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Journal of Quality and Reliability Engineering
Article . 2011 . Peer-reviewed
License: CC BY
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zbMATH Open
Article . 2011
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Probabilistic Modeling of Fatigue Damage Accumulation for Reliability Prediction

Probabilistic modeling of fatigue damage accumulation for reliability prediction
Authors: Rathod, Vijay; Yadav, Om Prakash; Rathore, Ajay; Jain, Rakesh;

Probabilistic Modeling of Fatigue Damage Accumulation for Reliability Prediction

Abstract

A methodology for probabilistic modeling of fatigue damage accumulation for single stress level and multistress level loading is proposed in this paper. The methodology uses linear damage accumulation model of Palmgren‐Miner, a probabilistic S‐N curve, and an approach for a one‐to‐one transformation of probability density functions to achieve the objective. The damage accumulation is modeled as a nonstationary process as both the expected damage accumulation and its variability change with time. The proposed methodology is then used for reliability prediction under single stress level and multistress level loading, utilizing dynamic statistical model of cumulative fatigue damage. The reliability prediction under both types of loading is demonstrated with examples.

Keywords

Reliability, availability, maintenance, inspection in operations research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
58
Top 10%
Top 10%
Top 10%
gold