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    A phenomenological two-phase constitutive model for porous shape memory alloys

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    Type
    Article
    Authors
    El Sayed, Tamer S.
    Gurses, Ercan
    Siddiq, Amir Mohammed
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Physical Science and Engineering (PSE) Division
    Date
    2012-07
    Permanent link to this record
    http://hdl.handle.net/10754/562228
    
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    Abstract
    We present a two-phase constitutive model for pseudoelastoplastic behavior of porous shape memory alloys (SMAs). The model consists of a dense SMA phase and a porous plasticity phase. The overall response of the porous SMA is obtained by a weighted average of responses of individual phases. Based on the chosen constitutive model parameters, the model incorporates the pseudoelastic and pseudoplastic behavior simultaneously (commonly reported for porous SMAs) as well as sequentially (i.e. dense SMAs; pseudoelastic deformation followed by the pseudoplastic deformation until failure). The presented model also incorporates failure due to the deviatoric (shear band formation) and volumetric (void growth and coalescence) plastic deformation. The model is calibrated by representative volume elements (RVEs) with different sizes of spherical voids that are solved by unit cell finite element calculations. The overall response of the model is tested against experimental results from literature. Finally, application of the presented constitutive model has been presented by performing finite element simulations of the deformation and failure in unaixial dog-bone shaped specimen and compact tension (CT) test specimen. Results show a good agreement with the experimental data reported in the literature. © 2012 Elsevier B.V. All rights reserved.
    Citation
    Sayed, T. E., Gürses, E., & Siddiq, A. (2012). A phenomenological two-phase constitutive model for porous shape memory alloys. Computational Materials Science, 60, 44–52. doi:10.1016/j.commatsci.2012.02.031
    Sponsors
    This work was funded by the KAUST GCR Academic Excellence Alliance program.
    Publisher
    Elsevier BV
    Journal
    Computational Materials Science
    DOI
    10.1016/j.commatsci.2012.02.031
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.commatsci.2012.02.031
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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