Unser InstitutTeam
Hendrik Geisler

Hendrik Geisler, M. Sc.

Hendrik Geisler, M. Sc.
Adresse
An der Universität 1
30823 Garbsen
Gebäude
Raum
306
Hendrik Geisler, M. Sc.
Adresse
An der Universität 1
30823 Garbsen
Gebäude
Raum
306
  • Forschungsprojekte

    Time-separated stochastic mechanics

    • TSM for damage processes
      In industrial applications the reliability of components with high cycle load is of interest. In addition to the TSM a damage model needs to be used. The combination of TSM with a damage model enables to predict the evolution of the reaction forces, which are influenced by the stochastic nature of the materials and the damage processes. The advantages of the Time-Separated Stochastic Mechanics remain. The stochastic properties can be computed in advance of any concrete finite element simulation. This results in a low computational effort in comparison to Monte Carlo Simulations and enables to simulate industrially relevant problems with moderate computational resources.
      Leitung: P. Junker, J. Nagel
      Team: H. Geisler
      Jahr: 2021
    • TSM for dynamic processes
      Modeling and simulation of materials with stochastic properties is typically computationally expensive especially for nonlinear materials or dynamic simulations. The Time-separated stochastic mechanics (TSM) can be extended for the dynamic analysis of stochastic visco-elasic materials by incorporation of the transient terms. In transient time-domain simulations a good approximation of the expectation and variance of the reaction force and the stresses for the dynamic response can be observed. A numerical extra cost of 10% compared with one deterministic finite element simulation is reported. However, the Monte Carlo simulation needs a minimum number of 400 finite element computations to arrive at results, that can be considered converged. Therefore, the TSM provides a fast yet accurate procedure for the dynamic simulation of visco-elastic structures witch stochastic properties.
      Leitung: P. Junker, J. Nagel
      Team: H. Geisler
      Jahr: 2022

WERDEGANG

2015 - 2021Studium Maschinenbau an der TU Hamburg
2019 - 2020Studium an der UC Berkeley, USA
2021Master of Science "mit Auszeichnung"
seit 2021 Wissenschaftlicher Mitarbeiter am IKM