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Predicting Creep Failure by Machine Learning -- Which Features Matter? - MaRDI portal

Predicting Creep Failure by Machine Learning -- Which Features Matter?

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DOI10.5281/zenodo.7131727Zenodo7131727MaRDI QIDQ6708138

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 14 August 2022

Copyright license: No records found.



Mean, median and standard deviation of peak currents and voltages at peak current for random fuse models in a quasistatic protocol for varying sizes, disorder and hierarchical/nonhierarchical architecture. This data belongs to this arxiv preprint: https://arxiv.org/abs/2208.06923 which will (hopefully) be published in Forces in Mechanics. The code used to generate this data can be found here: https://simlab.ww.uni-erlangen.de/publications/predicting-creep-failure-by-machine-learning/






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