Multi-obstacle muscle wrapping based on a discrete variational principle

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Penner J, Leyendecker S
Publication year: 2018
Language: English


Abstract

Simulations of biomechanical multibody systems actuated by Hill-type muscles are established as a major tool for investigating human motion. In addition to the activation level, typically, muscle actuated systems require to compute muscle paths, their length and their rates of length change to determine the muscle force. In particular, the muscle force direction is influenced by the muscle path. Assuming that the muscles are always under tension, their path is often modelled as a locally length minimizing curve that wraps over moving obstacles representing anatomical structure of the human body.

This work is based on a mechanical analogue to find the shortest path on general smooth surfaces, using a discrete variational principle. In this context, the geodesic path is reinterpreted as the force-free motion of a particle in n dimensions under holonomic constraints. The muscle path is then a G1-continuous combination of geodesics on adjacent obstacle surfaces. It can be described as a shortest path boundary value problem with G1-continuous transitions across a certain number of obstacles. 

This contribution focuses on the technical details of the proposed method for multiple obstacles, while specific biomechanical applications will be presented in the future. In the given form, the formulation avoids nested loops and is well suitable to be used in an optimal control framework based on the direct transcription method DMOCC (Discrete mechanics and optimal control for constrained systems). Examples show the application of the given wrapping method to a certain number of general smooth surfaces. 


FAU Authors / FAU Editors

Leyendecker, Sigrid Prof. Dr.-Ing.
Chair of Applied Dynamics
Penner, Johann
Chair of Applied Dynamics


Research Fields

biomechanics
Chair of Applied Dynamics
structure preserving simulation and optimal control
Chair of Applied Dynamics
Modellierung/Simulation/Optimierung
Research focus area of a faculty: Technische Fakultät


How to cite

APA:
Penner, J., & Leyendecker, S. (2018). Multi-obstacle muscle wrapping based on a discrete variational principle. In Proceedings of the The 20th European Conference on Mathematics for Industry. Budapest, HU.

MLA:
Penner, Johann, and Sigrid Leyendecker. "Multi-obstacle muscle wrapping based on a discrete variational principle." Proceedings of the The 20th European Conference on Mathematics for Industry, Budapest 2018.

BibTeX: 

Last updated on 2019-08-07 at 14:20