A Data-Driven Approach for Plasticity Using History Surrogates: Theory and Application in the Context of Truss Structures

39 Pages Posted: 9 Nov 2022

See all articles by Thorsten Bartel

Thorsten Bartel

Technical University of Dortmund

Marius Harnisch

Technical University of Dortmund

Ben Schweizer

Technical University of Dortmund

Andreas Menzel

Lund University

Abstract

HighlightsWe present an extension of data-driven mechanics to plasticityThe novel scheme is based on history surrogates and propagatorsDue to the modular structure of the novel approachprogram codes for data-driven elasticity only need to be adapted to a minor extentprogram codes for data set generation only need to be adapted to a minor extentThe novel scheme utilizes a static data set that does not need to be adapted or changed during simulationsIn perspective, the algorithm should also be straight-forward to extend, e.g. with respect to more complex load paths and further phenomena such as phase transformations

Keywords: data-driven mechanics, inelastic material behavior, plasticity, history surrogates, propagator

Suggested Citation

Bartel, Thorsten and Harnisch, Marius and Schweizer, Ben and Menzel, Andreas, A Data-Driven Approach for Plasticity Using History Surrogates: Theory and Application in the Context of Truss Structures. Available at SSRN: https://ssrn.com/abstract=4272655

Thorsten Bartel (Contact Author)

Technical University of Dortmund ( email )

Friedrich-Wöhler-Weg 6
Dortmund, 44227
Germany

Marius Harnisch

Technical University of Dortmund ( email )

Friedrich-Wöhler-Weg 6
Dortmund, 44227
Germany

Ben Schweizer

Technical University of Dortmund ( email )

Friedrich-Wöhler-Weg 6
Dortmund, 44227
Germany

Andreas Menzel

Lund University ( email )

Box 117
Lund, SC S221 00
Sweden

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