首页> 外文会议>International conference on experimental mechanics >Experimental simulation of non-Gaussian random vibrations in mechanical systems (symmetrical probability distributions)
【24h】

Experimental simulation of non-Gaussian random vibrations in mechanical systems (symmetrical probability distributions)

机译:机械系统中非高斯随机振动的实验模拟(对称概率分布)

获取原文

摘要

The paper presents a technique for experimentally generating non-Gaussian random forced vibrations of linear and nonlinear mechanical models mounted on the platform of an electrodynamic or ervohydraulic shaker. The method proposed implies generation of pseudo-random excitation in the form of a Fourier expansion which is a commonly accepted approach to simulate Gaussian random excitations for the shaker testing. The non-Gaussian solution obtained invokes a kurtosis value as a basic control parameter in addition to usual power spectrum fitting. Simulation in the probability distribution domain is based on an analytical expression derived for the kurtosis parameter of the polyharmonic process in term sof amplitudes and phase angles for any number of harmonic components. An experimental study has been carried out for a cantilevered beam model and an iterative technique was used to compensate for the influence of the shaker and test item dynamics affecting the kurtosis and spectral characteristics of the response.
机译:本文提出了一种通过实验生成线性或非线性机械模型的非高斯随机强迫振动的技术,该线性和非线性机械模型安装在电动或液压混合器的平台上。提出的方法意味着以傅立叶展开的形式生成伪随机激发,这是为振动器测试模拟高斯随机激发的一种普遍接受的方法。除通常的功率谱拟合外,获得的非高斯解还调用峰度值作为基本控制参数。概率分布域中的仿真基于对任意数量的谐波分量的sof振幅和相角而言,针对多谐波过程的峰度参数得出的解析表达式。已经对悬臂梁模型进行了实验研究,并使用了迭代技术来补偿振动筛的影响,并且测试项目动力学会影响峰度和响应的光谱特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号