Prof. Dr.-Ing. Sigrid Leyendecker



Organisationseinheit


Lehrstuhl für Technische Dynamik


Preise / Auszeichnungen


2016 : SMASIS 2016 Best Student Paper



Projektleitung

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MKS-Menschenmodelle: Optimalsteuerung biomechanischer MKS-Menschenmodelle für Simulationsanwendungen in der virtuellen Montageplanung
(Optimal control of biomechanical MBS-Digital Human Models for simulation in the virtual assembly planning)
Prof. Dr.-Ing. Sigrid Leyendecker
(01.11.2015 - 31.10.2018)

Protein flexibility and conformational ensembles from kino-geometric modeling, sampling and motion planning.
Prof. Dr.-Ing. Sigrid Leyendecker
(01.06.2014)

(Bionicum Forschung):
Entwicklung künstlicher Muskeln als Aktoren und Sensoren auf der Basis dielektrischer Elastomere
(Development of artificial muscles as actors and sensors on the basis of dielectric elastomers)
Prof. Dr.-Ing. Jörg Franke; Prof. Dr.-Ing. Sigrid Leyendecker
(01.10.2012 - 31.03.2018)

Space time discretization for flexible multibody systems and multisymplectic variational integrators
Prof. Dr.-Ing. Sigrid Leyendecker
(01.10.2011)


Mitarbeit in Forschungsprojekten


GRK 2423 FRASCAL: Skalenübergreifende Bruchvorgänge: Integration von Mechanik, Materialwissenschaften, Mathematik, Chemie und Physik (FRASCAL)
Prof. Dr.-Ing. Paul Steinmann
(01.01.2019 - 30.06.2023)


Publikationen (Download BibTeX)

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Penner, J., & Leyendecker, S. (2019). Biomechanical simulations with dynamic muscle paths on NURBS surfaces. In Proceedings of the GAMM Annual Meeting. Vienna, AT.
Pivovarov, D., Willner, K., Steinmann, P., Brumme, S., Müller, M., Srisupattarawanit, T.,... Leyendecker, S. (2019). Challenges of order reduction techniques for problems involving polymorphic uncertainty. GAMM-Mitteilungen. https://dx.doi.org/10.1002/gamm.201900011
Eisentraudt, M., & Leyendecker, S. (2019). Epistemic uncertainty in optimal control simulation. Mechanical Systems and Signal Processing, 121, 876-889. https://dx.doi.org/10.1016/j.ymssp.2018.12.001
Budday, D., Leyendecker, S., & van den Bedem, H. (2018). Bridging protein rigidity theory and normal modes using kino-geometric analysis. München, DE.
Leyendecker, S. (2018). Ein dynamisches Manikin mit faserbasierter Modellierung der Skelettmuskulatur.
Eisentraudt, M., & Leyendecker, S. (2018). Fuzzy uncertainty in forward dynamics simulation. Mechanical Systems and Signal Processing, 126, 590-608. https://dx.doi.org/10.1016/j.ymssp.2019.02.036
Eisentraudt, M., & Leyendecker, S. (2018). Fuzzy uncertainty in forward dynamics simulation using variational integrators. München, DE.
Leitz, T., & Leyendecker, S. (2018). Galerkin Lie-group variational integrators based on unit quaternion interpolation. Computer Methods in Applied Mechanics and Engineering, 338, 333-361. https://dx.doi.org/10.1016/j.cma.2018.04.022
Björkenstam, S., Carlson, J.S., Linn, J., Leyendecker, S., & Lennartson, B. (2018). Inverse Dynamics for Discrete Geometric Mechanics of Multibody Systems with Application to Direct Optimal Control. Journal of Computational and Nonlinear Dynamics.
Budday, D., Leyendecker, S., & van den Bedem, H. (2018). Kinematic Flexibility Analysis: Hydrogen Bonding Patterns Impart a Spatial Hierarchy of Protein Motion. Journal of Chemical Information and Modeling, 58(10), 2108-2122. https://dx.doi.org/10.1021/acs.jcim.8b00267

Zuletzt aktualisiert 2017-07-07 um 10:15

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