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European Journal of Mechanics / A Solids

ISSN: 0997-7538

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Datasets associated with articles published in European Journal of Mechanics / A Solids

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1970
2024
1970 2024
6 results
  • SWCNT Nanotrusses
    Data accompanying the research paper: Čanađija, M., Košmerl, V., Zlatić, M., Vrtovšnik, D., Munjas, N.: A computational framework for nanotrusses: input convex neural networks approach, European Journal of Mechanics - A/Solids (2023) Trained neural networks for true-stress vs. true strain uniaxial tension/compression curves and diameter vs. true strain for 818 different single-walled carbon nanotubes at 300 K. Datasets obtained by molecular dynamics (MD) are also enclosed. Results used in the second example in the above paper, obtained by MD are provided. In the case you find this dataset useful, please cite the above paper. Full bibliographic data can be found at the DOI link: https://doi.org/10.1016/j.euromechsol.2023.105195
    • Dataset
  • Data for: A finite strain Raviart-Thomas tetrahedron
    These are the source files for the finite-strain Raviart-Thomas element, making use of Mathematica and Acegen.
    • Dataset
  • Supporting Information: Abaqus Python scripts
    Abaqus Python scripts for the analysis of laminar and fibrous infinite media undergoing a jamming transition
    • Dataset
  • Data for: A Method for Selection of Structural Theories for Low to High Frequency Vibration Analyses
    A Method for Selection of Structural Theories for Low to High Frequency Vibration Analyses HIGHER-ORDER WAVE PARAMETERS OF FLEXURAL BEAM VIBRATION FROM LOW TO HIGH FREQUENCIES
    • Dataset
  • Homogenized material law for porous single crystal ductile fracture through void growth and coalescence
    Ductile fracture through void growth to coalescence occurs at the grain scale in numerous metallic alloys encountered in engineering applications. Classical models used to perform numerical simulations of ductile fracture, like the Gurson-Tvergaard-Needleman model and its extensions, are relevant for the case of large voids compared to the grain size, in which a homogenization of the material behavior over a large number of grains is used. Such modelling prevents assessing the effects of microstructure on both crack path and propagation resistance. Therefore, in this upload, a material law based on homogenized constitutive equations for porous single crystals plasticity is proposed, featuring void growth and void coalescence stages, hardening and void shape evolutions. This finite strain material law is implemented within MFront code generator framework with an original numerical solving method based on the coupling of Newton-Raphson and fixed point algorithms. Void growth is accounted for by a mono-surface plastic yield criterion and void coalescence by another criterion derived from the classical yield function of Thomason. Three strain hardening modes are available and the finite strain paradigm used is logarithmic strain. Mfront material laws are suitable for mechanical solver codes with a UMAT-type routine, which enables the use of external material laws. Among such codes are Z-set, AMITEX_FFTP, CAST3M, Code_Aster, Abaqus...
    • Software/Code
  • Porous single crystal unit-cell simulation database for ductile fracture by void growth and coalescence
    Ductile fracture through void growth to coalescence occurs at the grain scale in numerous metallic alloys encountered in engineering applications. In order to perform mechanical homogenization of porous single crystals, a database of porous single crystal unit-cell simulation results has been gathered through Finite Element Modeling and Fast-Fourrier Transform simulations, respectively performed on Z-set and Amitex_FFTP. In these simulations, a cubic unit-cell with a unique central spherical void undergo axisymmetric mechanical loading. Mechanical simulations are performed within finite strain theory. Input parameters of interest are stress triaxiality, crystallographic orientation, initial porosity and strain hardening law type; results include macroscopic stress, macroscopic deformation gradient, porosity, void aspect ratio, ligament size and cell aspect ratio.
    • Dataset