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Error Controlled Use of the Taylor Assumption in Adaptive Hierarchial Modeling of DSS

Lillbacka, R. (author)
Larsson, Fredrik, 1975 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Runesson, Kenneth, 1948 (author)
Chalmers tekniska högskola,Chalmers University of Technology
 (creator_code:org_t)
2015
2015
English.
In: International Journal for Multiscale Computational Engineering. - 1543-1649. ; 13:2, s. 163-180
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • A strategy for macroscale modeling adaptivity in fully nested two-scale computational (first-order) homogenization based on assumed scale separation is proposed. The representative volume element (RVE) for a substructure pertinent to duplex stainless steel is considered with its typical phase morphology, whereby crystal plasticity with hardening is adopted for the subscale material modeling. The quality of the macroscale constitutive response depends on, among the various assumptions regarding the modeling and discretization, the choice of a prolongation condition defining the deformation mapping from the macro- to the subscale This is the sole source of model error discussed in the present contribution. Two common choices are (in hierarchical order) (1) a "simplified" model based on homogeneous (macroscale) deformation within the RVE, that is the Taylor assumption, and (2) a "reference" model employing Dirichlet boundary conditions on the RVE, which is taken as the exact model in the present context. These errors are assessed via computation of the pertinent dual problem. The results show that both the location and the number of qudrature points where the reference model is employed depend on the chosen goal function.

Subject headings

NATURVETENSKAP  -- Fysik -- Annan fysik (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences -- Other Physics Topics (hsv//eng)

Keyword

adaptive modeling
computational homogenization
goal-oriented adaptivity
duplex stainless steel

Publication and Content Type

art (subject category)
ref (subject category)

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