针对液压悬置幅变特性难以计算的问题，提出了一种考虑解耦膜变刚度的固定解耦式液压悬置动特性快速预测模型。首先通过阐述固定式解耦膜的工作原理和特性，引入固定式解耦膜与金属笼的非线性接触力，依此建立固定解耦式液压悬置的集总参数模型; 然后对解耦膜进行流固耦合有限元仿真，用分段函数描述解耦膜等效位移与非线性力的关系，并研究了解耦膜厚度、直径以及解耦膜与金属笼间隙等结构参数对变刚度特性的影响规律，采用 BP 神经网络建立了解耦膜刚度预测模型; 最后，选择某固定解耦式液压悬置进行动态特性仿真计算，并与实测结果进行对比。结果表明: 文中提出的模型是准确的，且可大大缩短液压悬置动态特性预测的计算时间。

To deal with the difficulties in the amplitude-sensitive characteristics prediction，a novel fast prediction model for the dynamic characteristics of the hydraulic mount considering decoupler membrane’s stiffness variation was proposed． Firstly，the working principles and characteristics of the hydraulic mount were clarified，and the nonlinear contact force between the decoupler membrane and its metallic cage was introduced to build a lumped pa-rameter model for the hydraulic mount． Secondly，a fluid-structure-interaction finite element analysis on the decou-pler membrane was carried out，and the relationship between the equivalent displacement and the nonlinear reaction force was described with a piecewise function． Moreover，the influences of the thickness，diameter of the decoupler membrane and the gap between the decoupler and its metallic cage on the stiffness variation characteristics were in-vestigated． The BP neural networks was employed to establish the prediction model for the stiffness of decoupler membrane． Finally，the dynamic characteristics of a typical hydraulic mount with a fixed decoupler was numerically simulated，and the simulation results were compared with the measured results． The comparison results show that
the proposed prediction model is more accurate，and it can largely reduce the time needed to calculate the dynamic characteristics of the hydraulic mount．