Data presented in the paper: "On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning" (dataset)

Data presented in the paper: "On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning"

doi: 10.4121/13019864.v1

The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/13019864

Datacite citation style:

Barcelos Carneiro M Da R, Iuri; Kerfriden, P. (Pierre); Frans van der Meer (2020): Data presented in the paper: "On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13019864.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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keywords

Active learning, Concurrent multiscale, Gaussian Processes, Probabilistic learning, Surrogate modeling

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CC BY 4.0

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by Iuri Rocha

, P. (Pierre) Kerfriden

, Frans van der Meer

This package contains data presented in the following publication: I.B.C.M. Rocha, P. Kerfriden, F.P. van der Meer, "On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning", 2020. All data have been generated with simulations with the in-house finite element code as described in the paper.

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