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Quantitative structural analyses and numerical modelling of ...

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3. <strong>Quantitative</strong> <strong>analyses</strong> <strong>of</strong> metamorphic microstructures 36Figure 3.6: Example <strong>of</strong> digitized microstructures originated from heterogenous decomposition<strong>of</strong> alkaline feldspar due to increase <strong>of</strong> temperature.strain energy in the aggregate. Such a strain energy is driven by decompression associatedwith slight cooling <strong>of</strong> perthitic aggregate <strong>and</strong> leads to development <strong>of</strong> particularmicrostructure which reduces both strain <strong>and</strong> surface energies <strong>of</strong> the aggregate. ThePolyLX played decisive role in the characterizing the process <strong>and</strong> it shows that the microstructurereveals highest nucleation density compared to growth in conjunction withhighest possible regular grain distribution which was recorded in metamorphic rocks s<strong>of</strong>ar. This microstructure showed to be a precursor for granulite mylonitic fabric. ThePolyLX allows tracking the microstructure evolution <strong>of</strong> the rock <strong>and</strong> helps to define firstgrain boundary sliding diffusional process replaced subsequently by dislocation creepflow at lower temperatures.3.1 Perspectives for <strong>numerical</strong> modeling <strong>of</strong> deformationmicrostructures <strong>and</strong> their quantificationPolyLX method revealed high applicability in micro<strong>structural</strong> analysis thanks to its versatile<strong>and</strong> modular character allowing large amount <strong>of</strong> applications in paleopiezometry,crystal size distribution, grain contact frequencies <strong>and</strong> deformation mechanisms studiesaccompanied with texture <strong>analyses</strong> (Fig. 3.7). The potential is therefore in further use<strong>of</strong> the method in a variety <strong>of</strong> micro<strong>structural</strong> studies which can be combined with kineticgrow/nucleation models if the thermal history is known. For that purpose a coupling

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