The University of Southampton

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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

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

Open positions

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

Postdocs:

Adriano Cerminara

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

Lattice Boltzmann methods for CFD

Transpiration Cooling Systems for Jet Engine Turbines and Hypersonic Flight

Research group

Aerodynamics and Flight Mechanics

Academic Exchange Co-ordinator for Aerospace Engineering

Articles

Cai, X., Deiterding, R., Liang, J., & Mahmoudi, Y. (2017). Adaptive simulations of viscous detonations initiated by a hot jet using a high-order hybrid WENO–CD scheme. Proceedings of the Combustion Institute, 36(2), 2725-2733. DOI: 10.1016/j.proci.2016.06.161

Zhang, Q., Chen, X., He, L-M., Rong, K., & Deiterding, R. (2017). Investigation of shock focusing in a cavity with incident shock diffracted by an obstacle. Shock Waves, 27(2), 169–177. DOI: 10.1007/s00193-016-0653-0

Wan, Q., Jeon, H., Deiterding, R., & Eliasson, V. (2017). Numerical and experimental investigation of oblique shock wave reflection off a water wedge. Journal of Fluid Mechanics.

Feldhusen, K., Deiterding, R., & Wagner, C. (2016). A dynamically adaptive lattice Boltzmann method for thermal convection problems. International Journal of Applied Mathematics and Computer Science, 26(4), 735-747. DOI: 10.1515/amcs-2016-0051

Cai, X., Liang, J., Deiterding, R., Che, Y., & Lin, Z. (2016). Adaptive mesh refinement based simulations of three-dimensional detonation combustion in supersonic combustible mixtures with a detailed reaction model. International Journal of Hydrogen Energy, 41(4), 3222-3239. DOI: 10.1016/j.ijhydene.2015.11.093

Cai, X., Liang, J., Deiterding, R., & Lin, Z. (2016). Adaptive simulations of cavity-based detonation in supersonic hydrogen–oxygen mixture. International Journal of Hydrogen Energy, 41(16), 6917-6928. DOI: 10.1016/j.ijhydene.2016.02.144

Deiterding, R., Domingues, M. O., Gomes, S. M., & Schneider, K. (2016). Comparison of adaptive multiresolution and adaptive mesh refinement applied to simulations of the compressible Euler equations. SIAM Journal on Scientific Computing, 38(5), S173-S193. DOI: 10.1137/15M1026043

Fragner, M. M., & Deiterding, R. (2016). Investigating cross-wind stability of high speed trains with large-scale parallel CFD. International Journal of Computational Fluid Dynamics, 30(6), 402-407. DOI: 10.1080/10618562.2016.1205188

Cai, X., Liang, J., & Deiterding, R. (2016). Numerical investigation on detonation control using a pulse hot jet in supersonic combustible mixture. Combustion Science and Technology, 188(10), 1674-1690. DOI: 10.1080/00102202.2016.1193499

Cai, X., Liang, J., Deiterding, R., & Lin, Z. (2016). Numerical simulation of detonation initiation and propagation in supersonic combustible mixtures with non-uniform species. AIAA Journal, 54(8), 2449-2462. DOI: 10.2514/1.J054653

Deiterding, R., & Wood, S. L. (2016). Predictive wind turbine simulation with an adaptive lattice Boltzmann method for moving boundaries. Journal of Physics: Conference Series, 753(82005), 1-11. DOI: 10.1088/1742-6596/753/8/082005

Gomes, A. K. F., Domingues, M. O., Schneider, K., Mendes, O., & Deiterding, R. (2015). An adaptive multiresolution method for ideal magnetohydrodynamics using divergence cleaning with parabolic-hyperbolic correction. Applied Numerical Mathematics, 95, 199-213. DOI: 10.1016/j.apnum.2015.01.007

Fragner, M. M., Weinman, K. A., Deiterding, R., Fey, U., & Wagner, C. (2015). Comparison of industrial and scientific CFD approaches for predicting cross wind stability of the NGT2 model train geometry. The International Journal of Railway Technology, 4(1), 1-28. DOI: 10.4203/ijrt.4.1.1

Cai, X., Liang, J., Lin, Z., Deiterding, R., & Zhuang, F. (2015). Detonation initiation and propagation in nonuniform supersonic combustible mixtures. Combustion Science and Technology, 187(4), 525-536. DOI: 10.1080/00102202.2014.958223

Cai, X., Liang, J., Lin, Z., & Deiterding, R. (2014). Effects of hot jet on detonation initiation and propagation in supersonic combustible mixtures. Acta Astronautica, 105(1), 265-277. DOI: 10.1016/j.actaastro.2014.08.019

Mahmoudi, Y., Karimi, N., Deiterding, R., & Emami, S. (2014). Hydrodynamic instabilities in gaseous detonations: a comparison of Euler, Navier-Stokes and large eddy simulation. Journal of Propulsion and Power, 30(2), 384-396. DOI: 10.2514/1.B34986

Cai, X., Liang, J., Lin, Z., & Deiterding, R. (2014). Parametric study of detonation initiation using a hot jet in supersonic combustible mixtures. Aerospace Science and Technology, 39, 442-455. DOI: 10.1016/j.ast.2014.05.008

Deiterding, R., Glowinski, R., Oliver, H., & Poole, S. (2013). A reliable split-step Fourier method for the propagation equation of ultra-fast pulses in single-mode optical fibers. IEEE Journal of Lightwave Technology, 31, 2008-2017. DOI: 10.1109/JLT.2013.2262654

Cai, X., Liang, J., Lin, Z., Deiterding, R., Qin, H., & Han, X. (2013). Adaptive mesh refinement based numerical simulation of detonation initiation in supersonic combustible mixtures using a hot jet. Journal of Aerospace Engineering, 28(1), 1-11. DOI: 10.1061/(ASCE)AS.1943-5525.0000376

Perotti, L. E., Deiterding, R., Inaba, K., Shepherd, J. E., & Ortiz, M. (2013). Elastic response of water-filled fiber composite tubes under shock wave loading. International Journal of Solids and Structures, 50(3-4), 473-486. DOI: 10.1016/j.ijsolstr.2012.10.015

Barton, P. T., Deiterding, R., Meiron, D. I., & Pullin, D. I. (2013). Eulerian continuum model and adaptive finite-difference method for high-velocity impact and penetration problems. Journal of Computational Physics, 240, 76-99. DOI: 10.1016/j.jcp.2013.01.013

Deiterding, R., & Wood, S. L. (2013). Parallel adaptive fluid-structure interaction simulations of explosions impacting on building structures. Computers & Fluids, 88, 719-729. DOI: 10.1016/j.compfluid.2013.05.009

Laurence, S. J., Parziale, N. J., & Deiterding, R. (2012). Dynamical separation of spherical bodies in supersonic flow. Journal of Fluid Mechanics, 713, 159-182. DOI: 10.1017/jfm.2012.453

Ziegler, J. L., Deiterding, R., Shepherd, J. E., & Pullin, D. I. (2011). An adaptive high-order hybrid scheme for compressive, viscous flows with detailed chemistry. Journal of Computational Physics, 230(20), 7598-7630. DOI: 10.1016/j.jcp.2011.06.016

Deiterding, R. (2011). Block-structured adaptive mesh refinement - theory, implementation and application. ESAIM Proceedings, 34, 97-150. DOI: 10.1051/proc/201134002

Deiterding, R. (2011). High-resolution numerical simulation and analysis of Mach reflection structures in detonation waves in low-pressure H2:O2:Ar mixtures: a summary of results obtained with adaptive mesh refinement framework AMROC. Journal of Combustion, 2011(738969), 1-18. DOI: 10.1155/2011/738969

Bochove, E. J., Aceves, A. B., Braiman, Y. Y., Colet, P. R., Deiterding, R., Jacobo, A., ... Shakir, S. A. (2011). Model of the self-Q-switching instability of passively phased fiber laser arrays. IEEE Journal of Quantum Electronics, 47(6), 777-785. DOI: 10.1109/JQE.2011.2112637

Laurence, S. J., & Deiterding, R. (2011). Shock-wave surfing. Journal of Fluid Mechanics, 676, 369-431. DOI: 10.1017/S0022112011000577

Lombardini, M., & Deiterding, R. (2010). Large-eddy simulation of Richtmyer-Meshkov instability in a converging geometry. Physics of Fluids, 22(9), 1. DOI: 10.1063/1.3491373

Deiterding, R. (2009). A parallel adaptive method for simulating shock-induced combustion with detailed chemical kinetics in complex domains. Computers & Structures, 87(11-12), 769-783. DOI: 10.1016/j.compstruc.2008.11.007

Pantano, C., Deiterding, R., Hill, D. J., & Pullin, D. I. (2007). A low-numerical dissipation patch-based adaptive mesh refinement method for large-eddy simulation of compressible flows. Journal of Computational Physics, 221(1), 63-87. DOI: 10.1016/j.jcp.2006.06.011

Deiterding, R., Cirak, F., Mauch, S. P., & Meiron, D. I. (2007). A virtual test facility for simulating detonation- and shock-induced deformation and fracture of thin flexible shells. International Journal for Multiscale Computational Engineering, 5(1), 47-63. DOI: 10.1615/IntJMultCompEng.v5.i1.60

Browne, S., Liang, Z., Deiterding, R., & Shepherd, J. E. (2007). Detonation front structure and the competition for radicals. Proceedings of the Combustion Institute, 31(2), 2445-2453. DOI: 10.1016/j.proci.2006.07.244

Cirak, F., Deiterding, R., & Mauch, S. P. (2007). Large-scale fluid-structure interaction simulation of viscoplastic and fracturing thin shells subjected to shocks and detonations. Computers & Structures, 85(11-14), 1049-1065. DOI: 10.1016/j.compstruc.2006.11.014

Laurence, S. J., Deiterding, R., & Hornung, H. G. (2007). Proximal bodies in hypersonic flows. Journal of Fluid Mechanics, 590, 209-237. DOI: 10.1017/S0022112007007987

Deiterding, R., Radovitzky, R., Mauch, S. P., Noels, L., Cummings, J. C., & Meiron, D. I. (2006). A virtual test facility for the efficient simulation of solid materials under high energy shock-wave loading. Engineering With Computers, 22(3), 325-347. DOI: 10.1007/s00366-006-0043-9

Book Chapters

Deiterding, R., & Poole, S. (2017). Robust split-step Fourier methods for simulating the propagation of ultra-short pulses in single- and two-mode optical communication fibers. In R. Glowinski, S. Osher, & W. Yin (Eds.), Splitting Methods in Communication and Imaging, Science and Engineering. (pp. 603-625). (Scientific Computation). Swiss Confederation, CH: Springer. DOI: 10.1007/978-3-319-41589-5_18

Fragner, M. M., & Deiterding, R. (2016). Investigating side-wind stability of high speed trains using high resolution large eddy simulations and hybrid models. In T. Tuovinen, P. Diez, P. Neittaanmäki, J. Periaux, & O. Bräysy (Eds.), Computational Methods in Applied Sciences. (Vol. 45, pp. 223-241). Berlin, DE: Springer. DOI: 10.1007/978-3-319-54490-8_14

Kin, N., Deiterding, R., & Wagner, C. (2016). Large eddy simulations of side flow past a generic model of a high-speed train. In A. Dillmann (Ed.), New Results in Numerical and Experimental Fluid Mechanics X. (pp. 421-431). (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; No. 132). Berlin, DE: Springer. DOI: 10.1007/978-3-319-27279-5_37

Conferences

Deiterding, R., & Domingues, M. O. (2017). Evaluation of multiresolution mesh adaptation criteria in the AMROC framework. In P. Ivanyi, B. H. V. Topping, & G. Varady (Eds.), Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. [45] Civil-Comp. DOI: 10.4203/ccp.111.45

Laloglu, C., & Deiterding, R. (2017). Simulation of the flow around an oscillating cylinder with adaptive lattice Boltzmann methods. In P. Ivanyi, B. H. V. Topping, & G. Varady (Eds.), Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. [19] Civil-Comp. DOI: 10.4203/ccp.111.19

Deiterding, R., & Wood, S. L. (2016). An adaptive lattice Boltzmann method for predicting wake fields behind wind turbines. In A. Dillmann, G. Heller, E. Kramer, C. Wagner, & C. Breitsamter (Eds.), New Results in Numerical and Experimental Fluid Mechanics X. (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; No. 132). Cham, CH: Springer. DOI: 10.1007/978-3-319-27279-5_74

Deiterding, R., Feldhusen, K., & Wagner, C. (2016). Validation of a dynamically adaptive lattice Boltzmann method for 2D thermal convection simulations. 199-206. Paper presented at 2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), Malta.DOI: 10.1109/MCSI.2015.60

Wood, S. L., & Deiterding, R. (2015). A dynamically adaptive lattice Boltzmann method for flapping wing aerodynamics. 1082-1088. ASME-JSME-KSME Joint Fluids Engineering Conference, Korea, Republic of.

Deiterding, R., & Wood, S. L. (2015). A dynamically adaptive lattice Boltzmann method for predicting wake phenomena in fully coupled wind engineering problems. 489-500. Paper presented at Proceedings of the 6th International Conference on Computational Methods for Coupled Problems in Science and Engineering. Couple Problems 2015, Italy.

Wood, S. L., & Deiterding, R. (2015). A lattice Boltzmann method for horizontal axis wind turbine simulation. Paper presented at 14th International Conference on Wind Engineering, Brazil.

Ihme, M., Sun, Y., & Deiterding, R. (2015). Detailed simulations of weak-to-strong ignition of a H2/O2/Ar mixture in shock-tubes. 209-214. Paper presented at 29th International Symposium on Shock Waves, .DOI: 10.1007/978-3-319-16835-7_31

Cai, X., Liang, J., Deiterding, R., & Lin, Z. (2015). Numerical simulation on detonation initiation and propagation in supersonic combustible mixtures with nonuniform species. Paper presented at 20th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, United Kingdom.DOI: 10.2514/6.2015-3527

Cai, X., Liang, J., Che, Y., Deiterding, R., Lin, Z., & Zhuang, F. (2014). Three-dimensional simulation of detonation initiation and propagation in supersonic combustible mixtures. Paper presented at Eighth International Conference on Computational Fluid Dynamics (ICCFD8), China.

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

PhD project: Massively parallel adaptive lattice Boltzmann simulation for wind turbine applications. https://jobs.soton.ac.uk/Vacancy.aspx?id=15316&forced=1

Dr Ralf Deiterding
Engineering and the Environment University of Southampton Highfield Southampton SO17 1BJ

Room Number:13/5089

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

Dr Ralf Deiterding's personal home page

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