Method for statistical evaluation of cumulative damage models applied to block loading

There is an abundance of nonlinear fatigue damage accumulation models but a lack of verification and comparison to experimental datasets. First, an extensive two‐level block loading experimental fatigue dataset is reprocessed according to current standard practice. Next, four nonlinear damage accumu...

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Bibliographic Details
Published in:Fatigue & fracture of engineering materials & structures 2022-11, Vol.45 (11), p.3319-3332
Main Authors: Hectors, Kris, Van Hecke, Tanja, De Waele, Wim
Format: Article
Language:English
Subjects:
Block loading
Cumulative damage
Damage accumulation
Damage assessment
damage models
Datasets
fatigue
Fatigue failure
miner
nonlinear damage accumulation
Palmgren-Miner rule
Verification
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Summary:There is an abundance of nonlinear fatigue damage accumulation models but a lack of verification and comparison to experimental datasets. First, an extensive two‐level block loading experimental fatigue dataset is reprocessed according to current standard practice. Next, four nonlinear damage accumulation models and the Palmgren–Miner linear damage rule are critically compared using a range of statistical metrics. For the considered dataset, the Palmgren–Miner rule consistently performs worst and the damage curve approach is found to perform significantly better than the other nonlinear models. This study shows that the current practice of performance verification of new fatigue damage accumulation models in literature is too limited which enables cherry‐picking of verification datasets to improve perceived performance. Future fatigue damage accumulation models should be verified much more rigorously to both readily available and new experimental datasets.
ISSN:8756-758X
1460-2695
DOI:10.1111/ffe.13820