Prediction of ductile failure in Ti᾿Al᾿V using a local strain-to-failure criterion
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  • 作者:A. J. Gross ; K. Ravi-Chandar
  • 关键词:Anisotropic plasticity ; Digital image correlation ; Microscopy ; Voids
  • 刊名:International Journal of Fracture
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:198
  • 期:1-2
  • 页码:221-245
  • 全文大小:6,645 KB
  • 参考文献:Boyce BL et al (2016) The second Sandia fracture challenge: predictions of ductile failure under quasi-static and moderate-rate dynamic loading. Int J Fract. doi:10.​1007/​s10704-016-0089-7
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    Ghahremaninezhad A, Ravi-Chandar K (2012) Ductile failure behavior of polycrystalline Al 6061-T6. Int J Fract 174:177–202CrossRef
    Ghahremaninezhad A, Ravi-Chandar K (2013) Ductile failure behavior of polycrystalline Al 6061-T6 under shear dominant loading. Int J Fract 180:23–39CrossRef
    Gross AJ, Ravi-Chandar K (2014) Prediction of ductile failure using a local strain-to-failure criterion. Int J Fract 186:69–91CrossRef
    Gross AJ, Ravi-Chandar K (2015) On the extraction of elastic–plastic constitutive properties from three-dimensional deformation measurements. J Appl Mech 82:071013CrossRef
    Haltom SS, Kyriakides S, Ravi-Chandar K (2013) Ductile failure under combined shear and tension. Int J Fract 50:1507–1522
    Hill R (1948) A theory of the yielding and plastic flow of anisotropic metals. Proc R Soc Lond Ser A Math Phys Sci 193:281–297CrossRef
    McClintock FA (1968) A criterion for ductile fracture by the growth of holes. J Appl Mech 35:363–371
    Zhang WJ, Reddy BV, Deevi SC (2001) Physical properties of TiAl-base alloys. Scr Mater 45:645–651
  • 作者单位:A. J. Gross (1)
    K. Ravi-Chandar (1)

    1. Center for Mechanics of Solids, Structures, and Materials, Department of Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, Austin, TX, 78712-1221, USA
  • 刊物类别:Chemistry and Materials Science
  • 刊物主题:Chemistry
    Characterization and Evaluation Materials
    Mechanics
    Civil Engineering
    Automotive and Aerospace Engineering and Traffic
    Mechanical Engineering
  • 出版者:Springer Netherlands
  • ISSN:1573-2673
文摘
In this article, we provide the details of the predictive simulations performed by the University of Texas team in response to the second Sandia Fracture Challenge (SFC2) (Boyce et al. in Int J Fract, 2016). The methods used are an adaptation of those used in the first SFC. Specifically, the material constitutive model was calibrated using tensile and shear test data through an inverse method. A strain-to-failure criterion was postulated using the loading history from the first point to fail in both a tension and shear test. These models are then embedded in a highly refined finite element simulation to perform a blind prediction of the failure behavior for the SFC2 geometry. These results are compared with experiments performed by Sandia National Laboratories and additional experiments that were performed at the University of Texas at Austin, in which full-field strain measurements and high speed videography were performed in order to further understand the deformation and failure of these specimens.

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