Guidelines for Optimizing the Error in Area Ratio Damping Estimation Method

Balija Santoshkumar, Firas A. Khasawneh
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引用次数: 2

Abstract

The logarithmic decrement (log-dec) is one of the most popular methods for viscous damping estimation in linear, single degree of freedom systems. It estimates the damping ratio by examining the decay in the amplitude between two peaks some number of cycles apart. The accuracy in the estimation is sensitive to the chosen number of cycles, where the latter can be optimized such that the uncertainty in the estimation is minimized. However, the log-dec method is not suitable for systems with high damping ratios (approximately > 0.3). Another recent approach for damping estimation is based on considering a ratio of the amplitudes of the positive and negative areas in the free response of the oscillator. Although prior works on the areas method only tested lightly damped systems, we show here that — in contrast to log-dec — this approach can estimate the damping ratio over the whole range of underdamped linear oscillators. However, in contrast to log-dec, there are no available guidelines on how many areas to include in the damping estimation. In this work, we derive uncertainty analysis expressions for the areas method and we utilize them to obtain the optimal number of areas to use. Our results show that for a very low damping ratio (< 0.01), choosing more than two areas in the estimation increases the uncertainty. In contrast, for moderate to high damping (between 0.05 and 1), we need to consider all the available areas in the estimation. One caveat in the range of high damping (between 0.3 and 1) is that while it is desirable to include all the available areas, uncertainty increases when considering up to 3 areas. Therefore, if only 4 areas are available in this range, then to reduce the uncertainty in the estimate only the first two areas must be considered. The results are verified using a large number of numerical simulations including different levels of noise.
面积比阻尼估计方法误差优化指南
对数减量法(log-dec)是线性单自由度系统中最常用的粘性阻尼估计方法之一。它通过检查间隔若干周期的两个峰值之间振幅的衰减来估计阻尼比。估计的准确性对所选择的周期数很敏感,后者可以被优化,从而使估计中的不确定性最小化。但是,log-dec方法不适用于高阻尼比(约> 0.3)的系统。另一种最近的阻尼估计方法是基于考虑振荡器自由响应中正、负区域振幅的比值。虽然以前的面积法只测试了轻微阻尼系统,但我们在这里表明,与对数-dec相比,这种方法可以估计整个欠阻尼线性振荡器范围内的阻尼比。然而,与log-dec相比,在阻尼估计中要包括多少区域没有可用的指导方针。在这项工作中,我们导出了面积法的不确定性分析表达式,并利用它们来获得使用的最佳面积数。我们的研究结果表明,对于非常低的阻尼比(< 0.01),在估计中选择两个以上的区域会增加不确定性。相反,对于中等到高阻尼(在0.05和1之间),我们需要考虑估计中的所有可用区域。在高阻尼(0.3到1之间)范围内需要注意的是,虽然希望包括所有可用区域,但考虑到3个区域时,不确定性会增加。因此,如果在这个范围内只有4个区域可用,那么为了减少估计中的不确定性,必须只考虑前两个区域。通过大量的数值模拟,包括不同程度的噪声,验证了结果。
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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