Published August 14, 2022 | Version 1
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Predicting Creep Failure by Machine Learning -- Which Features Matter?

  • 1. Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 2. Università degli Studi di Milano

Description

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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