2016
DOI: 10.1115/1.4034024
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Aspects of Computational Homogenization at Finite Deformations: A Unifying Review From Reuss' to Voigt's Bound

Abstract: The objective of this contribution is to present a unifying review on strain-driven computational homogenization at finite strains, thereby elaborating on computational aspects of the finite element method. The underlying assumption of computational homogenization is separation of length scales, and hence, computing the material response at the macroscopic scale from averaging the microscopic behavior. In doing so, the energetic equivalence between the two scales, the Hill-Mandel condition, is guaranteed via i… Show more

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Cited by 178 publications
(138 citation statements)
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“…This domain—known as a RVE—should be large enough to statistically represent the heterogeneities present at the microscale but small enough to be considered as an infinitesimal volume element . Defining the appropriate RVE for a given heterogeneous material is a topic that has undergone much investigation (see, for example, the review of Saeb et al). Classical homogenization theories rely on the concept of scale separation, which is the assumption that the scale of microscopic field fluctuations should be smaller than the RVE size, which should, in turn, be much smaller than the characteristic length of macroscopic field fluctuations .…”
Section: Finite Deformation Homogenizationmentioning
confidence: 99%
See 1 more Smart Citation
“…This domain—known as a RVE—should be large enough to statistically represent the heterogeneities present at the microscale but small enough to be considered as an infinitesimal volume element . Defining the appropriate RVE for a given heterogeneous material is a topic that has undergone much investigation (see, for example, the review of Saeb et al). Classical homogenization theories rely on the concept of scale separation, which is the assumption that the scale of microscopic field fluctuations should be smaller than the RVE size, which should, in turn, be much smaller than the characteristic length of macroscopic field fluctuations .…”
Section: Finite Deformation Homogenizationmentioning
confidence: 99%
“…An alternative approach, which is known as stress‐driven homogenization, assumes that the macroscopic first Piola‐Kirchhoff stress tensor is known and then calculates the corresponding macroscopic deformation gradient. This can be performed numerically by treating the macroscopic deformation gradient components as additional unknowns to be solved for . The additional set of equations that must be considered to account for the new unknowns is truebold-italicPtrue‾^bold-italicPtrue‾p=bold0, where bold-italicPtrue‾p are prescribed macroscopic stress values, whereas truebold-italicPtrue‾^ is the macroscopic stress calculated using Equation .…”
Section: Numerical Implementationmentioning
confidence: 99%
“…The use of periodic boundary conditions for the statistically similar (substitute) model is motivated by a number of studies demonstrating that the periodic boundary conditions are the most reliable and converge faster than Dirichlet and Neumann boundary conditions . They are often used even if the model is not periodic, because Dirichlet and Neumann boundary conditions always give an overestimation and an underestimation for the stress in computational homogenization. Moreover, the simple comparison of the homogenized stresses in periodic composites modeled with only one inclusion in the unit cell and composites with a random microstructure, performed in the work of Zabihyan et al, demonstrated close homogenized stress values in both models.…”
Section: Stochastic Rvementioning
confidence: 99%
“…Some examples of analytical homogenization of deterministic media can be found in the works of Andrianov et al Interesting results in computational homogenization of deterministic media are presented in the works of Chatzigeorgiou et al, Javili et al, Kästner et al, Legrain et al, Moës et al, and Spieler et al For an overview of existing deterministic homogenization techniques, we refer to the work of Saeb et al…”
Section: Introductionmentioning
confidence: 99%
“…The FE 2 method has its origins in solid mechanics, [31], [46], [47], [48], [28], [27], [55], and has found considerable interest in academia and industry; as a versatile method FE 2 has been used in non-linear problems of elasticity and inelasticity. For recent, comprehensive overviews of the FE 2 method we refer to [30], [61] and [56]. In order to account for size-dependency observed in materials science, Kouznetsova et al [41], [42] have introduced a second-order homogenization into FE 2 .…”
Section: Introductionmentioning
confidence: 99%