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Transform method of processing for speckle strain-rate measurements

机译:用于散斑应变率测量的变换处理方法

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摘要

We have developed a highly sensitive method for measuring thermal expansion, mechanical strain, and creep rates. We use the well-known technique of observing laser speckle with a pair of linear array cameras, but we employ a data-processing approach based on a two-dimensional transform of the speckle histories from each camera. This technique can effect large gauge sizes, which are important in the assessment of the spatial statistics of creep. Further, the algorithm provides simultaneous global estimates of the strain rates at both small- and large-scale sizes. This feature may be of value in the investigation of materials with different short- and long-range orders. General advantages of our technique are compact design, modest resolution requirements, insensitivity to slow surface microstructure changes (as seen with oxidation), and insensitivity to zero-mean-noise processes such as turbulence and vibration. Herein we detail the theory of our technique and the results of a number of experiments. Thesetests are intended to demonstrate the performance advantages and limitations of the transform method of processing speckle strain-rate data.
机译:我们已经开发出一种高度敏感的方法来测量热膨胀,机械应变和蠕变速率。我们使用一对线性阵列相机观察激光散斑的众所周知的技术,但是我们采用了基于每个相机散斑历史的二维变换的数据处理方法。该技术会影响大规格尺寸,这在评估蠕变的空间统计数据时很重要。此外,该算法同时提供了小规模和大规模尺寸下应变率的全局估计。此功能可能在调查具有不同短程和长程订单的材料时很有价值。我们技术的一般优势是紧凑的设计,适度的分辨率要求,对缓慢的表面微观结构变化不敏感(如氧化作用)以及对零均值噪声过程(如湍流和振动)不敏感。在这里,我们详细介绍了我们的技术理论以及许多实验的结果。这些测试旨在证明处理斑点应变率数据的变换方法的性能优势和局限性。

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