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Quantitative structural analyses and numerical modelling of ...

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Foreword 32008, 2007) <strong>and</strong> subsequently applied to describe evolution <strong>of</strong> orogenic root in BohemianMassif. Here we used available geochemical <strong>and</strong> geochronological data to argue that thefelsic lower crust is an allochthonous body emplaced underneath pre-existing mafic lowercrust during continental subduction (Schulmann et al., 2009b). Similar scenario was recentlyproposed for evolution Orlica-Śnieżnik dome in Western Sudetes (Chopin et al.,2011a). It appears that influx <strong>of</strong> crustal material to the orogenic root zone have a majorimpact on his future thermal <strong>and</strong> rheological evolution. Detailed study <strong>of</strong> geodynamicconsequences caused by subduction <strong>of</strong> felsic <strong>and</strong> radioactively productive material underthe orogenic system is described in Lexa et al. (2011) <strong>and</strong> this aspect will be furtherelaborated in the chapter “Perspectives for the thermomechanical <strong>modelling</strong> <strong>of</strong> channelflow in the orogeny”.The last topic “<strong>Quantitative</strong> analysis <strong>of</strong> metamorphic microstructures, its visualization<strong>and</strong> statistical description” introduce a comprehensive set <strong>of</strong> quantitative methodsfor analysis <strong>of</strong> deformation microstructures <strong>and</strong> it is based on PolyLX s<strong>of</strong>tware developedby myself. This chapter will deal with techniques <strong>of</strong> microstructure digitalization <strong>and</strong>subsequent statistical processing, including evaluation <strong>of</strong> the grain size, grain shapes <strong>and</strong>statistics <strong>of</strong> their mutual contacts. The PolyLX covers several methods <strong>of</strong> quantification<strong>of</strong> preferred orientation <strong>of</strong> grains <strong>and</strong> boundaries as well as their statistical processing.This method allows us not only visualize microstructure characteristics <strong>and</strong> their statisticaltreatment, but also address some kinetic problems <strong>of</strong> metamorphic microstructures.This method was originally described in my Ph.D. thesis <strong>and</strong> firstly applied in the work<strong>of</strong> Lexa et al. (2005). Subsequently, the PolyLX s<strong>of</strong>tware was successfully used in numerouspublications <strong>of</strong> our research group (Baratoux et al., 2005a,b, Hasalová et al., 2008a,Jeřábek et al., 2007, Kratinová et al., 2010, Lexa et al., 2005, Machek et al., 2007, Schulmannet al., 2008b, Závada et al., 2007, 2009). In addition, there is a number <strong>of</strong> laboratoriesin France, where I worked during my post-doctoral fellowship <strong>and</strong> I led specializedcourses in this subject, which are routinely using PolyLX s<strong>of</strong>tware in complex micro<strong>structural</strong>problems (Barraud, 2006, Chopin et al., 2011b, Martelat et al., 2011, Oliot et al.,2011). It appears, that PolyLX becomes valuable tool for projects, where quantification<strong>of</strong> the spatial relationships <strong>of</strong> minerals is needed. Recently I leed three specialized workshops(Granulites & Granulites 2009, Prague; 2010 Tromsø; Geomaterials 2011, Prague)focused on quantitative microstructure <strong>analyses</strong>. Recently, PolyLX has interfaces toexchange data with s<strong>of</strong>twares like ELLE (http://www.materialsknowledge.org/elle) orMTEX (http://code.google.com/p/mtex) that allows simulating the evolution <strong>of</strong> deformationmicrostructures or quantitative textural <strong>analyses</strong> <strong>of</strong> natural samples. Futherideas as some <strong>of</strong> the new kinetic <strong>and</strong> petrogenetic outputs that could be depicted bythis method (Franěk et al., 2011b) are given in the chapter “Perspectives for <strong>numerical</strong><strong>modelling</strong> <strong>of</strong> deformation microstructures <strong>and</strong> their quantification”. As PolyLX is open

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