Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Poelstra, Klaas | - |
dc.contributor.author | Bartel, Thorsten | - |
dc.contributor.author | Schweizer, Ben | - |
dc.date.accessioned | 2023-12-15T13:25:30Z | - |
dc.date.available | 2023-12-15T13:25:30Z | - |
dc.date.issued | 2022-11-17 | - |
dc.identifier.uri | http://hdl.handle.net/2003/42229 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-24064 | - |
dc.description.abstract | Data-driven schemes introduced a new perspective in elasticity: While certain physical principles are regarded as invariable, material models for the relation between strain and stress are replaced by data clouds of admissible pairs of these variables. A data-driven approach is of particular interest for plasticity problems, since the material modeling is even more unclear in this field. Unfortunately, so far, data-driven approaches to evolutionary problems are much less understood. We try to contribute in this area and propose an evolutionary data-driven scheme. We present a first analysis of the scheme regarding existence and data convergence. Encouraging numerical tests are also included. | en |
dc.language.iso | en | de |
dc.relation.ispartofseries | ZAMM : journal of applied mathematics and mechanics = Zeitschrift für angewandte Mathematik und Mechanik;103(3) | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | de |
dc.subject.ddc | 510 | - |
dc.title | A data-driven framework for evolutionary problems in solid mechanics | en |
dc.type | Text | de |
dc.type.publicationtype | Article | de |
dcterms.accessRights | open access | - |
eldorado.secondarypublication | true | de |
eldorado.secondarypublication.primaryidentifier | DOI https://doi.org/10.1002/zamm.202100538 | de |
eldorado.secondarypublication.primarycitation | Poelstra, K., Bartel, T., Schweizer, B.: A data-driven framework for evolutionary problems in solid mechanics. Z Angew Math Mech. 103, e202100538 (2023). https://doi.org/10.1002/zamm.202100538 | de |
Appears in Collections: | Lehrstuhl I Analysis |
Files in This Item:
File | Description | Size | Format | |
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Z Angew Math Mech - 2022 - Poelstra - A data‐driven framework for evolutionary problems in solid mechanics.pdf | DNB | 1.03 MB | Adobe PDF | View/Open |
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