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    Effective Mechanical Properties of Auxetic Materials: Numerical Predictions Using Variational Asymptotic Method Based Homogenization

    Source: Journal of Applied Mechanics:;2023:;volume( 090 ):;issue: 011::page 111001-1
    Author:
    Srivastava, Chetna
    ,
    Mahesh, Vinyas
    ,
    Pitchai, Pandi
    ,
    Guruprasad, P. J.
    ,
    Petrinic, Nik
    ,
    Scarpa, Fabrizio
    ,
    Harursampath, Dineshkumar
    ,
    Ponnusami, Sathiskumar A.
    DOI: 10.1115/1.4062845
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this work, the variational asymptotic method (VAM) based homogenization framework is used for the first time to determine the equivalent elastic stiffness tensor of auxetic materials. The proposed method allows the structural elements of the auxetic unit cell to naturally incorporate rotational degrees-of-freedom, without any ad-hoc assumptions. The overall macroscale homogenized response of the unit cells is considered to be fully anisotropic; specific possible responses, representative of orthotropy or transverse isotropy naturally emerge from the VAM-based homogenization, due to the arrangements of the structural elements making up the unit cell. For all the auxetic unit cell geometries considered in this study, the predictions obtained from the in-house python-based implementation of the VAM-based homogenization framework are validated using commercial finite element software (abaqus) and open literature. The results demonstrate the versatility and the computational efficiency of the VAM-based homogenization framework to describe auxetic metamaterials.
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      Effective Mechanical Properties of Auxetic Materials: Numerical Predictions Using Variational Asymptotic Method Based Homogenization

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    contributor authorSrivastava, Chetna
    contributor authorMahesh, Vinyas
    contributor authorPitchai, Pandi
    contributor authorGuruprasad, P. J.
    contributor authorPetrinic, Nik
    contributor authorScarpa, Fabrizio
    contributor authorHarursampath, Dineshkumar
    contributor authorPonnusami, Sathiskumar A.
    date accessioned2023-11-29T18:50:34Z
    date available2023-11-29T18:50:34Z
    date copyright7/20/2023 12:00:00 AM
    date issued7/20/2023 12:00:00 AM
    date issued2023-07-20
    identifier issn0021-8936
    identifier otherjam_90_11_111001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294409
    description abstractIn this work, the variational asymptotic method (VAM) based homogenization framework is used for the first time to determine the equivalent elastic stiffness tensor of auxetic materials. The proposed method allows the structural elements of the auxetic unit cell to naturally incorporate rotational degrees-of-freedom, without any ad-hoc assumptions. The overall macroscale homogenized response of the unit cells is considered to be fully anisotropic; specific possible responses, representative of orthotropy or transverse isotropy naturally emerge from the VAM-based homogenization, due to the arrangements of the structural elements making up the unit cell. For all the auxetic unit cell geometries considered in this study, the predictions obtained from the in-house python-based implementation of the VAM-based homogenization framework are validated using commercial finite element software (abaqus) and open literature. The results demonstrate the versatility and the computational efficiency of the VAM-based homogenization framework to describe auxetic metamaterials.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEffective Mechanical Properties of Auxetic Materials: Numerical Predictions Using Variational Asymptotic Method Based Homogenization
    typeJournal Paper
    journal volume90
    journal issue11
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.4062845
    journal fristpage111001-1
    journal lastpage111001-16
    page16
    treeJournal of Applied Mechanics:;2023:;volume( 090 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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