M.Sc. Martin Gehrke
Hamburg University of Technology (TUHH)
Institute for Fluid Dynamics and Ship Theory (M8)
Am Schwarzenberg-Campus 4 (C)
D-21073 Hamburg
Room C5.014
Phone: +49 40 42878 6058
E-mail: martin.gehrke(at)tuhh(dot)de
ORCID: https://orcid.org/0000-0002-5073-397X
Bio-Sketch
2015 - present
Research Assistant / Doctoral Researcher, Hamburg University of Technology (TUHH), Germany
2015
M.Sc., Naval Architecture and Ocean Engineering, TUHH
2012
B.Sc., Naval Architecture, TUHH
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Schooling in Heide (Holstein), Germany
Major Areas of Interest & Expertise
Research activities:
- Computational Fluid Dynamics
- Numerical Simulation with the Lattice Boltzmann Method (LBM) using the elbe Solver
- High Performance Computing on GPGPUs with the Nvidia CUDA toolkit
- Arctic Engineering
- Turbulent Flows
Teaching responsibilities:
- Fluid Mechanics (Exercise, Bachelor Course) - Summer Term 2019, 2020 & Winter Term 2019/2020
- High Performance Computing (Exercise, Master Course) - Summer Term 2015, 2016, 2017
- Innovative Computational Fluid Dynamic Approaches (Exercise Support, Master Course) - Summer Term 2015, 2016, 2017
Supervision of Student Thesis - Bachelor, Project and Master Level (consecutive)
Publications
2022
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Periodic hill flow simulations with a parameterized cumulant lattice Boltzmann method
International Journal for Numerical Methods in Fluids 94 (8): 1111-1154 (2022)
Open Access | Publisher DOI -
Scale-resolving turbulent channel flow simulations using a dynamic cumulant lattice Boltzmann method
Physics of Fluids 34 (7): 075129 (2022-07)
Open Access | Publisher DOI -
Scrutinizing dynamic cumulant lattice Boltzmann large eddy simulations for turbulent channel flows
Computation 10 (10): 171 (2022)
Open Access | Publisher DOI
2020
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Performance of Under-Resolved, Model-Free LBM Simulations in Turbulent Shear Flows
Notes on Numerical Fluid Mechanics and Multidisciplinary Design (143): 3-18 (2020)
Publisher DOI -
Numerical simulation of nonlinear interactions in a naturally transitional flat plate boundary layer
Computers and Fluids (203): 104502 (2020-05-15)
Publisher DOI
2019
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Validation of a GPU-accelerated LBM based numerical ice tank for a Voith Schneider propulsion system
Open Access -
CUDA-accelerated computational fluid dynamics (NVIDIA Webinar)
Zenodo: (2019)
Open Access | Publisher DOI