MicroFaVa: A micromechanical code for predicting fatigue life variability

K. S. Chan, M. P. Enright, J. Kong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper summarizes the development of a probabilistic micromechanical code for treating variability in fatigue crack initiation and growth lives resulting from microstructure variations. The code is based on a set of microstructure-based fatigue models that predict fatigue crack initiation life, fatigue crack growth life, fatigue limit, fatigue crack growth threshold, crack size at initiation, and fracture toughness. Using microstructure information as material input, the code is capable of predicting the average behavior and the confidence limits of the crack initiation and crack growth lives of structural alloys under LCF or HCF loading. Application of the model to predicting the effects of microstructure on the fatigue crack growth response and life variability of Ti-6Al-4V will be presented to illustrate the utilities of the code for fatigue damage prognosis.

Original languageEnglish
Title of host publicationMaterials Damage Prognosis - Proceedings of a Symposium sponsored by the Structural Materials Division of the TMS held during the Materials Science and Technology 2004 Conference
EditorsJ.M. Larsen, L. Christodoulou, J.R. Calcaterra, M.L. Dent, M.M. Derriso, W.J. Hardman, J. Wayne Jones, S.M. Rusa
Pages135-142
Number of pages8
Publication statusPublished - 2005
EventMaterials Damage Prognosis - a Symposium of the Materials Science and Technology 2004 Conference - New Orleans, LA, United States
Duration: 2004 Sep 262004 Sep 30

Publication series

NameMaterials Damage Prognosis - Proceedings of a Symposium of the Materials Science and Technology 2004 Conference

Other

OtherMaterials Damage Prognosis - a Symposium of the Materials Science and Technology 2004 Conference
CountryUnited States
CityNew Orleans, LA
Period04/9/2604/9/30

Keywords

  • Fatigue crack growth variations
  • Material variability
  • Micromechanics
  • Probabilistic methods
  • Ti alloys

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Chan, K. S., Enright, M. P., & Kong, J. (2005). MicroFaVa: A micromechanical code for predicting fatigue life variability. In J. M. Larsen, L. Christodoulou, J. R. Calcaterra, M. L. Dent, M. M. Derriso, W. J. Hardman, J. Wayne Jones, & S. M. Rusa (Eds.), Materials Damage Prognosis - Proceedings of a Symposium sponsored by the Structural Materials Division of the TMS held during the Materials Science and Technology 2004 Conference (pp. 135-142). (Materials Damage Prognosis - Proceedings of a Symposium of the Materials Science and Technology 2004 Conference).