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Over the past decades, discrete dislocation dynamics simulations have beenshown to reliably predict the evolution of dislocation microstructures formicrometer-sized metallic samples. Such simulations provide insight into thegoverning deformation mechanisms and the interplay between different physicalphenomena such as dislocation reactions or cross-slip. This work is focused ona detailed analysis of the influence of the cross-slip on the evolution ofdislocation systems. A tailored data mining strategy using the``\ab*{discrete-to-continuous} framework'' allows to quantify differences andto quantitatively compare dislocation structures. We analyze the quantitativeeffects of the cross-slip on the microstructure in the course of a tensile testand a subsequent relaxation to present the role of cross-slip in themicrostructure evolution. The precision of the extracted quantitativeinformation using D2C strongly depends on the resolution of the domainaveraging. We also analyze how the resolution of the averaging influences thedistribution of total dislocation density and curvature fields of the specimen.Our analyzes are important approaches for interpreting the resulting structurescalculated by dislocation dynamics simulations.

Statistical analysis of Discrete Dislocation Dynamics simulations: initial structures, cross-slip and microstructure evolution