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Logo: Institut für Baumechanik und Numerische Mechanik/Leibniz Universität Hannover
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Logo: Institut für Baumechanik und Numerische Mechanik/Leibniz Universität Hannover
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Running Projects

 
Kategorie: 

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

 

Leitung:

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

Bearbeitung:

Darcy Beurle

Laufzeit:

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

Bearbeitung:

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

Kurzbeschreibung:

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 simulation of piezo-electrically stimulated bone adaption surrounding activated tooth implants

Bild zum Projekt Computational simulation of piezo-electrically stimulated bone adaption surrounding activated tooth implants

Bearbeitung:

M. Sc. Seyed Alireza Shirazi Beheshtiha, Prof. Dr.-Ing. Udo Nackenhorst

Förderung durch:

State of Lower Saxony

Kurzbeschreibung:

This study aims for the development of active implants which provide additional electrical stimulation for bone adaption. A computational framework is presented in order to optimize new developments for activating dental implants with piezoelectric coatings.

 

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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

Bearbeitung:

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

Förderung durch:

DFG (German Research Foundation)

Kurzbeschreibung:

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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Concepts for Chemical Degradation of Materials and Structures

Bild zum Projekt Concepts for Chemical Degradation of Materials and Structures

Bearbeitung:

Dipl.-Ing. Milena Möhle, Prof. Dr.-Ing. Udo Nackenhorst

Kurzbeschreibung:

The degradation of materials is of great importance especially when they are expected for a long service time or when it is not easily accessible for maintenance, for example like natural gas pipelines.

 

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Development of a numerically robust material model for rock salt

Bild zum Projekt Development of a numerically robust material model for rock salt

Bearbeitung:

M. Eng. Mathias Grehn, Prof. Dr.-Ing. Udo Nackenhorst

Kurzbeschreibung:

Around 300000 tons of high-level radioactive waste exists on earth and around 12000 tons of high-level radioactive waste will be added every year. Possible solutions for storage of radioactive waste are salt domes as reservoirs for toxic and nuclear waste.

 

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Innovative concepts for physically based modeling approaches of high-cycle fatigue

 

Leitung:

Prof. Dr.-Ing. Udo Nackenhorst in collaboration with Prof. David Neron (LMT, ENS Cachan) and Prof. em. Pierre Ladeveze (LMT ENS Cachan) in the framework of IRTG 1627

Bearbeitung:

Mainak Bhattacharyya, Dr.-Ing. Amelie Fau

Laufzeit:

2014-2017

Förderung durch:

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

Kurzbeschreibung:

The objective of this project is to go beyond S-N curves classically used to represent damage evolution for damage fatigue. Original sophisticated integration schemes are investigated to be able to predict damage evolution for a high number of cycles while considering physically based models.

 

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Model Reduction Techniques for Probabilistic Fatigue Assessment

 

Leitung:

Prof. Dr.-Ing. Udo Nackenhorst in collaboration with Prof. David Neron (LMT, ENS Cachan) and Prof. em. Pierre Ladeveze (LMT ENS Cachan) in the framework of IRTG 1627

Bearbeitung:

Shadi Alameddin, Dr. Ing. Amelie Fau, Mainak Bhattacharyya

Laufzeit:

2016-2019

Förderung durch:

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

Kurzbeschreibung:

This project aims to develop reliable model reduction techniques for the treatment of damage fatigue modeling in the framework of multiple time scales and probabilistic evaluation of service life of materials and structures.

 

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Modeling and numerical simulation for the prediction of the fatigue strength of air springs

Bild zum Projekt Modeling and numerical simulation for the prediction of the fatigue strength of air springs

Bearbeitung:

M. Sc. Niraj Kumar Jha, Prof. Dr.-Ing. Udo Nackenhorst

Förderung durch:

Continental Teves AG

Kurzbeschreibung:

Fatigue failure of cord-reinforced rubber composite has been the subject of extensive studies in automotive industries due to its importance in engineering applications. The classical examples of such composites are found in tires, hoses, and airsprings.

 

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Modeling and Simulation of Rolling Tires with Detailed Tread Pattern

Bild zum Projekt Modeling and Simulation of Rolling Tires with Detailed Tread Pattern

Bearbeitung:

M. Sc. Thirumalalagu Palanichamy, Prof. Dr.-Ing. Udo Nackenhorst

Kurzbeschreibung:

The analysis of tires is of importance in tire industries for determining wear phenomena, endurance and noise effects, etc. The relative kinematics framework based on ALE formulation has its main advantages in implementing the detailed contact analysis with local mesh refinement and time independent formulation of elastic stationary rolling. The weak point of the ALE formulation is that tires with detailed tread pattern cannot be simulated due to its axi symmetric constraint.

 

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Reduced-order models for structural dynamic Finite Element systems

Bild zum Projekt Reduced-order models for structural dynamic Finite Element systems

Bearbeitung:

Stefanie Tegtmeyer, Prof. Dr.-Ing. Udo Nackenhorst

Förderung durch:

State of Lower Saxony

Kurzbeschreibung:

Computational models from different engineering fields tend to get more and more detailed and complex thanks to the development of more and more powerful computers. Nowadays, solving these large systems of equations is not impossible, but requires a lot of time and computational resources.

 

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Stochastic Modeling of Fatigue Processes

 

Leitung:

Prof. Dr. Ing. Udo Nackenhorst

Bearbeitung:

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

Laufzeit:

2016-2019

Förderung durch:

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

 

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