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IMPLICATIONS OF STATISTICAL SPREAD TO EXPERIMENTAL ANALYSIS IN A NOVEL MINIATURE KOLSKY BAR

机译:统计传播对新型微型Kolsky Bar中实验分析的影响

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Kolsky Bar systems are subjected to inherent system error as all measurement devices are. This is especially true in that as the bar diameter decreases, the system becomes more sensitive to errors such as friction and misalignment. In this work we present a technique for identifying and quantifying the error of a Kolsky system. We also present a method of generating statistically significant bounds for Kolsky systems so that anomalous or improperly executed experiments can be quantitatively identified. This method does not rely on the intuition of the experimentalist to identify an anomalous experiment. After presenting our method for error identification, a series of tests are performed on 2024 Aluminum alloy samples. A method is then presented where the system error, as well as some error contributed by a variance in sample dimension, are removed from the calculated error related to the stress on the samples. The result shows the effective variance of the sample response is quite high in the elastic loading period, but reduces when plasticity dominates. This is attributed to the presence of high frequency content in the travelling elastic waves which cannot be accurately measured currently, but is effectively damped out when plastic deformation dominates.
机译:当所有测量设备都是时,Kolsky Bar系统受到固有的系统错误。这尤其如此,因为随着杆直径减小,系统对诸如摩擦和未对准的误差变得更敏感。在这项工作中,我们提出了一种用于识别和量化Kolsky系统的错误的技术。我们还提出了一种用于为KOLSKY系统产生统计上显着的界限的方法,从而可以定量识别出异常或不正确的实验。这种方法不依赖于实验主义的直觉来识别异常实验。在提出我们的错误识别方法后,在2024铝合金样品上进行一系列测试。然后呈现系统误差以及通过样本维度的方差贡献的一些误差的方法,从与样品上的应力相关的计算错误中移除。结果表明,弹性负载期间样品响应的有效方差相当高,但在塑性主导时减少。这归因于当前不能精确测量的行进弹性波中的高频含量,但是当塑性变形主导地位时有效地阻尼。

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