Difference between revisions of "The FLAMEX Solver"

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* See also some comparisons between FLAMEX and DNS (HALLEGRO) results  [http://www.coria-cfd.fr/index.php/H-Allegro#Direct_simulation_of_propagating_flames:_3D_expanding_front_.28Eric_Albin_.26_Yves_D.27Angelo.29]
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|+ Sample results for 3D expanding fronts with variable turbulence intensity, 
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|[[File:OUIImages_Luk.png|700 px]]
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Notice the 'soccer-ball' and 'cauliflower' aspects of the front, as described by Zel'dovitch in the 40's.
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* See also some quantitative comparisons between FLAMEX and DNS (HALLEGRO) results at [http://www.coria-cfd.fr/index.php/H-Allegro#Direct_simulation_of_propagating_flames:_3D_expanding_front_.28Eric_Albin_.26_Yves_D.27Angelo.29]
 
* More details (and comparisons with experimental results) in [http://dx.doi.org/10.1016/j.ijnonlinmec.2011.05.018], [http://dx.doi.org/10.1016/j.combustflame.2011.12.019]
 
* More details (and comparisons with experimental results) in [http://dx.doi.org/10.1016/j.ijnonlinmec.2011.05.018], [http://dx.doi.org/10.1016/j.combustflame.2011.12.019]
  
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|+ System of equations, EEM and sample results of FB radius dynamics
 
|+ System of equations, EEM and sample results of FB radius dynamics
|[[File:OUIImages_Luk.png|700 px]]
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|[[File:Fbdynamics.png|700 px]]
 
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Revision as of 11:35, 1 April 2016

The FLAMEX Solver

Flamex.jpg

FLAMEX is a suite of solvers able to compute high accuracy solutions to non-linear non-local asymptotics-based evolution equations (EE), of 1rt For propagatong fronts, the EEM (Evolution Equation Modeling) can be found by solving exactly the set of

  • Euler equations
  • Rankine-Hugoniot jump relations
  • the local kinematic relation defining the local front velocity (e.g. with respect to local curvature).

when the density contrast between 'hot' and 'cold' fluids is asymptotically small.


Examples of first-order in time obtained EEM: for 2D planar, 3D planar, or 3D expanding fronts
OUIEEM-1D-2D.png OUIEqEEM 1D.png



Main features

  • Solving first-order or second order EE in the Fourier or Fourier-Legendre basis.
  • Time resolution using ETDRK1 and 4, using contour integrals to avoid cancelation errors (Trefethen et al. 2005)
  • EEM for 2D or 3D planar, 3D expanding/converging fronts, acoustics, fast-transients..
  • Laminar or turbulent configurations (EE with additive noise, e.g. Passot-Pouquet, Kraichnan-Celik, Von Karman/Pao or 'DNS turbulence')

Sample Results

Sample results for 3D planar fronts
OUIImages Luk.png


Sample results for 3D expanding fronts with variable turbulence intensity,
OUIImages Luk.png

Notice the 'soccer-ball' and 'cauliflower' aspects of the front, as described by Zel'dovitch in the 40's.

  • See also some quantitative comparisons between FLAMEX and DNS (HALLEGRO) results at [1]
  • More details (and comparisons with experimental results) in [2], [3]


Sub-module for asymptotic modeling of Flame-Balls

A sub-module of FLAMEX has also been devoted to the numerical solution to flame-balls (FB) dynamics. Using a Batchelor approximation for the surrounding Lagrangian flow and high activation energy asymptotics, we derived a nonlinear forced (stochastic) integrodifferential equation for the current FB radius. This gives access to the FB response to the ambiant Lagrangian rate-of-strain tensor g(t). For a diagonal g(t) deduced from random Markov processes of the Ornstein- Uhlenbeck type, or linearly filtered versions thereof, extensive numerical simulations and approximate theoretical analyses agree that 􏲖

  • flame balls can definitely live for much longer than their time of spontaneous expansion/collapse;
  • large enough values of t_life are compatible with Poisson statistics; 􏲖
  • the variations of􏱰 with the characteristics of g(t) mirror the latter’s statistics, more precisely that of trace(g*g).


System of equations, EEM and sample results of FB radius dynamics
Fbdynamics.png


Participants

Yves D'Angelo, Guy Joulin, Eric Albin, Rui Rego, Gaël Boury, Lancelot Boulet, Viphaphorn Srinavawongs, Yosifumi Tsuji.