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Quantitative structural analyses and numerical modelling of ...

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PRECURSOR AND RHEOLOGY OF VARISCAN GRANULITES 119Fig. 12. <strong>Quantitative</strong> micro<strong>structural</strong>analysis <strong>of</strong> the degree <strong>of</strong> grain boundarypreferredorientation v. contact frequenciesfor like <strong>and</strong> unlike boundaries <strong>of</strong> feldspars.Numbers at individual data points refer tothe evolution stages defined in the sectionGranular microstructures.Fig. 13. Crystal size distribution curves for both feldspars. Values <strong>of</strong> slope <strong>and</strong> upper intercept <strong>of</strong> linear regression are plotted togetherin the inset showing an evolutionary trend for both the feldspars. Numbers at individual data points refer to the evolution stagesdefined in the section Granular microstructures.whereas the like–like contacts are negative where thephases tend to be regularly distributed.Crystal size distributions measured in metamorphicrocks yield quantitative information about crystalnucleation <strong>and</strong> growth rates, growth times <strong>and</strong> thedegree <strong>of</strong> overstepping <strong>of</strong> reactions during metamorphism(Cashman & Ferry, 1988). The CSDs aredescribed as the population density function <strong>of</strong> thecumulative number <strong>of</strong> crystals per unit volume perlinear crystal size. The data are plotted in log-normalspace <strong>and</strong> a linear regression <strong>of</strong> points is the characteristic.The intercept values (N0) are proportional tothe nucleation density <strong>of</strong> the examined phase at theonset <strong>of</strong> nucleation (size 0), <strong>and</strong> the slope (Gt) is proportionalto the modification <strong>of</strong> original grain-sizedistribution by a variety <strong>of</strong> coarsening processes suchÓ 2010 Blackwell Publishing Ltd357

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