Sie sind hier:


Dr.-Ing Patrick Kurzeja

Dr.-Ing Patrick Kurzeja Foto von Dr.-Ing Patrick Kurzeja

+49 231 755-5714

+49 231 755-2688


Institute of Mechanics

Department of Mechanical Engineering

TU Dortmund

Leonhard-Euler-Straße 5

D-44227 Dortmund

Raum 143

Weitere Kontaktdaten

ORCID iD iconorcid.org/0000-0002-2469-6394


Curriculum Vitae

Since 04/2017 Senior Researcher, Institute of Mechanics, Technical University Dortmund, Germany
03/2016 - 03/2017 Postdoctoral Researcher, Computational and Statistical Physics, University of Duisburg-Essen, Germany
03/2015 - 02/2016 Postdoctoral Researcher, John A. Paulson School of Engineering and Applied Sciences, Harvard University, USA
01/2014 - 02/2015 Postdoctoral Researcher, Continuum Mechanics, Ruhr-University, Germany
06/2011 - 07/2011 Research Exchange, Civil & Environmental Engineering, Princeton University, USA
03/2010 - 12/2013 Research Assistant, Continuum Mechanics, Ruhr-University, Germany
Mechanical Engineering, Ruhr-University, Germany
10/2008 - 08/2014 B. Sc. Mathematics, Ruhr-University Bochum, Germany
10/2005 - 02/2010 Dipl.-Ing. Mechanical Engineering, Ruhr-University Bochum, Germany


Courses at TU Dortmund

  • Nonlinear Continuum Mechanics (SS 2017)
  • Technische Mechanik (WS 2017/18)

Supervision of project, bachelor and master theses

We offer plenty of topics for student's theses. Interested students may contact me via email or phone. Please note, that the attendance of advanced courses at our institute is advantageous and almost necessary for a successful execution.

An overview of the proposed topics can be found here.



  • Modelling of systems with multiple scales and multiple constituents
  • Instabilities and their influence on dynamics
  • Mathematical methods (variational formulations, stochastic multiscale modelling)
  • Numerics: Finite Elements (Abaqus, Comsol), Multi Particle Collision Dynamics
  • Experiments: 3D printing and polymer casting, vibration and sound measurements, high-speed camera measurements

No matter the topic, discussions about known challenges as well as new ideas are always welcome.

Instabilities in structures


Instabilities in solid structures have been successfully utilized to control acoustic band gaps and harness bistable states. When filled with a pore fluid, damping and mechanical signals can be further tuned by a controllable displacement of viscous fluid cavities and delayed pressure propagation.

Material modelling of suspensions


The rheology of suspensions is highly influenced by particle formations. The interaction between particles and the fluid remains an interesting topic for fundamental research and process engineering (agglomerations, vortices, tumbling,...). Recently, we focus on the microstructural dynamics of dilute suspensions to evaluate the composition and decomposition of stable and instable particle formations.

Waves in partially saturated media


Waves in partially saturated media can cover a range from seismic (earthquakes) to ultrasound frequencies (medical devices). For reliable predictions in high-risk and nondestructive applications (seismic exploration, sound signals in biological tissues) we focus on reliable models covering the relevant mechanisms such as frequency-dependent fluid-flow and capillary pressure.

Oscillating flow

  • Oscillating fluid clusters


Conglomerations of fluid appear at very low saturation states, for instance, if residual oil is trapped in groundwater reservoirs. Oscillatory stimulation supporting groundwater remediation combines several physical phenomena of one solid and two fluid phases: surface tension, contact angles, viscous flow profiles and wetting of solids.

  • Oscillating flow in deformable tubes


Deformable tubes can represent our blood vessels or boreholes in rocks. Upon linear stimulation, they can respond in the form of various signals such as shear at the fluid boundaries or radially pulsating walls. The stimulation of specific wave modes is still not understood in complex frameworks even though many theoretical and numerical works approached this problem for decades.



Theoretical concepts bridging the scales of physical systems and analogies between physical and mathematical models are always a welcome topic.

Applications of numerical techniques include Finite Element Methods (e.g., Comsol-Matlab or Abaqus-Python coding) and Multiplarticle Collision Dynamics.

Former experimental setups, developed with collaborators, cover: measurement of dynamic fluid clusters with a Phantom high speed camera and wave speeds in polymer frameworks.