Numerical simulation of elasto-plastic deformation of composites: evolution of stress microfields and implications for homogenization models

By Carlos Gonz'alez, Javier Segurado, Javier Llorca. 2004

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View Paper: https://www.semanticscholar.org/paper/8df4bfb276097adeddf77aadac08f7e2a652458e

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In Mechanics of Materials

Citations in the corpus

Multiscale Computational Homogenization: Review and Proposal of a New Enhanced-First-Order Method (2016, methodology): “The geometry of the RVE is meshed with finite elements to solve the microscale Boundary Value Problem (BVP), then through homogenization rules the micro-results are linked to macro-scale properties [34, 35, 63, 107, 120].”
Micromechanics of elasto-plastic materials reinforced with ellipsoidal inclusions (2007, methodology): “In order to avoid the stiff response associated with incremental models when the anisotropic form of the tangent operator is used in the analysis ( Gilormini, 1995; Gonza ´lez and LLorca, 2000), Eshelby’s tensor Si was computed with an isotropic part of L t m while”
Mechanical behavior of unidirectional fiber-reinforced polymers under transverse compression: Microscopic mechanisms and modeling (2007, background): “at the elasto-plastic transition) and especially with the localization of the deformation due to plastic flow and/or damage [42, 10 ].”
On the effective behavior of nonlinear inelastic composites: I. Incremental variational principles (2007, background): “…Chu and Hashin, 1971, Berveiller and Zaoui, 1979, among others), as well as more recent homogenization techniques for nonlinear composites with one potential (see for instance Li and Ponte Castañeda, 1993, Suquet, 1997 Bardella, 2003 and Gonzalez et al., 2004, for particle-reinforced composites).”
Homogenization of elasto-(visco) plastic composites based on an incremental variational principle (2012, background): “…considered by several authors aiming to assess homogenization models (Segurado et al., 2002; Michel and Suquet, 2003; Doghri and Ouaar, 2003; González et al., 2004; Chaboche et al., 2005; Pierard et al., 2007a) so that the predictive capabilities of the present approach can easily be…”