2000
DOI: 10.1016/s0020-7683(98)00341-2
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Simulation of the multi-scale convergence in computational homogenization approaches

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Cited by 500 publications
(256 citation statements)
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“…Kaczmarczyk et al [225] made similar conclusions in the context of second-order computational homogenization. However, this does not imply that the results obtained under periodic boundary conditions are always the closest ones to the exact solutions as clearly stated by Terada et al [221] "there is no guarantee that periodic boundary conditions are the best among a class of possible boundary conditions. Nonetheless, the periodic boundary conditions provide the reasonable estimates on the effective moduli in the sense that they are always bounded by the other."…”
Section: Computational Homogenizationmentioning
confidence: 87%
See 1 more Smart Citation
“…Kaczmarczyk et al [225] made similar conclusions in the context of second-order computational homogenization. However, this does not imply that the results obtained under periodic boundary conditions are always the closest ones to the exact solutions as clearly stated by Terada et al [221] "there is no guarantee that periodic boundary conditions are the best among a class of possible boundary conditions. Nonetheless, the periodic boundary conditions provide the reasonable estimates on the effective moduli in the sense that they are always bounded by the other."…”
Section: Computational Homogenizationmentioning
confidence: 87%
“…Many authors, e.g., Refs. [215][216][217][218][219][220][221][222][223][224], have shown that in pure mechanical linear and nonlinear problems, the effective behavior derived under periodic boundary conditions is bounded by linear displacement boundary conditions from above and constant traction boundary conditions from below for a finite size of the RVE. Kaczmarczyk et al [225] made similar conclusions in the context of second-order computational homogenization.…”
Section: Computational Homogenizationmentioning
confidence: 99%
“…An effective remedy, which is known as the computational homogenization, has been developed to link up straightforwardly the responses of the large scale problems, also called the macroscopic problems, to the behavior of the smaller scale problems, also called the microscopic problems, where the presence of heterogeneities is considered. The basic ideas of the computational homogenization approach have been presented in papers by Michel et al [1], Terada et al [2], Miehe et al [3,4], Kouznetsova et al [5,6,7], Kaczmarczyk et al [8], Peric et al [9], Geers et al [10] and references therein, as a non-exhaustive list. By this technique, two boundary value problems are defined at two separate scales, Figure 1: Illustration of first-order and second-order multiscale computational homogenization schemes.…”
Section: Introductionmentioning
confidence: 99%
“…The classical multiscale computational homogenization approach (so-called the first order multiscale computational homogenization approach -FMCH) provides a versatile tool to model the micro-macro transitions and is based on the standard continuum theory [1,2,3,4,5,9,10]. For a given macroscopic deformation gradient tensor, the stress and the associated material tangent are estimated from the response of the micro-structure, see Fig.…”
Section: Introductionmentioning
confidence: 99%
“…In practice, the heterogeneities within a composite are not periodic as in the case of fiberreinforced matrices . In order to adapt to general heterogeneous materials, the size of RVE must be sufficiently large to contain enough microscopic heterogeneous information [3,54], thus increasing the corresponding computational cost. Furthermore, in an elasto-plastic problem, periodicity on the RVEs also dictates periodicity on the damage induced which could result in erroneous results.…”
mentioning
confidence: 99%