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)

(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)


Publikationen (Download BibTeX)

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Penner, J., & Leyendecker, S. (2019). Biomechanical simulations with dynamic muscle paths on NURBS surfaces. Vienna, AT.
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
Penner, J., & Leyendecker, S. (2018). Multi-obstacle muscle wrapping based on a discrete variational principle. Budapest, HU.

Zuletzt aktualisiert 2017-07-07 um 10:15