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This study presents a novel methodology to generate computational replicates of nanostructures of multiphase materials, such as asphalt binders, by integrating image analysis techniques with stochastic random field (RF) modeling. Image analysis techniques are used to identify and segment nanostructure images obtained by atomic force microscopy, while RF is used to model the spatial distribution of their material properties. The results of this process are images showing probable arrangements of nanostructures with stochastic material properties that replicate the experimentally obtained images. The computationally generated nanostructures are then used as inputs in a finite element model to evaluate the effect of heterogeneity on their mechanical response. The efficacy of the developed approach is demonstrated through simulations of asphalt binders' nanostructures, which reveal novel insights regarding their nanoscale mechanical behavior and response. The FE simulations provided the link between the distribution of nanoscale properties of asphalt binders and variations in their mechanical response. The application of this methodology expands the body of knowledge beyond the deterministic analysis of asphalt binders toward probabilistic analysis and uncertainty quantification that considers their heterogeneous, multiphase structures. Consequently, the methodology can be used to design multiphase materials, such as asphaltic blends, with tailored properties and enhanced performance. [ABSTRACT FROM AUTHOR]

Thermodynamic modelling of Mn–Sn and Mn–Sr binary systems is carried out using the reliable data from the literature. Thermodynamic properties of the binary liquid solutions are described using the modified quasi‐chemical model. The calculated phase diagrams and the thermodynamic properties are found to be in good agreement with the experimental data from the literature. A self‐consistent thermodynamic database for the Mg–Mn–{Sn, Sr} systems is constructed by combining the thermodynamic descriptions of their constituent binaries. The constructed database is used to calculate and predict liquidus projection and invariant reactions of these ternary systems. The Mg–Mn–Sr system has nine ternary eutectic reactions, two saddle points and eleven crystallisation fields. Mg–Mn–Sn has four saddle points, two quasi‐peritectic and six ternary eutectic reactions. [ABSTRACT FROM AUTHOR]