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Open-access experiment dataset for fatigue damage accumulation and life prediction models

Kris Hectors (UGent) , Dennis Vanspeybrouck, Jelle Plets (UGent) , Quinten Bouckaert and Wim De Waele (UGent)
(2023) METALS. 13(3).
Author
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Abstract
This work addresses the lack of focus on verification and comparison of existing fatigue damage accumulation and life prediction models on the basis of large and well-documented experiment datasets. Sixty-four constant amplitude, 54 two-level block loading, and 27 three-level block loading valid experiments were performed in order to generate an open-access, high-quality dataset that can be used as a benchmark for existing models. In the future, more experiments of various specimen geometries and loading conditions will be added. The obtained dataset was used for a study comparing five (non)linear fatigue damage and life prediction models. It is shown how the performance of several (non)linear damage models is strongly dependent on the considered material dataset and loading sequence. Therefore, it is important to verify models with a broad set of independent datasets, as many existing models show significant bias to certain datasets.
Keywords
General Materials Science, Metals and Alloys, endurance, rotating bending, S-N curve, nonlinear damage, metals, experiments, damage accumulation, fatigue

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MLA
Hectors, Kris, et al. “Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models.” METALS, vol. 13, no. 3, 2023, doi:10.3390/met13030621.
APA
Hectors, K., Vanspeybrouck, D., Plets, J., Bouckaert, Q., & De Waele, W. (2023). Open-access experiment dataset for fatigue damage accumulation and life prediction models. METALS, 13(3). https://doi.org/10.3390/met13030621
Chicago author-date
Hectors, Kris, Dennis Vanspeybrouck, Jelle Plets, Quinten Bouckaert, and Wim De Waele. 2023. “Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models.” METALS 13 (3). https://doi.org/10.3390/met13030621.
Chicago author-date (all authors)
Hectors, Kris, Dennis Vanspeybrouck, Jelle Plets, Quinten Bouckaert, and Wim De Waele. 2023. “Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models.” METALS 13 (3). doi:10.3390/met13030621.
Vancouver
1.
Hectors K, Vanspeybrouck D, Plets J, Bouckaert Q, De Waele W. Open-access experiment dataset for fatigue damage accumulation and life prediction models. METALS. 2023;13(3).
IEEE
[1]
K. Hectors, D. Vanspeybrouck, J. Plets, Q. Bouckaert, and W. De Waele, “Open-access experiment dataset for fatigue damage accumulation and life prediction models,” METALS, vol. 13, no. 3, 2023.
@article{01GWP4BGWQV27742D5J9EG0P9W,
  abstract     = {{This work addresses the lack of focus on verification and comparison of existing fatigue damage accumulation and life prediction models on the basis of large and well-documented experiment datasets. Sixty-four constant amplitude, 54 two-level block loading, and 27 three-level block loading valid experiments were performed in order to generate an open-access, high-quality dataset that can be used as a benchmark for existing models. In the future, more experiments of various specimen geometries and loading conditions will be added. The obtained dataset was used for a study comparing five (non)linear fatigue damage and life prediction models. It is shown how the performance of several (non)linear damage models is strongly dependent on the considered material dataset and loading sequence. Therefore, it is important to verify models with a broad set of independent datasets, as many existing models show significant bias to certain datasets.}},
  articleno    = {{621}},
  author       = {{Hectors, Kris and Vanspeybrouck, Dennis and Plets, Jelle and Bouckaert, Quinten and De Waele, Wim}},
  issn         = {{2075-4701}},
  journal      = {{METALS}},
  keywords     = {{General Materials Science,Metals and Alloys,endurance,rotating bending,S-N curve,nonlinear damage,metals,experiments,damage accumulation,fatigue}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{17}},
  title        = {{Open-access experiment dataset for fatigue damage accumulation and life prediction models}},
  url          = {{http://doi.org/10.3390/met13030621}},
  volume       = {{13}},
  year         = {{2023}},
}
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