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M. Sc. Marius Harnisch
PROJECT
Funding: German Research Foundation (DFG)
Project: SPP 2256 Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials- Multiscale Systems Of Plasticity in a Data-Driven Perspective- coordinated by University Regensburg
Curriculum Vitae
Research
Development of a data-driven FE2 framework for path-dependent material behavior as part of the Priority Program SPP 2256 Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials in Project 3 Multiscale Systems Of Plasticity in a Data-Driven Perspective.
Research Interests
- Data-driven mechanics for inelastic material behavior
- Artificial Intelligence (AI) and other Machine Learning (ML) concepts.
- Multiscale modeling concepts, in particular FE2
Publications
2023
- T. Bartel, M. Harnisch, B. Schweizer, A. Menzel
A data-driven approach for plasticity using history surrogates: theory and application in the context of truss structures
Computer Methods in Applied Mechanics and Engineering, 414, 116138, 2023, doi: https://doi.org/10.1016/j.cma.2023.116138, Open Access
2023
- T. Bartel, M. Harnisch, A. Menzel, B. Schweizer
Aspects of accuracy and uniqueness of solutions in data-driven mechanics
Proc. Appl. Math. Math. Mech, e202200206, 2023, https://doi.org/10.1002/pamm.202200206
2024
- M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
Data-driven inelasticity enhanced by neural networks: Opportunities in computational mechanics
19th European Mechanics of Materials Conference, Madrid, 29.05.2024, Keynote presentation - M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
On neural networks as propagators in data-driven inelasticity
94th GAMM Annual Meeting, Magdeburg, 20.03.2024 - M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
Enhancing data-driven inelasticity with neural networks: Opportunities in computational mechanics
11th GAMM AG Data Workshop, Dresden, 07.02.2024 - M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
Neural Network propagators in data-driven inelasticity: An automated framework
23rd GAMM Seminar on Microstructures, Bochum, 25.01.2024
2023
- M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
Data-driven inelasticity enhanced by neural networks: Model-free simulations in computational mechanics
10th AG Data Workshop, Online, 20.12.2023 - M. Harnisch, T. Bartel, B. Schweizer
Multiscale systems of plasticity in a data-driven perspective: A status report
Annual Meeting SPP2256, Regensburg, Germany, 27.09.2023 - M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
A modular data-driven approach for inelasticity based on history surrogates
93rd GAMM Annual Meeting, Dresden, Germany, 01.06.2023 - M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
On a modular data-driven framework for inelastic material behavior using history surrogates
22nd GAMM Seminar on Microstructures, Vienna, Austria, 27.01.2023
2022
- M. Harnisch, T. Bartel, B. Schweizer
P3: Multiscale systems of plasticity in a data-driven perspective
Annual Meeting SPP2256, Regensburg, Germany, 29.09.2022 - M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
A data-driven approach for inelastic material behaviour using history surrogates
9th GACM Colloquium, Essen, Germany, 23.09.2022 - M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
On the simulation of inelastic material behavior using a data-driven approach based on history surrogates
92nd GAMM Annual Meeting, Aachen, Germany, 16.08.2022
2021
- M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
On data-driven solid mechanics and the extension towards inelastic material behavior
General Assembly of the GAMM Student Chapter TU Dortmund, Dortmund, Germany, 17.12.2021