Abstract
Abstract Understanding the finite strain state of a rock or its spatial variation is an important component of structural geology. In this chapter the problem of calculating finite strain using shape data and point data is considered in detail. The first step in strain analysis is data acquisition, and the first section is concerned with semiautomatic extraction of data for strain analysis from digital images. Two methods for strain analysis are considered: the first method (MRL, mean radial length) uses the shapes of strain markers, and the second method (Delaunay triangulation nearest neighbor method) uses the relative positions of strain marker centroids. In each case, relevant image files, data, and C++ code are provided. Background theory is discussed, and an example application is considered emphasizing that finite strain analysis is best used in conjunction with a range of structural observations.
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