Scaled fatigue cracks under service loads

Osagie Akhigbe-Midu, Keith Davey*, Rooholamin Darvizeh, Hamed Sadeghi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Scaled experimentation is a powerful engineering tool yet its application to fatigue is limited by significant changes in behaviour with scale. The recent discovery of new similitude rules however opens new possibilities that are explored in this work through numerical experimentation for industrially representative fatigue-crack growth scenarios. It is shown for the first time, how the geometric size effects present in mixed mode fatigue tests are eliminated by performing two appropriately designed scaled experiments. The first order finite similitude theory is applied to mixed mode (modes I and II) fatigue crack growth in three case studies, viz., compact tension shear (CTS) specimen, wing fuselage attachment lug, and a T-joint with an inclined semi elliptical crack. Both planar and non-planar crack growth feature, along with surface and through thickness cracks. Low and high cycle fatigue (up to circa 60,000 cycles) is examined for three different materials (Al-6061 T6 alloy, structural steel, and AISI 316 stainless steel) under a variety of load ratios. The new rules return near exact crack-path predictions whereas lifecycle predictions have errors ranging between 1 % and 9 %. Paris law constants C and m are predicted with up to 99.9 % accuracy supporting the theory that Paris law is a first order similitude rule. Geometric size effects afflicting industrial type scaled-fatigue studies employing a damage tolerant design approach are confirmed to be eliminated on combination of information from two appropriately designed scaled models.

Original languageEnglish
Article number103991
JournalTheoretical and Applied Fracture Mechanics
Volume127
Early online date5 Jul 2023
DOIs
Publication statusPublished - 1 Oct 2023

Keywords

  • Damage tolerance
  • Fatigue
  • Finite similitude
  • Fracture mechanics
  • Scaling
  • Size effects

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    Sinclair, G. (Other)

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    ITS Research IT

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