A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components

Joshua Hoole*, Pia Sartor, Julian Booker, Jonathan Cooper, X. V. Gogouvitis, A. Ghouali, R. K. Schmidt

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
49 Downloads (Pure)


Safety-critical components, such as aircraft landing gear, are designed using the ‘safe-life’ fatigue analysis process. Variability exists within materials data, loads data and component dimensions and is currently mitigated using safety factors. Probabilistic approaches to safe-life fatigue design have been proposed to better represent this variability. However, challenges currently exist that prevent the wider utilisation of a probabilistic approach. This paper presents a framework that aims to overcome these challenges. The statistical characterisation, probabilistic, surrogate modelling and sensitivity analysis methods required to implement the framework are introduced. Finally, a discussion of how recent advances within aerospace fatigue design, such as ‘big-data’, can be used to support a probabilistic framework is presented.
Original languageEnglish
Title of host publicationICAF 2019 - Structural Integrity in the Age of Additive Manufacturing
Subtitle of host publicationProceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue, June 2-7, 2019, Krakow, Poland
EditorsAntoni Niepokolczycki, Jerzy Komorowski
PublisherSpringer International Publishing AG
Number of pages15
ISBN (Electronic)978-3-030-21503-3
ISBN (Print)978-3-030-21502-6
Publication statusPublished - 3 Jul 2019
EventICAF 2019: 36TH Conference and 30th Symposium of the International Committee on Aeronautical Fatigue and Structural Integrity - Krakow, Poland
Duration: 2 Jun 20197 Jun 2019

Publication series

NameLecture Notes in Mechanical Engineering
PublisherSpringer Nature Switzerland AG
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364


ConferenceICAF 2019
Internet address


  • Safe-life
  • Fatigue design
  • Probabilistic methods
  • Surrogate modelling
  • Big-data

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