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An Approach to Identification and Simulation of the Nonlinear Dynamics of Anti-Vibration Mounts

机译:一种抗振动安装架非线性动力学识别与仿真的方法

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This paper addresses the characterization of the amplitude-dependent stiffness of common vibration mounts. Anti-Vibration Mounts (AVMs) are very common passive vibration isolation devices used in a variety of engineering applications. These are, in most cases, off-the-shelf items which engineers select on the basis of the manufacturer's specifications (in particular their natural frequency). This value is then used for modelling and prediction purposes during the design stage. However, in many cases the nominal value is (very) different from the stiffness value in operational conditions. It is a standard practice to perform dynamic tests on the mounts in order to extract an experimental value for the stiffness. It is well known that the stiffness of rubber AVMs is dependent on a number of factors, amongst which the most important are amplitude and frequency of excitation, as well as temperature. In particular, this work considers only the amplitude-dependency of the stiffness. The approach proposed here is to identify the nonlinear stiffness from a dynamic test and use the extracted stiffness function for nonlinear prediction using a commercial-off-the-shelf (COTS) solution. It is shown that by input the nonlinear stiffness function (identified with experiments) into the numerical model of the installation, it is possible to predict the effect of different excitation amplitudes with good accuracy. This method allows engineers taking a first step towards a more complex and refined model. However, it falls short of including frequency and temperature effects, which are objects of future work.
机译:本文件涉及共同振动安装件的振幅依赖刚度的表征。抗震安装(动静脉畸形)是在各种工程应用中使用的非常常见的被动隔振装置。这是,在大多数情况下,场外的货架,其工程师制造商的规格的基础上选择(尤其是它们的固有频率)项目。然后该值在设计阶段期间用于建模和预测目的。然而,在许多情况下,标称值是(非常)从在操作条件的刚度值不同。这是为了提取刚度的实验值进行上载置台动态测试的标准做法。它公知的是橡胶的动静脉畸形的刚度取决于许多因素,其中包括其中最重要的是幅度和激励的频率,以及温度。特别是,这项工作只考虑刚度的幅度依赖性。这里提出的方法是从一个动态测试识别非线性刚度和使用商业现成的现货(COTS)溶液使用提取的刚性函数的非线性预测。结果表明,由输入非线性刚度函数(实验确定)到安装的数值模型,它可以预测以良好的精度不同的激励幅值的效果。这种方法允许工程师迈出更为复杂和精致模型的第一步。然而,它缺少包括频率和温度的影响,这是今后工作的对象。

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