Prediction of creep failure time using machine learning
DOI10.5281/zenodo.7131771Zenodo7131771MaRDI QIDQ6708141
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 9 October 2020
Copyright license: No records found.
Dataset from an elastoplastic element creep model with disorder from this publication: https://www.nature.com/articles/s41598-020-72969-6#author-information The data contains different disorder parameters, applied stresses and system sizes. Each sample is described by a csv file with four columns: The first one is a running index from zero to the number of rows in the file minus one, the second one is the number of relaxation steps performed (check the publication what this means), the third one is the index of the element being relaxed/failing and the fourth is a time increment. To get the total time, simply sum up the time increments. For information, please contact Soumyayajyoti Biswas.
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