Weibull or Lognormal Distribution to Characterize Fatigue Life Scatter – Which is More Suitable? – Continued
Abstract This paper describes a study to determine whether fatigue test life scatter is best characterised by a Weibull or lognormal statistical distribution for a high strength steel used for landing gear structures. It is a response to “Face 2” of the ICAF 2017 Plantema Memorial Lecture and 2019 follow-up paper with the question; “Weibull or Lognormal Distributions to Characterize Fatigue Life Scatter?” These concluded that a Weibull distribution appears to be more suitable than a lognormal distribution for statistical modelling of fatigue life scatter to define an allowable service life at a specific probability of failure. Those studies used a homogenous dataset of 18 fatigue tests, and a non-homogenous dataset of 86 fatigue tests from a variety of sources. This paper reviewed HBK historical fatigue tests to identify a homogeneous dataset of 371 fatigue tests for a high strength steel used for landing gear structures. Weibull and lognormal statistical modelling of this dataset concluded that its fatigue life scatter is best characterized by the lognormal distribution.
Authors
- Andrew Halfpenny
- Rob Plaskitt (ORCID: https://orcid.org/0000-0001-8872-5345)
- Chris Wynn-Jones
Publication Details
- Journal
- Fatigue of Aircraft Structures
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2478/fas-2024-0011
- Primary Topic
- Fatigue and fracture mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00