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dc.contributor.authorLejeune, Emmaen_US
dc.date.accessioned2020-04-09T18:11:35Z
dc.date.available2020-04-09T18:11:35Z
dc.date.issued2020
dc.identifier.citationLejeune, E., 2020, Buckling Instability Classification (BIC). OpenBU, https://hdl.handle.net/2144/40085
dc.identifier.urihttps://hdl.handle.net/2144/40085
dc.descriptionLink to the manuscript “Geometric stability classification: datasets, metamodels, and adversarial attacks” is forthcoming. All code necessary to generate the BIC datasets and reproduce the metamodels demonstrated in the manuscript is available on GitHub (https://github.com/elejeune11/BIC). For questions, please contact Emma Lejeune (elejeune@bu.edu).en_US
dc.description.abstractThe Buckling Instability Classification (BIC) datasets contain the results of finite element simulations where a heterogeneous column is subject to a fixed level of applied displacement and is classified as either "Stable" or "Unstable." Each model input is a 16x1 vector where the entries of the vector dictate the Young's Modulus (E) of the corresponding portion of the physical column domain. Each input file has 16 columns one for each vector entry. For each 16x1 vector input, there is a single output that indicates if the column was stable or unstable at the fixed level of applied displacement. An output value of "0" indicates stable, and an output value of "1" indicates unstable. In BIC-1, we only allow two possible discrete values for E: E=1 or E=4. In BIC-2, we allow three possible discrete values for E: E=1, E=4, or E=7. In BIC-3, we allow continuous values (to three digits of precision) of E in the range E=1–8. BIC-1 consists of 65,536 simulation results. This exhausts the entire possible input domain. BIC-2 consists of 100,000 simulation results. This is less than 1% of the entire possible input domain. BIC-3 also consists of 100,000 simulation results. This is a tiny fraction of the entire possible input domain.en_US
dc.language.isoen_US
dc.rightsThis dataset is distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 License. The finite element simulations were conducted by Emma Lejeune using the open source software FEniCS (https://fenicsproject.org).en_US
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/
dc.subjectMetamodelen_US
dc.subjectMachine learningen_US
dc.subjectFinite element analysisen_US
dc.subjectBucklingen_US
dc.subjectGeometric instabilityen_US
dc.subjectOpen source dataseten_US
dc.titleBuckling Instability Classification (BIC)en_US
dc.typeDataseten_US


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This dataset is distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 License. The finite element simulations were conducted by Emma Lejeune using the open source software FEniCS (https://fenicsproject.org).
Except where otherwise noted, this item's license is described as This dataset is distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 License. The finite element simulations were conducted by Emma Lejeune using the open source software FEniCS (https://fenicsproject.org).