Dynamic analysis of prosthetic structures with polymorphic uncertainty

Third Party Funds Group - Sub project

Overall project details

Overall project: SPP 1886: Polymorphic uncertainty modelling for the numerical design of structures

Project Details

Project leader:
Prof. Dr.-Ing. Sigrid Leyendecker

Project members:
Markus Eisentraudt
Verena Hahn
Eduard Sebastian Scheiterer

Contributing FAU Organisations:
Chair of Applied Dynamics

Funding source: DFG / Schwerpunktprogramm (SPP)
Start date: 01/01/2016
End date: 31/12/2019

Research Fields

Chair of Applied Dynamics
structure preserving simulation and optimal control
Chair of Applied Dynamics
multibody dynamics and robotics
Chair of Applied Dynamics

Abstract (technical / expert description):

People with joint disorders or lower limb loss require a technical substitute that restores biomechanical function and body integrity. Prothetic structures not only need to fulfil their respective functional requirements (allowing a save and wide range of motion at low energy expenditure and without impairing the person's body) but also the appearance of the resulting motion (including aesthetic properties like natural and symmetric gait patterns) is of high relevance. Since measurement of in vivo joint motion and loading, particularly dynamic loading, is complicated, predictive simulation plays a major role. However, polymorphic sources of uncertainty are present resulting from the prostheses itself, the way a patient moves or the environment. The main goal of this project is the design and development of a simulation framework focusing on the motion of the human lower extremity with different types of hip and knee prostheses in the presence of data as well as model uncertainty of aleatoric and epistemic character and to assess the uncertain results. The project integrates modeling of the structures (human lower extremities and prostheses) and uncertainties (), the mathematical formulation of the motion (as dynamical system or optimal control problem) as well as the computational methods (based on structure preserving integration) to solve the resulting differential algebraic equations. The thematic and organisational placement within the DFG priority programme `Polymorphe Unschärfemodellierung für den numerischen Entwurf von Strukturen' (SPP 1886) is revealed in the `objectives and work programme'.


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
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. In Proceedings of the GAMM Annual Meeting. München, DE.
Eisentraudt, M., & Leyendecker, S. (2018). Fuzzy uncertainty in forward dynamics simulation using variational integrators. In PAMM. München, DE: Wiley Online Library.

Last updated on 2019-29-08 at 14:37