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First the representation of the materials with random distribution of multi-scale grains is described.
Effective elastic characteristics of periodic multicomponent composite materials with random interface defects are studied in the paper.
They show that SMSA is feasible to predict the mechanics performance of the materials with random distribution of grains.
This formulation is conceived for periodic heterogeneous microstructures and also for materials with random spatial distribution of heterogeneities.
In this paper, the multi-scale analysis (MSA) method for the mechanics parameter computation of composite materials with random distribution of multi-scale grains is presented.
The MC routine was applied to establish grain growth and texture development in materials with random or strongly textured starting conditions and isotropic or anisotropic grain-boundary mobility.
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The random factor method is developed for the stochastic dynamic characteristics analysis of beams that are made of functionally graded materials (FGM) with random constituent material properties in this paper.
A cubic material definition with random spatial orientation is specified for the material grains to simulate the polycrystalline anisotropy.
This paper presents a new methodology to model failure phenomena in nonwoven materials with a random network microstructure at finite deformations.
Then the statistically two-scale analysis (STSA) formulation for the composite materials with periodically random distribution of one-scale grains is developed by means of construction approach inside each cell with same probability distribution, and the procedure of statistic MSA computation based on STSA method is discussed in detail.
In this work, detailed studies have been made of the retraction process from mesoporous materials, with non-random heterogeneities in their void structure, to obtain fundamental knowledge that could form the basis of methods to reliably extract accurate pore space descriptors from the retraction curve.
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