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Logo: Institute of Mechanics and Computational Mechanics
Logo Leibniz Universität Hannover
Logo: Institute of Mechanics and Computational Mechanics
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Running Projects

 
Category: 

A micro-mechanically motivated approach for modelling the oxidative aging process of elastomers

 

Supervisor:

Prof. Dr.-Ing. Udo Nackenhorst in collaboration with Dr. Markus Andre

Researcher:

Darcy Beurle

Duration:

2016-2019

 

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A Stochastic Approach on Stress Adaptive Bone Remodeling

Bild zum Projekt A Stochastic Approach on Stress Adaptive Bone Remodeling

Researcher:

Maximilian Bittens, M.Sc.; Prof. Dr.-Ing. Udo Nackenhorst

Brief description:

In this project the uncertainties in stress adaptive bone remodeling are addressed. Accounting for these uncertainties stochastic techniques like Polyomial Chaos Expansion or Stochastic Collocation Methods are used in order to build a stochastic response surface for evaluating the stochastic properties, e.g. sensitivity, of the system.

 

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Computational mechanics in terms of mixed aleatory and epistemic uncertain random fields

Bild zum Projekt Computational mechanics in terms of mixed aleatory and epistemic uncertain random fields

Supervisor:

Prof. Dr.-Ing. Udo Nackenhorst

Researcher:

M. Sc. Mona Madlen Dannert

Funded by:

Priority Programme SPP 1886 of German Research Foundation (DFG), State of Lower Saxony

Brief description:

[Translate to Englisch:] This project investigates probability box (p-box) approach including probabilistic and possibilistic aspects. This way, both kind of uncertainties - aleatory and epistemic - can be considered within a random field.

 

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Computational techniques for the stochastic excitation of rolling tires from rough road surface contact

Bild zum Projekt Computational techniques for the stochastic excitation of rolling tires from rough road surface contact

Researcher:

Robert Lee Gates, M.Sc.; Prof. Dr.-Ing. Udo Nackenhorst

Funded by:

DFG (German Research Foundation)

Brief description:

In this project, we intend to address issues in modeling rolling tires on rough road surfaces by (a) extending previously developed methods by a stochastic excitation function describing the interaction of the macroscopic tire model and the detailed meso-mechanical contact behavior of the tire tread with the road surface; (b) including dynamic stiffening effects in the rubber compound.

 

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Development of a Coupled BCHM-Model for Numerical Investigations of MICP treatment of Soil

 

Researcher:

Dr.-Ing. Xuerui Wang; Prof. Dr.-Ing. Udo Nackenhorst

Duration:

2020-2022

Funded by:

DFG (German Research Foundation)

 

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Stochastic Modeling of Fatigue Processes

 

Supervisor:

Prof. Dr. Ing. Udo Nackenhorst

Researcher:

M. Sc. Wei Ran Zhang, Dr. Ing. Amelie Fau

Duration:

2016-2019

Funded by:

International Research Training Group 1627, DFG (German Research Foundation)

 

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