A. Schönle, C. Gnanasambandham, und P. Eberhard. Calm, smooth and smart : novel approaches for influencing vibrations by means of deliberately introduced dissipation, Volume 102 von Lecture notes in applied and computational mechanics, Springer, (2024)
F. Matter, I. Iroz, und P. Eberhard. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 22, 1, Seite e202200323. Wiley, (2023)
M. Rosenfelder, H. Ebel, und P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). A Force-Based Formation Synthesis Approach for the Cooperative Transportation of Objects. In: Petrič, T., Ude, A., Žlajpah, L. (eds) Advances in Service and Industrial Robotics. RAAD 2023. Mechanisms and Machine Science, vol 135. Springer, Cham. doi: 10.1007/978-3-031-32606-6_37.
J. Rettberg, D. Wittwar, P. Buchfink, A. Brauchler, P. Ziegler, J. Fehr, und B. Haasdonk. Dataset, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023. doi: 10.1080/13873954.2023.2173238.
M. Rosenfelder, H. Ebel, und P. Eberhard. Dataset, (2023)Related to: Rosenfelder, M., Ebel, H., Eberhard, P. (2023). Force-based organization and control scheme for the non-prehensile cooperative transportation of objects. Robotica, pp. 1-14, 2023. doi: 10.1017/S0263574723001704.
H. Ebel, M. Rosenfelder, und P. Eberhard. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 4, Seite e202300022. Wiley, (2023)
P. Rodegast, S. Maier, J. Kneifl, und J. Fehr. Software, (2023)Related to: Rodegast, P., Maier, S., Kneifl, J., Fehr, J.: On using Machine Learning Algorithms for Motorcycle Collision Detection, 2023. tbd.
A. Kalu-Uka, C. Ozoegwu, und P. Eberhard. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 22, 1, Seite e202200111. Wiley, (2023)
B. Röder, H. Ebel, und P. Eberhard. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 4, Seite e202300060. Wiley, (2023)
D. Pfeifer, J. Scheid, J. Kneifl, und J. Fehr. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 3, Seite e202300225. Wiley, (2023)
J. Rettberg, D. Wittwar, und R. Herkert. Software, (2023)Related to: Rettberg, J.; Wittwar, D.; Buchfink, P.; Brauchler, A.; Ziegler, P.; Fehr, J.; Haasdonk, B.: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. Mathematical and Computer Modelling of Dynamical Systems, 2023, Vol. 29, No. 1, 116-148. doi: 10.1080/13873954.2023.2173238.
F. Kempter, L. Lantella, N. Stutzig, J. Fehr, und T. Siebert. Software, (2023)Related to: Kempter, Fabian; Lantella, Lorena; Stutzig, Norman; Fehr, Jörg and Siebert, Tobias: Role of Rotated Head Postures on Volunteer Kinematics and Muscle Activity in Braking Scenarios Performed on a Driving Simulator, Annals of Biomedical Engineering , Vol. 51, No. 4 p. 771-782 2023. doi: 10.1007/s10439-022-03087-9.
J. Kneifl, D. Rosin, O. Avci, O. Röhrle, und J. Fehr. 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.
E. Hartlieb, P. Ziegler, und P. Eberhard. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 22, 1, Seite e202200324. Wiley, (2023)
M. Steffen. Dataset, (2023)Related to: Maier, S.: Simulation of a Novel Restraint Safety Concept for Motorcycles, Dissertation, University of Stuttgart, Shaker Verlag, Aachen, tbd.
S. Maier, und J. Fehr. Proceedings of the 27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Seite 23-0189-O. NHTSA, (2023)
J. Kneifl, und J. Fehr. 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).