A model-based generalization of the bandwidth method for damping estimation

IF 2.5 3区 工程技术 Q2 MECHANICS
Amir H. Danesh-Yazdi, Daniel T. Kawano
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引用次数: 0

Abstract

The classical half-power bandwidth is one of several approaches that can be used to estimate the modal damping ratio of a dynamic system from its frequency response function (FRF). Although relatively simple to implement, this method is accurate when applied to the displacement and velocity FRFs of lightly damped, harmonically forced viscous systems for which the vibration modes are far enough apart. In this work, we introduce a modified definition of the bandwidth along with a generalized approach that we use to develop exact expressions for the damping parameter of viscously and hysteretically damped single-degree-of-freedom systems under different inputs over a range of permissible amplitude ratios. When considering a direct force input, we find that the same closed-form expression can be used to determine the damping parameter from the displacement and acceleration FRFs. We also utilize this technique to establish exact damping parameter expressions for harmonic base excitation cases for the first time in the literature. Application of the modified bandwidth method to experimentally obtained FRFs from single- and two-degree-of-freedom systems reveals that this approach is far superior to its classical alternative at high damping ratios and generally comparable at lower ones in the higher-confidence data regions.

基于模型的带宽估计方法的推广
经典的半功率带宽是根据系统频响函数估计系统模态阻尼比的几种方法之一。虽然实现起来相对简单,但当应用于振动模态足够远的轻阻尼、谐波强迫粘性系统的位移和速度频响时,该方法是准确的。在这项工作中,我们引入了带宽的修改定义以及我们用于在允许幅度比范围内的不同输入下开发粘性和滞后阻尼单自由度系统阻尼参数的精确表达式的广义方法。当考虑直接力输入时,我们发现可以使用相同的封闭表达式从位移和加速度频响函数确定阻尼参数。我们还利用该技术在文献中首次建立了谐波基激励情况下的精确阻尼参数表达式。将改进的带宽方法应用于实验得到的单自由度和二自由度系统的频响,结果表明,该方法在高阻尼比下远远优于经典方法,并且在高置信度数据区域的低阻尼比下大致相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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