3D modeling of shape memory alloy fiber reinforced composites by multiscale finite element method

Autor: Hamid Zahrouni, Céline Bouby, Michel Potier-Ferry, Tarak Ben Zineb, Heng Hu, Rui Xu
Přispěvatelé: Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Labex DAMAS, Université de Lorraine (UL), School of Civil Engineering, Wuhan University [China], IMPACT N4S, ANR-15-IDEX-0004,LUE,Isite LUE(2015)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Composite Structures
Composite Structures, Elsevier, 2018, 200, pp.408--419. ⟨10.1016/j.compstruct.2018.05.108⟩
ISSN: 0263-8223
Popis: A 3D generic multiscale finite element method (FE 2 ) is proposed for modeling the pseudo-elasticity and the shape memory effects of shape memory alloy (SMA) fiber reinforced composites . Composites are separated into a macroscopic and a microscopic level, where the constitutive behavior of each integration point on macroscopic level is represented by the effective behavior of a corresponding representative volumic element (RVE). This effective behavior is computed by finite element method under the RVE meshed by volumic element. The real-time information transition between the two levels is realized on a commercial platform ABAQUS via its user defined subroutine (UMAT). A thermodynamic model , proposed by Chemisky et al. [1], is adopted to describe the total constitutive behavior of the SMA. This model considers three path-dependent strain mechanisms related to phase transformation, martensite reorientation and twin accommodation by the derivation of Gibbs free energy . Several thermodynamic tests from the literature subjected to tension-compression and bending loads are studied to validate our multiscale model , which shows good accuracy and reliability. Besides, this model could be used for further design and simulation of SMA applications in a wide range thanks to its generic computing platform ABAQUS.
Databáze: OpenAIRE