• Title of article

    Abaqus implementation of extended finite element method using a level set representation for three-dimensional fatigue crack growth and life predictions

  • Author/Authors

    Shi، نويسنده , , Jianxu and Chopp، نويسنده , , David and Lua، نويسنده , , Jim and Sukumar، نويسنده , , N. and Belytschko، نويسنده , , Ted، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    24
  • From page
    2840
  • To page
    2863
  • Abstract
    A three-dimensional extended finite element method (X-FEM) coupled with a narrow band fast marching method (FMM) is developed and implemented in the Abaqus finite element package for curvilinear fatigue crack growth and life prediction analysis of metallic structures. Given the level set representation of arbitrary crack geometry, the narrow band FMM provides an efficient way to update the level set values of its evolving crack front. In order to capture the plasticity induced crack closure effect, an element partition and state recovery algorithm for dynamically allocated Gauss points is adopted for efficient integration of historical state variables in the near-tip plastic zone. An element-based penalty approach is also developed to model crack closure and friction. The proposed technique allows arbitrary insertion of initial cracks, independent of a base 3D model, and allows non-self-similar crack growth pattern without conforming to the existing mesh or local remeshing. Several validation examples are presented to demonstrate the extraction of accurate stress intensity factors for both static and growing cracks. Fatigue life prediction of a flawed helicopter lift frame under the ASTERIX spectrum load is presented to demonstrate the analysis procedure and capabilities of the method.
  • Keywords
    fatigue life prediction , Fracture mechanics , Crack growth , Stress intensity factor , X-FEM
  • Journal title
    ENGINEERING FRACTURE MECHANICS
  • Serial Year
    2010
  • Journal title
    ENGINEERING FRACTURE MECHANICS
  • Record number

    2343233