A strategy to train machine learning material models for finite element simulations on data acquirable from physical experiments
Pauline Böhringer, Daniel Sommer, Thomas Haase, Martin Barteczko, Joachim Sprave, Markus Stoll, Celalettin Karadoğan, David Koch, Peter Middendorf, Mathias Liewald
Topics & Concepts
Artificial neural networkComputer scienceField (mathematics)Finite element methodProcess (computing)ComputationEvolutionary algorithmEvolutionary computationMachine learningArtificial intelligenceMathematical optimizationAlgorithmEngineeringMathematicsOperating systemStructural engineeringPure mathematicsMachine Learning in Materials ScienceModel Reduction and Neural NetworksStructural Health Monitoring Techniques