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

doi:10.1007/978-3-030-21503-3_25

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

Solid Mechanics

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

4 Citations (Scopus)

254 Downloads (Pure)

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.

Original language	English
Title of host publication	ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing
Subtitle of host publication	Proceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue, June 2-7, 2019, Krakow, Poland
Editors	Antoni Niepokolczycki, Jerzy Komorowski
Publisher	Springer International Publishing AG
Pages	321-335
Number of pages	15
ISBN (Electronic)	978-3-030-21503-3
ISBN (Print)	978-3-030-21502-6
DOIs	https://doi.org/10.1007/978-3-030-21503-3_25
Publication status	Published - 3 Jul 2019
Event	ICAF 2019: 36TH Conference and 30th Symposium of the International Committee on Aeronautical Fatigue and Structural Integrity - Krakow, Poland Duration: 2 Jun 2019 → 7 Jun 2019 https://www.icaf2019.org/

Publication series

Name	Lecture Notes in Mechanical Engineering
Publisher	Springer Nature Switzerland AG
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	ICAF 2019
Country/Territory	Poland
City	Krakow
Period	2/06/19 → 7/06/19
Internet address	https://www.icaf2019.org/

Keywords

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

Access to Document

10.1007/978-3-030-21503-3_25Licence: Unspecified

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer Nature at https://link.springer.com/chapter/10.1007%2F978-3-030-21503-3_25. Please refer to any applicable terms of use of the publisher.
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Probabilistic Fatigue Methodology for Aircraft Landing Gear
Hoole, J. (Author), Booker, J. (Supervisor) & Cooper, J. (Supervisor), 23 Jun 2020
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

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Hoole, J., Sartor, P., Booker, J., Cooper, J., Gogouvitis, X. V., Ghouali, A., & Schmidt, R. K. (2019). A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components. In A. Niepokolczycki, & J. Komorowski (Eds.), ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing: Proceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue, June 2-7, 2019, Krakow, Poland (pp. 321-335). (Lecture Notes in Mechanical Engineering). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-21503-3_25

Hoole, Joshua ; Sartor, Pia ; Booker, Julian et al. / A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components. ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing: Proceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue, June 2-7, 2019, Krakow, Poland. editor / Antoni Niepokolczycki ; Jerzy Komorowski. Springer International Publishing AG, 2019. pp. 321-335 (Lecture Notes in Mechanical Engineering).

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title = "A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components",

abstract = "Safety-critical components, such as aircraft landing gear, are designed using the {\textquoteleft}safe-life{\textquoteright} 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 {\textquoteleft}big-data{\textquoteright}, can be used to support a probabilistic framework is presented.",

keywords = "Safe-life, Fatigue design, Probabilistic methods, Surrogate modelling, Big-data",

author = "Joshua Hoole and Pia Sartor and Julian Booker and Jonathan Cooper and Gogouvitis, \{X. V.\} and A. Ghouali and Schmidt, \{R. K.\}",

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booktitle = "ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing",

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Hoole, J, Sartor, P, Booker, J , Cooper, J, Gogouvitis, XV, Ghouali, A & Schmidt, RK 2019, A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components. in A Niepokolczycki & J Komorowski (eds), ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing: Proceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue, June 2-7, 2019, Krakow, Poland. Lecture Notes in Mechanical Engineering, Springer International Publishing AG, pp. 321-335, ICAF 2019, Krakow, Poland, 2/06/19. https://doi.org/10.1007/978-3-030-21503-3_25

A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components. / Hoole, Joshua; Sartor, Pia; Booker, Julian et al.
ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing: Proceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue, June 2-7, 2019, Krakow, Poland. ed. / Antoni Niepokolczycki; Jerzy Komorowski. Springer International Publishing AG, 2019. p. 321-335 (Lecture Notes in Mechanical Engineering).

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

TY - GEN

T1 - A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components

AU - Hoole, Joshua

AU - Sartor, Pia

AU - Booker, Julian

AU - Cooper, Jonathan

AU - Gogouvitis, X. V.

AU - Ghouali, A.

AU - Schmidt, R. K.

PY - 2019/7/3

Y1 - 2019/7/3

N2 - 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.

AB - 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.

KW - Safe-life

KW - Fatigue design

KW - Probabilistic methods

KW - Surrogate modelling

KW - Big-data

U2 - 10.1007/978-3-030-21503-3_25

DO - 10.1007/978-3-030-21503-3_25

M3 - Conference Contribution (Conference Proceeding)

SN - 978-3-030-21502-6

T3 - Lecture Notes in Mechanical Engineering

SP - 321

EP - 335

BT - ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing

A2 - Niepokolczycki, Antoni

A2 - Komorowski, Jerzy

PB - Springer International Publishing AG

T2 - ICAF 2019

Y2 - 2 June 2019 through 7 June 2019

ER -

Hoole J, Sartor P, Booker J , Cooper J, Gogouvitis XV, Ghouali A et al. A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components. In Niepokolczycki A, Komorowski J, editors, ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing: Proceedings of the 30th Symposium of the International Committee on Aeronautical Fatigue, June 2-7, 2019, Krakow, Poland. Springer International Publishing AG. 2019. p. 321-335. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-030-21503-3_25

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

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Probabilistic Fatigue Methodology for Aircraft Landing Gear

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