aims to introduce complex network theory and methods to study the magneto-induced compression mechanical properties of magneto-rheological rubber. By establishing the RVE model of magneto-rheological rubber, the static magneto-induced compressive mechanical properties of magneto- rheological rubber were simulated using COMSOL multiphysics software. And the topological structure and fractal characteristics of the complex network of magnetic particles were studied. Finally, the association of the magneto-induced compression mechanical properties and complex network parameters was explored. And the results of the simulation study were compared with the experimental study data to verify the accuracy of the conclusions. The results show that the magneto-induced modulus of magneto-rheological rubber is related to the characteristic parameters of the magnetic particles network, and the peak value of magneto-induced modulus is determined by the fractal characteristic parameters.