Gadinger, Marc
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Postanschrift:
Martensstraße 9 91058 Erlangen Standort: Paul-Gordan-Straße 5 91052 Erlangen (Röthelheim-Campus) |
Forschungsschwerpunkte
- Zeitfestigkeitsverhalten von Faser-Kunststoff-Verbunden
- Materialdegradation infolge zyklischer Belastung
Lehre
Praktika:
- Praktikum Matlab
Auszeichnungen
- Masterpreis (Diehl Stiftung & Co. KG)
Veröffentlichungen
2024
Design of the Load Introduction of Continuous Fibre-Reinforced Components for Cyclic Loading
35th Symposium Design for X (DFX2024) (Bamberg, 12. September 2024 - 13. September 2024)
In: Dieter Krause, Kristin Paetzold-Byhain, Sandro Wartzack (Hrsg.): Proceedings of the 35th Symposium Design for X (DFX2024) 2024
DOI: 10.35199/dfx2024.12
URL: https://www.designsociety.org/publication/47579/Design+of+the+Load+Introduction+of+Continuous+Fibre-Reinforced+Components+for+Cyclic+Loading
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A Simulation-Based Approach for the Automated Design of Fatigue Resistant Continuous Fibre-Reinforced Components
35th Symposium Design for X (DFX2024) (Bamberg, 12. September 2024 - 13. September 2024)
In: Dieter Krause, Kristin Paetzold-Byhain, Sandro Wartzack (Hrsg.): Proceedings of the 35th Symposium Design for X (DFX2024) 2024
DOI: 10.35199/dfx2024.10
URL: https://www.designsociety.org/publication/47577/A+Simulation-Based+Approach+for+the+Automated+Design+of+Fatigue+Resistant+Continuous+Fibre-Reinforced+Components
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Entwicklung eines Vorgehens zur automatisierten Auslegung zyklisch belasteter, endlosfaserverstärkter Bauteile
In: Proceedings from the NAFEMS DACH Conference 2024 2024
URL: https://www.nafems.org/publications/resource_center/dach24-pres-47/
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2023
Using machine learning to increase efficiency in design of experiments for cyclic characterization of fibre-reinforced plastics
34th Symposium Design for X (DFX2023) (Radebeul, 14. September 2023 - 15. September 2023)
In: Dieter Krause, Kristin Paetzold-Byhain, Sandro Wartzack (Hrsg.): Proceedings of the 34th Symposium Design for X (DFX2023) 2023
DOI: 10.35199/dfx2023.12
URL: https://www.designsociety.org/publication/46853/Using+machine+learning+to+increase+efficiency+in+design+of+experiments+for+cyclic+characterization+of+fibre-reinforced+plastics
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Fatigue Behaviour and Its Effect on the Residual Strength of Long-Fibre-Reinforced Thermoplastic PP LGF30
In: Materials 16 (2023), S. 6174
ISSN: 1996-1944
DOI: 10.3390/ma16186174
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