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International Journal for Multiscale Computational Engineering

Impact factor: 0.765

International Journal for Multiscale Computational Engineering
 

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ISSN: 1543-1649 Print

ISSN: 1940-4352 Online

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click 'Save as...' here to save XML metadata   Year 2003, Volume 1 / Issue 4

DOI: 10.1615/IntJMultCompEng.v1.i4

Pages: 144

DOI: 10.1615/IntJMultCompEng.v1.i4.40 Article price - $35.00 Add to shopping cart

MultiScale First-Order and Second-Order Computational Homogenization of Microstructures towards Continua


ABSTRACT

This paper addresses a first-order and a second-order framework for the multiscale modelling of heterogeneous and multiphase materials. The macroscopically required (first-order or second-order) constitutive behavior is retrieved directly from the numerical solution of a boundary value problem at the level of the underlying microstructure. The most important features of computational homogenization schemes are: no constitutive assumptions on the macro level; large deformations and rotations on the micro and macro level; arbitrary physically nonlinear and time-dependent material behavior on the micro level; independent of the solution technique used on the micro level; applicable to evolving and transforming microstructures. In particular, a second-order computational homogenization scheme deals with localization and size effects in heterogeneous or multiphase materials. Higher-order continua are naturally retrieved in the presented computational multiscale model, through which the analysis of size and localization effects can be incorporated. The paper sketches a brief introductory overview of the various classes of multiscale models. Higher-order multiscale methods, as typically required in the presence of localization, constitute the main topic. Details on the second-order approach are given, whereas several higher-order issues are addressed at both scales, with a particular emphasis on localization phenomena. Finally, the applicability and limitations of the considered first-order and second-order computational multiscale schemes for heterogeneous materials are high-lighted.


pages 16


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