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Disambiguierung von "Kneifl, Jonas"

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A nonintrusive nonlinear model reduction method for structural dynamical problems based on machine learning

, , und . International journal for numerical methods in engineering, 122 (17): 4774-4786 (2021)
DOI: 10.1002/nme.6712

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Jonas Kneifl University of Stuttgart

Jonas Steigerwald University of Stuttgart

Jonas Barczyk University of Stuttgart

Jonas Hufert University of Stuttgart

Jonas Früh University of Stuttgart

 

Weitere Publikationen von Autoren mit dem selben Namen

Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics, und . Proceedings in Applied Mathematics and Mechanics, (2020)Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks, , , und . (2024)Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations, , , , und . Software, (2023)Related to: Kneifl, J, Rosin, D., Röhrle, O., Fehr, J.: Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction, 2022. tbd.Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics, und . 7th GAMM Juniors' Summer School on Applied Mathematics and Mechanics (SAMM), 20, S1, Seite e202000353. Wiley, (2021)Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators, , , und . ArXiv e-print 2109.10793, (2021)Crash Simulations of a Racing Kart's Structural Frame Colliding against a Rigid Wall, und . Software, (2023)Related to: Kneifl, J., Kutz, J. N., Brunton, S.L., Fehr, J.: Multi-Hierarchical Surrogate Learning of Structural Dynamical Systems Using Graph Convolutional Neural Networks. To be submitted (2023).An improved development process of production plants using digital twins with extended dynamic behaviour in virtual commissioning and control : Simulation@Operations, , , und . 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 3, Seite e202300225. Wiley, (2023)Human Occupant Motion in Pre-Crash Scenario, , und . Software, (2022)Related to: Jonas Kneifl, Julian Hay, and Jörg Fehr (2021). Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme. Preprint. arXiv: 2110.13583.On using Machine Learning Algorithms for Motorcycle Collision Detection, , , und . (2024)Deformation of a Structural Frame of a Racing Kart Colliding against a Rigid Wall, und . Software, (2020)Related to: Jonas Kneifl, Dennis Grunert, and Joerg Fehr (2021). A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning. In: International Journal for Numerical Methods in Engineering, 122:4774-4786. doi: 10.1002/nme.6712.