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Phone:: (023) 8059 3384
Email:: R.Deiterding@soton.ac.uk

Dr Ralf Deiterding Dipl.-Math, Dr.rer., nat

Associate Professor in Fluid Dynamics

Related links: Personal homepage

Dr Ralf Deiterding is a Associate Professor in Fluid Dynamics within Engineering and Physical Sciences at the University of Southampton.

My primary interest is the development of innovative, but reliable, solution algorithms for computational fluid dynamics. I am particularly interested in massively parallel Cartesian automatically adapted methods for hypersonic and weakly compressible flows with fluid-structure interaction and/or multi-physics coupling.

July 2015 - present: Associate Professor, University of Southampton
July 2013 - June 2015: Group Leader "Computational Fluid Dynamics", G Institute of Aerodynamics and Flow Technology, German Aerospace Centre (DLR), Göttingen
June 2010 - present: Adjunct Associate Professor in Mathematics and Energy Science and Engineering, University of Tennessee, Knoxville, USA
Sept 2008 - June 2013: Research & Development Staff (Computational Scientist), Computer Science and Mathematics Division, Oak Ridge National Laboratory, USA
Sept 2006 - August 2008: Houserholder Fellowship in Scientific Computing, Oak Ridge National Laboratory, USA
July 2003 - August 2006: Postdoctoral scholar, DOE ASCI Centre for Stimulating the Dynamic Response of Materials at the California Institute of Technology, USA
Feb 1998 - June 2003: PhD in Computational Fluid Dynamics, Department of Mathematics, Technical University Cottbus, Germany
Oct 1992 - Jan 1998: MSc in Computational Engineering, Department of Mathematics, Technical University Clausthal, Germany

Research

Responsibilities

Publications

Teaching

Study Abroad

Contact

Research interests

Research interests

Computational fluid dynamics
Wind turbine and vehicle dynamics
Fluid-structure interactions
Supersonic combustion/detonation modelling
Adaptive mesh refinement
High-performance computing

PhD students

Chay Atkins

Christos Gkoudesnes

Han Peng

Juan Antonio Reyes Barraza

Postdocs:

Dr Mikaël P. Grondeau

Dr. Pushpender Sharma

Dr. Raynold Tan

MPhil/PhD research

PhD thesis: Parallel adaptive simulation of multi-dimensional detonation structures, funded by German Science Foundation (DFG)

MSc thesis: Numerical coupling of the 3D flow-code FIRE to the 1D hydraulic-code AMESIM for the design of diesel-injection systems, funded by Robert Bosch GmbH, Stuttgart

Research projects

Transpiration Cooling Systems for Jet Engine Turbines and Hypersonic Flight

Research group

Aerodynamics and Flight Mechanics

Research project(s)

Generalised lattice Boltzmann method

High Fidelity Simulation of Atmospheric Dispersion

The research focuses on high-fidelity dispersion modelling within atmospheric flows in cases such as urban environments. The project is in partnership with Dstl.

Aerodynamics and Aeroacoustics LBM Modelling of Turbulent Flow over and past Permeable Rough Surfaces

Miniature rotating detonation engine

Magneto-hydrodynamic solvers in AMROC for space-weather forecasting

The overarching objective of this multidisciplinary project was the development of a three-dimensional parallel dynamically adaptive numerical method that permits fast and reliable space weather magneto-hydrodynamic simulations.

Automated Mesh Generation for Hypersonic Flow Simulations of Ablated Bodies

Vehicles travelling at hypersonic speeds experience significant heat transfer from the surrounding flow. This can require the use of thermal protection systems that ablate at high temperatures to reduce the heating experienced by the vehicle. Ablation leads to shape change, which can cause bottlenecks in computational simulations as a new computational mesh is required. This project is investigating the use of strand/Cartesian AMR meshing procedures to automatically create high-quality grids around ablating bodies.

Studies of compressible flow over rough surfaces using Direct Numerical Simulation

Simulation of the supersonic combustion in rotating detonation engines

The RDE, which employs pressure-gain combustion, is able to operate with limited or no mechanical compression. The detonation wave rapidly propagates in the combustor resulting in a nearly constant-volume combustion process that produces high-pressure burnt products and provides the thrust. In order to reduce the computational cost, a 3-D annulus RDE can be unwrapped into a 2-D plane. The 2-D Navier-Stokes equations with detailed chemical kinetics are solved based on a Cartesian mesh in AMROC -Clawpack. A second-order accurate MUSCL-Hancock scheme with Minmod limiter is used for the reconstruction. A hybrid Roe-HLL Riemann solver is utilized to evaluate the inviscid fluxes. For multi-dimensional problems, the hybrid Roe-HLL solver is combined with the wave propagation method. The premixed hydrogen/air RDE and ethylene/oxygen RDE are tested with continuous and discrete injection, respectively.

Simulation of the unsteady shock-induced combustion on a mapped mesh

Transpiration Cooling in Hypersonic Flows

This project is part of the EPSRC program grant Transpiration Cooling Systems for Jet Engine Turbines and Hypersonic Flight (EP/P000878/1).

Academic Exchange Co-ordinator for Aerospace Engineering

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Articles

Book Chapters

Conferences

Reports

Deiterding, R., Domingues, M. O., & Schneider, K. (Eds.) (2021). Cartesian CFD methods for complex applications. ( ICIAM 2019 SEMA SIMAI Springer Series). Springer. https://doi.org/10.1007/978-3-030-61761-5
Cerminara, A., Deiterding, R., & Sandham, N. (2019). Direct numerical simulations of coolant injection through a porous layer for transpiration cooling in hypersonic flow. University of Southampton.
Cerminara, A., Deiterding, R., & Sandham, N. (2017). Direct numerical simulations of three-dimensional hypersonic flow over a flat plate with periodic holes. (Technical report). University of Southampton.

Theses

Deiterding, R. (2003). Parallel adaptive simulation of multi-dimensional detonation structures.
Deiterding, R. (1998). Numerische kopplung eines 3D-strömungssimulators an einen 1D-hydrauliksimulator zur auslegung von motorischen einspritzsystemen.

SESA6074 Hypersonics and High Temperature Gas Dynamics, module lead
SESA3029 Aerothermodynamics, lecturer

Dr Ralf Deiterding
Southampton Boldrewood Innovation Campus
University of Southampton
Building 176
Burgess Road
Southampton
SO16 7QF

Room Number: 176/5059

Dr Ralf Deiterding's personal home page

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