Stored-energy-based fatigue criterion for shape memory alloys

  • Yahui Zhang
  • , Yajun You
  • , Ziad Moumni
  • , Gunay Anlas
  • , Jihong Zhu
  • , Weihong Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a new stored-energy-based model for structural fatigue of shape memory alloys (SMAs) where the conversion of hysteresis work into dissipation and stored energy is discussed in detail. The results show that during cyclic pseudoelastic process, while part of the hysteresis work is dissipated into heat, the remainder is stored in dislocations and in residual martensite variants. At macroscopic scale, during first few cycles, the stored energy is large and strongly influences the thermomechanical behavior of the SMA, it then gradually decreases at each cycle and approaches zero at the shakedown state. At microscopic scale, however, the stored energy continues to accumulate in the micro-structure and when it reaches a critical value, fatigue cracks initiate and propagate. In this study, a stored-energy-based criterion is proposed and its validation with experimental data shows that the stored energy is the relevant parameter to predict the fatigue of SMAs.

Original languageEnglish
Article number065027
JournalSmart Materials and Structures
Volume28
Issue number6
DOIs
Publication statusPublished - 14 May 2019

Keywords

  • cyclic behavior
  • fatigue
  • shape memory alloys
  • stored energy
  • thermomechanical coupling

Fingerprint

Dive into the research topics of 'Stored-energy-based fatigue criterion for shape memory alloys'. Together they form a unique fingerprint.

Cite this