On the adaptive use of the Taylor assumption in computational homogenization of thin metal sheets
Source abstract
Abstract
A strategy for macroscale modeling adaptivity in fully nested two-scale computational (first order) homog- enization based on assumed scale separation is proposed. The Representative Volume Element (RVE) for a quite complex substructure pertinent to Duplex Stainless Steel (DSS) is considered, whereby crystal plasticity is adopted for the subscale material modeling. The choice of the pertinent prolongation condition defining the deformation mapping from the macro- to the subscale is the sole source of model error discussed here. Two common choices are (in hierarchical order): (1) ”simplified” model based on homogeneous (macroscale) deformation within the RVE, i.e., the Taylor assumption, (2) ”reference” model employing Dirichlet boundary conditions on the RVE.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Composite Material Mechanics · Advanced Mathematical Modeling in Engineering · Numerical methods in engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (14)
Show source-provided references
1. Fish J, Shek K, Pandheeradi M, Shepard M (1997) Computational plasticity for composite structures based on mathematical homogenization: Theory and practice. Computer Methods in Applied Mechanics and Engineering 148:53–7310.1016/S0045-7825(97)00030-3 ↗
2. Miehe C, Schröder J, Schotte J (1999) Computational homogenization analysis in finite plasticity simulation of texture development in polycrystalline materials. Computer Methods in Applied Mechanics and Engineering 171:387–41810.1016/S0045-7825(98)00218-7 ↗
3. Zohdi T, Wriggers P (2001) A model for simulating the deterioration of structural-scale material responses of microheterogeneous solids. Computer Methods in Applied Mechanics and Engineering 190:2803–282310.1016/S0045-7825(00)00367-4 ↗
4. Kouznetsova V, Geers MGD, Brekelmans WAM (2002) Multi-scale constitutive modelling of heterogeneous materials with a gradient-enhanced computational homogenization scheme. International Journal for Numerical Methods in Engineering 54:1235–126010.1002/nme.541 ↗
5. R. Lillbacka, F. Larsson, and K. Runesson. On the implementation of plane stress in computational multiscale modeling. International Journal for Multiscale Computational Engineering, pages 771–790, 2006.10.1615/IntJMultCompEng.v4.i5-6.110 ↗
6. Stein E, Rüter M, Ohnimus S (2004) Adaptive finite element analysis and modelling of solids and structures. findings, problems and trends. International Journal for Numerical Methods in Engineering 60:103–13810.1002/nme.956 ↗
7. Oden JT, Vemaganti KS (2000) Estimation of local modeling error and goal-oriented adaptive modeling of heterogeneous materials. Journal of Computational Physics 164:22–4710.1006/jcph.2000.6585 ↗
8. Braack M, Ern A (2003) A posteriori control of modeling errors and discretization errors. Multiscale Model. Simul. 1:221–23810.1137/S1540345902410482 ↗
9. Larsson F, Runesson K (2004) Model and discretization error in (visco)plasticity with a view to hierarchical modeling. Computer Methods in Applied Mechanics and Engineering 193:5283–530010.1016/j.cma.2004.01.039 ↗
10. Larsson F, Runesson K (2006) Adaptive computational meso-macro-scale modeling of elastic composites. Computer Methods in Applied Mechanics and Engineering 195:324–33810.1016/j.cma.2004.04.012 ↗
11. Larsson F, Runesson K (2007) Rve computations with error control and adaptivity: the power of duality. Computational Mechanics 39:647–66110.1007/s00466-006-0108-z ↗
12. Miehe C, Koch A (2002) Computational micro-to-macro transitions of discretized microstructures undergoing small strains. Archive of Applied Mechanics 72:300–31710.1007/s00419-002-0212-2 ↗
13. Ekh M, Lillbacka R, Runesson K (2004) A model framework for anisotropic damage coupled to crystal (visco)plasticity. International Journal of Plasticity 20:2143–215910.1016/j.ijplas.2004.04.007 ↗
14. R. Lillbacka and M. Ekh. Calibration of a multiscale material model based on macroscale test data. In E. O nate and B. Sua´rez, editors, Computational Plasticity VIII, Fundamentals and Applications, pages 1174–1176, Barcelona, 2005. Artes Gr´aficas Torres S.A.