2022
DOI: 10.1002/zamm.202100538
|View full text |Cite
|
Sign up to set email alerts
|

A data‐driven framework for evolutionary problems in solid mechanics

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 thi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…Forays into the application of data-driven mechanics to inelastic material behavior have been been achieved by [14] and [15], among others. In this context, [16] present a sophisticated methodology to address the involved challenges by using a neural network to capture the material's history.…”
Section: Introductionmentioning
confidence: 99%
“…Forays into the application of data-driven mechanics to inelastic material behavior have been been achieved by [14] and [15], among others. In this context, [16] present a sophisticated methodology to address the involved challenges by using a neural network to capture the material's history.…”
Section: Introductionmentioning
confidence: 99%