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Transforming Combustion Research through Cyberinfrastructure (2011) / Chapter Skim
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Appendix C: Direct Numerical Simulations
Pages 86-87

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From page 86...
... Furthermore, it will be possible to assess the degree to which these variables can be predicted from the resolved or mean flow -- for example, using presumed forms of the probability density function. For flamelet and transported probability density function models, Lagrangian tracking of fluid particles and flame elements in situ can be used to identify and understand the influence of unsteadiness, differential diffusion of species, and temperature on limit phenomena, including extinction and ignition phenomena.
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From page 87...
... The advent of exascale computing and beyond in the future will enable an even wider range of turbulence scales and the representation of more complex fuels at thermochemical conditions relevant to practical combustion systems, and the data volume and complexity will continue to increase. However, such large and complex time-varying data sets -- typically several hundred terabytes of raw data per simulation on today's 1 petaflop machines -- pose serious challenges to gleaning physical insight from them and to sharing the data with the broader modeling community.
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Key Terms

  • numerical simulations
  • probability density
  • mixing rates
  • scalar mixing
  • flame experiments

  • turbulence model
  • flame speed
  • limit phenomena
  • function models
  • reactive scalar

  • key issue
  • key turbulence
  • flame elements
  • fluid particles
  • turbulent premixed

  • petaflop machine
  • typically assume
  • data volume
  • complete picture
  • thermochemical conditions

  • density function
  • practical combustion
  • numerical simulation
  • turbulence parameters
  • moderate reynolds

  • including extinction
  • huge volume
  • passive scalar
  • simulation data
  • presumed forms


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