Andreas G. Class

ORCID: 0009-0006-5766-4416
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About
Contact & Profiles
Research Areas
  • Nuclear reactor physics and engineering
  • Nuclear Engineering Thermal-Hydraulics
  • Combustion and flame dynamics
  • Nuclear Materials and Properties
  • Heat transfer and supercritical fluids
  • Probabilistic and Robust Engineering Design
  • Nuclear Physics and Applications
  • Combustion and Detonation Processes
  • Advanced Combustion Engine Technologies
  • Model Reduction and Neural Networks
  • Fluid Dynamics Simulations and Interactions
  • Computational Fluid Dynamics and Aerodynamics
  • Fluid Dynamics and Heat Transfer
  • Fluid Dynamics and Turbulent Flows
  • Cyclone Separators and Fluid Dynamics
  • Hydraulic and Pneumatic Systems
  • Particle Dynamics in Fluid Flows
  • Microfluidic and Bio-sensing Technologies
  • Lattice Boltzmann Simulation Studies
  • Subcritical and Supercritical Water Processes
  • Particle accelerators and beam dynamics
  • Fusion materials and technologies
  • Fire dynamics and safety research
  • Wind and Air Flow Studies
  • Cavitation Phenomena in Pumps

Karlsruhe Institute of Technology
2013-2024

Kerntechnische Entsorgung Karlsruhe (Germany)
2009-2024

FZI Research Center for Information Technology
1998-2011

Delft University of Technology
2010

FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
2008

Energy Technologies Institute
2003

Northwestern University
1993-1995

Viewed on a hydrodynamic scale, flames in experiments are often thin so that they may be described as gasdynamic discontinuities separating the dense cold fresh mixture from light hot burned products. The original model of flame discontinuity was due to Darrieus and Landau. In addition fluid dynamical equations, consists speed relation describing evolution surface, jump conditions across surface which relate variables two sides surface. Darrieus–Landau predicts, contrast observations,...

10.1017/s002211200300507x article EN Journal of Fluid Mechanics 2003-09-02

Nonlinear phenomena can often be well described using probability density functions (pdf) and pdf transport models. Traditionally, the simulation of requires Monte-Carlo codes based on Lagrangian “particles” or prescribed assumptions including binning techniques. Recently, in field combustion, a novel formulation called stochastic-field method solving Eulerian fields has been proposed which eliminates necessity to mix techniques assumptions. In present work, for first time is applied...

10.1063/1.4813813 article EN cc-by Physics of Fluids 2013-07-01

The stability of a steadily propagating planar premixed flame has been the subject numerous studies since Darrieus and Landau showed that in their model flames are unstable to perturbations any wavelength. Moreover, instability was shown persist even for very small wavelengths, i.e. there no high-wavenumber cutoff instability. In addition Darrieus–Landau instability, which results from thermal expansion, analysis diffusional indicates may exhibit cellular pulsating instabilities as...

10.1017/s0022112003005081 article EN Journal of Fluid Mechanics 2003-09-02

The extraction of statistical information from bubbly flow experiments is crucial for numerical studies. Knowledge regarding probability distributions particularly relevant in cases where a model relying solely on the use mean values would lead to inaccurate results. As such, existing studies have focused evaluating spatial and local histograms void fraction, bubble density, size. However, traditional box-counting method, employed by various studies, results inconsistencies when deriving...

10.1063/5.0145551 article EN cc-by Physics of Fluids 2023-05-01

10.1016/j.pnucene.2019.01.017 article EN Progress in Nuclear Energy 2019-02-04
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