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The effect of sample size on geological strain estimation from passively deformed clastic sedimentary rocks
Institution:1. Université de Lorraine, CNRS, CREGU, GeoRessources UMR 7359, Faculté des Sciences et Technologies Boulevard Aiguillettes, Vandoeuvre-lès-Nancy F-54506, France;2. Université de Toulouse, Géosciences Environnement Toulouse (GET), UMR 5563 CNRS, 14 Avenue Edouard Belin, Toulouse F-31400, France;3. CRPG-CNRS, Université de Lorraine, UMR 7358, 15 rue Notre-Dame des Pauvres, BP 20, 54501 Vandoeuvre-lès-Nancy Cedex, France;4. Institute of Geology and Mineral Exploration (I.G.M.E.), 1st Spirou Louis St., Olympic Village, Acharnae 13677, Greece
Abstract:The role of sample size in the estimation of geological strain, both finite strain (Rs) and that of the orientation of the finite strain ellipse (φs), is investigated for clastic sedimentary rocks. This study looks at four strain methods, the Robin method, the linearization method, the Mulchrone and Meere method and the mean radial length method that are initially tested using simulated strained data sets and subsequently by applying the methods to real data. It is found that the optimum strain analysis sample size for a clastic sedimentary rock is primarily dependant on the intensity of strain suffered by that rock because of the error behavior associated with Rs estimates. An iterative process is therefore recommended starting with a minimum sample size of 150, which can be maintained or reduced based on the initial Rs estimates.
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