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An autocorrelation method for three-dimensional strain analysis

机译:三维应变分析的自相关方法

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We present a method of finite-strain estimation using the autocorrelation properties of deformed rock. Autocorrelation is the correlation of an image with itself as a function of an offset or lag. In two and three dimensions, the lag has both distance and direction. Many geologic materials are initially isotropic, which means that the autocorrelation function (ACF) will be initially isotropic as well. Deformation imposes an anisotropic distortion, which can be measured using the Ramsay and Fry strain methods for example, but can also be estimated from the ACE X-ray tomography now provides a rapid way to measure the three-dimensional ACF of a geologic sample. Strain parameters are estimated by using a non-linear, best-fit method to minimize the anisotropy in the ACF. The ACF method works best for materials where the objects are internally uniform and contrast strongly with the matrix and other grains. (C) 2015 Elsevier Ltd. All rights reserved.
机译:我们提出了一种利用变形岩石的自相关特性进行有限应变估计的方法。自相关是图像与自身的相关性,它是偏移量或滞后的函数。在二维和三维中,滞后既有距离又有方向。许多地质材料最初是各向同性的,这意味着自相关函数(ACF)也将最初是各向同性的。变形会产生各向异性变形,可以使用例如Ramsay和Fry应变方法进行测量,但也可以通过ACE X射线断层扫描进行估计,从而提供了一种快速方法来测量地质样品的三维ACF。通过使用非线性的最佳拟合方法来估计应变参数,以最小化ACF中的各向异性。 ACF方法最适合对象内部均匀且与基质和其他颗粒形成强烈对比的材料。 (C)2015 Elsevier Ltd.保留所有权利。

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