Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data

João Paulo Dias; Stephen Ekwaro-Osire; Americo Cunha; Shweta Dabetwar; Abraham Nispel; Fisseha M. Alemayehu; Haileyesus B. Endeshaw

doi:10.1016/j.ijfatigue.2019.06.011

Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data

João Paulo Dias, Stephen Ekwaro-Osire, Americo Cunha, Shweta Dabetwar, Abraham Nispel, Fisseha M. Alemayehu, Haileyesus B. Endeshaw

Mechanical Engineering

Research output: Contribution to journal › Article

8 Scopus citations

Abstract

This work proposes a parametric probabilistic approach to model damage accumulation using the double linear damage rule (DLDR) considering the existence of limited experimental fatigue data. A probabilistic version of DLDR is developed in which the joint distribution of the knee-point coordinates is obtained as a function of the joint distribution of the DLDR model input parameters. Considering information extracted from experiments containing a limited number of data points, an uncertainty quantification framework based on the Maximum Entropy Principle and Monte Carlo simulations is proposed to determine the distribution of fatigue life. The proposed approach is validated using fatigue life experiments available in the literature.

Original language	English
Pages (from-to)	246-258
Number of pages	13
Journal	International Journal of Fatigue
Volume	127
DOIs	https://doi.org/10.1016/j.ijfatigue.2019.06.011
State	Published - Oct 2019

Keywords

Cumulative fatigue damage
Double linear damage rule
Limited data experiments
Maximum Entropy Principle
Uncertainty quantification

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10.1016/j.ijfatigue.2019.06.011

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Dias, J. P., Ekwaro-Osire, S., Cunha, A., Dabetwar, S., Nispel, A., Alemayehu, F. M., & Endeshaw, H. B. (2019). Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data. International Journal of Fatigue, 127, 246-258. https://doi.org/10.1016/j.ijfatigue.2019.06.011

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abstract = "This work proposes a parametric probabilistic approach to model damage accumulation using the double linear damage rule (DLDR) considering the existence of limited experimental fatigue data. A probabilistic version of DLDR is developed in which the joint distribution of the knee-point coordinates is obtained as a function of the joint distribution of the DLDR model input parameters. Considering information extracted from experiments containing a limited number of data points, an uncertainty quantification framework based on the Maximum Entropy Principle and Monte Carlo simulations is proposed to determine the distribution of fatigue life. The proposed approach is validated using fatigue life experiments available in the literature.",

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Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data. / Dias, João Paulo; Ekwaro-Osire, Stephen; Cunha, Americo; Dabetwar, Shweta; Nispel, Abraham; Alemayehu, Fisseha M.; Endeshaw, Haileyesus B.

In: International Journal of Fatigue, Vol. 127, 10.2019, p. 246-258.

Research output: Contribution to journal › Article

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