Authors: | Poelstra, Klaas Bartel, Thorsten Schweizer, Ben |
Title: | A data-driven framework for evolutionary problems in solid mechanics |
Language (ISO): | en |
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. |
URI: | http://hdl.handle.net/2003/42229 http://dx.doi.org/10.17877/DE290R-24064 |
Issue Date: | 2022-11-17 |
Rights link: | https://creativecommons.org/licenses/by-nc/4.0/ |
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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