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Digital holography and Karhunen-Loeve decomposition for the modal analysis of two-dimensional vibrating structures

机译:数字全息和Karhunen-Loeve分解用于二维振动结构的模态分析

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The aim of this paper is to present the basic theory and preliminary applications of a newly developed formulation for the modal analysis of two-dimensional vibrating structures. This is based on the statistical processing of the data extracted from holographic shots of the vibrating object. Specifically, the elastic displacement field is obtained through digital processing of two series of holographic shots (generated by laser beams in quadrature), and then the Karhunen-Loeve decomposition (KLD) technique is used to extract, from the data, base functions that are optimal in the sense of maximum content of energy (as understood in signal theory). The coupling of these two well-assessed techniques represents the main novelty of the present work and yields an experimental methodology characterized by several interesting features. First, the use of holographic images as data source provides a non-invasive technique that allows for an accurate analysis of certain phenomena (such as aeroelastic and acoustoelastic problems) for which instrumentation of the experimental models represents a critical issue. Also, it yields simultaneous three-dimensional information on the whole object domain. Moreover, the KLD provides empirical base functions which coincide, in theory, with the fundamental modes of vibration and requires a relatively inexpensive experimental rig to capture high-frequency modes; these in turn are related to the resolution of the digitized holographic shot, and not to the time-sampling rate. In the present work, the optical holographic process is simulated through a dedicated, in-house developed, computer program. The displacement field has been evaluated analytically for simple two-dimensional structures, such as thin homogeneous rectangular plates and membranes. Preliminary numerical results reveal that the KLD base functions obtained with the numerical simulation coincide, within plotting accuracy, with the exact eigenmodes of the structure. In the simulation of the process, attention is paid to the treatment of the measurement noise, always present in real acquisitions. It is shown that the statistical nature of the KLD ensures that the results are not affected by uncorrelated noise with spacially uniform amplitude, even for a very poor signal-to-noise ratio. (c) 2005 Elsevier Ltd. All rights reserved.
机译:本文的目的是介绍二维振动结构模态分析的新开发公式的基本理论和初步应用。这是基于对从振动对象的全息镜头中提取的数据的统计处理。具体来说,弹性位移场是通过对两个系列的全息镜头(由正交的激光束生成)进行数字处理而获得的,然后使用Karhunen-Loeve分解(KLD)技术从数据中提取以下基本函数:在最大能量含量的意义上说是最优的(如信号理论所理解)。这两种经过良好评估的技术的结合代表了本研究的主要新颖性,并产生了一种具有若干有趣特征的实验方法。首先,使用全息图像作为数据源提供了一种非侵入性技术,该技术可以对某些现象(例如气弹和声弹问题)进行准确的分析,对于这些现象来说,实验模型的使用代表了一个关键问题。而且,它在整个对象域上同时产生三维信息。此外,KLD提供了经验基础函数,这些函数在理论上与振动的基本模式重合,并且需要相对便宜的实验设备来捕获高频模式。这些又与数字全息照相的分辨率有关,与时间采样率无关。在当前工作中,光学全息过程是通过专用的内部开发的计算机程序进行仿真的。对于简单的二维结构,例如均匀的矩形薄板和薄膜,已通过分析评估了位移场。初步的数值结果表明,通过数值模拟获得的KLD基本函数在绘图精度内与结构的精确本征模相吻合。在过程的仿真中,要注意对测量噪声的处理,该噪声始终存在于实际采集中。结果表明,KLD的统计性质确保即使在信噪比非常差的情况下,结果也不会受到幅度相对均匀的不相关噪声的影响。 (c)2005 Elsevier Ltd.保留所有权利。

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