M. Sc. Marius Harnisch
Projekt
Förderung: Deutsche Forschungsgemeinschaft (DFG)
Projekt: SPP 2256 Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials- Multiscale Systems Of Plasticity in a Data-Driven Perspective- koordiniert von University Regensburg
Curriculum Vitae
Forschung
Entwicklung eines datengetriebenen FE2 Frameworks für pfadabhängiges Materialverhalten im Rahmen des Schwerpunktprogrammes SPP 2256 Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials im Projekt 3 Multiscale Systems Of Plasticity in a Data-Driven Perspective.
Forschungsinteressen
- Datengetriebene Mechanik für inelastisches Materialverhalten
- Künstliche Intelligenz (KI) und weitere Konzepte des maschinellen Lernens (ML)
- Multiskalen Modellierungskonzepte, inbesondere FE2
Veröffentlichungen
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
2024
- M. Harnisch, T. Bartel, L. Weyergraf, A. Menzel, B. Schweizer
Data-driven simulation of functional fatigue in shape memory alloy wires
Proc. Appl. Math. Mech., e202400079, 2024, https://doi.org/10.1002/pamm.202400079
2023
- T. Bartel, M. Harnisch, A. Menzel, B. Schweizer
Aspects of accuracy and uniqueness of solutions in data-driven mechanics
Proc. Appl. Math. Mech., e202200206, 2023, https://doi.org/10.1002/pamm.202200206
2024
- M. Harnisch, T. Bartel, B. Schweizer
Recent progress in multiscale systems of plasticity in a data-driven perspective
Annual Meeting SPP2256, Regensburg, Germany, 27.09.2024 - 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