This image shows Jonas Kneifl

Jonas Kneifl

M.Sc.

Institute of Engineering and Computational Mechanics

Contact

+49 711 685 66414
+4971168566400

Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 3.101

Subject

Reusage and Reanalysis of Simulation Data in Structural Dynamics

Kneifl, J.; Grunert, D.; Fehr, J.: A non-intrusive nonlinear model reduction method for structural dynamical problems based on Machine Learning. International Journal for Numerical Methods in Engineering, 2021. DOI: 10.1002/nme.6712

Kneifl, J.; Fehr, J.: Machine learning algorithms for learning nonlinear terms of reduced mechanical models instructural dynamics. Poster in PAMM (Proceedings in Applied Mathematics and Mechanics) SAMM 2020 SpecialIssue, 2020. DOI:10.1002/pamm.202000353

Kneifl, J.: Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics, Masterarbeit MSC-298.
Institut für Technische und Numerische Mechanik, Stuttgart, 2020. (Fehr, J.; Hay, J.)

20. Oktober 2020: Virtual talk at the 6th GAMM AG DATA Workshop; "Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics"

"Matrix Approximation using the CUR Decomposition", project thesis  SA-34. University of Stuttgart, Insitute of Engineering and Computational Mechanics, 2021.

"Application of Physics Informed Neural Networks for the Approximation of Differential Equations in the Field of Rigid Body Dynamics", masterthesis MSC-316. University of Stuttgart, Insitute of Engineering and Computational Mechanics, 2021.

"Untersuchung der Eignung von Ersatzmodellen zur Analyse des Haltungseinflusses bei Heckaufprallevents anhand eines Hals-Nackenmodells", student thesis STUD-510. University of Stuttgart, Insitute of Engineering and Computational Mechanics, 2021. Co-supervision with Fabian Kempter, M.Sc.

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