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

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

Hoole, Joshua / Sartor, Pia / Booker, Julian / Cooper, Jonathan / Gogouvitis, Xenofon V. / Ghouali, Amine / Schmidt, R. Kyle

Abstract

Abstract 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.

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Dokumentinformationen

Titel :

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

Beteiligte:

Hoole, Joshua (Autor:in) / Sartor, Pia (Autor:in) / Booker, Julian (Autor:in) / Cooper, Jonathan (Autor:in) / Gogouvitis, Xenofon V. (Autor:in) / Ghouali, Amine (Autor:in) / Schmidt, R. Kyle (Autor:in)

Erschienen in:

ICAF 2019 – Structural Integrity in the Age of Additive Manufacturing ; 321-335

Lecture Notes in Mechanical Engineering

Erscheinungsdatum :

2019-07-03

Format / Umfang :

15 pages

ISBN :

978-3-030-21502-6 , 978-3-030-21503-3

ISSN :

2195-4364 , 2195-4356

DOI :