Multibody Systems

The focus group “Multibody Systems” consists of Hans Fischer Senior Fellow Prof. Michel Géradin (Emeritus Professor, University of Liège, Belgium), Hans Fischer Fellow Dr. Karin Nachbagauer (University of Applied Sciences Upper Austria),  their host Prof. Daniel Rixen (TUM Department of Mechanical Engineering) and Dr. techn. Andreas Zwölfer (TUM Department of Mechanical Engineering). The activities of this focus group are primarily centered around the interplay between modeling, simulation and optimization of nonlinear dynamic systems, with special focus on flexible multibody systems. On the one hand, new formulations considering floating frame of reference formulations for the modeling of rigid and flexible multibody systems have been presented and will be further developed. On the other hand, new approaches for the intelligent optimal control of multibody systems for future digital twin technologies are investigated within the focus group. Efficient numerical methods for design and simulation of multibody systems as e.g. robots, represent an important challenge in the engineering dynamics community and are at the center of our scientific collaboration in the focus group.

 

TUM-IAS funded doctoral candidate:

Daniel Lichtenecker, Chair of Applied Mechanics, TUM Department of Mechanical Engineering

TUM-IAS funded postdoctoral researcher:

Dr. Valentin Sonneville, Chair of Applied Mechanics  

Selected Publications by the Focus Group

2021

  • Eichmeir, Philipp; Nachbagauer, Karin; Lauß, Thomas; Sherif, Karim; Steiner, Wolfgang: Time-Optimal Control of Dynamic Systems Regarding Final Constraints. Journal of Computational and Nonlinear Dynamics 16 (3), 2021 mehr…
  • Géradin, Michel; Rixen, Daniel J.: A fresh look at the dynamics of a flexible body application to substructuring for flexible multibody dynamics. International Journal for Numerical Methods in Engineering 122 (14), 2021, 3525-3582 mehr…

2020

  • Eichmeir, Philipp; Lauß, Thomas; Oberpeilsteiner, Stefan; Nachbagauer, Karin; Steiner, Wolfgang: The Adjoint Method for Time-Optimal Control Problems. Journal of Computational and Nonlinear Dynamics 16 (2), 2020 mehr…