A Data-Driven Approach for Plasticity Using History Surrogates: Theory and Application in the Context of Truss Structures
39 Pages Posted: 9 Nov 2022
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
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