Fatigue analysis of polycrystalline materials using peridynamic theory with a novel crack tip detection algorithm

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Abstract

This study presents prediction of crack propagation in polycrystalline materials under cyclic loads using Peridynamic (PD) theory. The PD fatigue model utilizes the strain-load cycle (ε-N) data and introduces the “remaining life” of each bond calculated from its cyclic strain, which changes over time. The model also captures the traditional Paris law, which is widely used for computing the fatigue crack growth. Moreover, a new crack tip detection algorithm is introduced to adaptively detect the crack tip which is necessary for the PD fatigue model. Finally, several numerical cases are considered to investigate the effect of the strength of grain boundaries and the size of grains on the fatigue behaviour of polycrystalline materials.
Original languageEnglish
Article number108572
JournalOcean Engineering
Volume222
Early online date14 Jan 2021
DOIs
Publication statusPublished - 15 Feb 2021

Keywords

  • peridynamics
  • fatigue
  • polycrystall
  • crack tip detection

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