GRI-Mech 3.0

GRI-Mech 3.0 is an optimized mechanism designed to model natural gas combustion, including NO formation and reburn chemistry. It is the successor to version 2.11, and another step in the continuing updating evolution of the mechanism. The optimization process is designed to provide sound basic kinetics which also furnish the best combined modeling predictability of basic combustion properties. Improvements were made in the categories of updating the kinetics with recent literature results, including some new and improved target experiments to the optimization, expanding the mechanism and target selection, and examining the sensitivity to the thermodynamics.

References in zbMATH (referenced in 25 articles )

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  1. Carpio, Jaime; Prieto, Juan Luis; Vera, Marcos: A local anisotropic adaptive algorithm for the solution of low-Mach transient combustion problems (2016)
  2. Frenklach, Michael; Packard, Andrew; Garcia-Donato, Gonzalo; Paulo, Rui; Sacks, Jerome: Comparison of statistical and deterministic frameworks of uncertainty quantification (2016)
  3. Yonkee, Nathan; Sutherland, James C.: PoKiTT: exposing task and data parallelism on heterogeneous architectures for detailed chemical kinetics, transport, and thermodynamics calculations (2016)
  4. Savard, B.; Xuan, Y.; Bobbitt, B.; Blanquart, G.: A computationally-efficient, semi-implicit, iterative method for the time-integration of reacting flows with stiff chemistry (2015)
  5. Tóth, János; Nagy, Attila László; Zsély, István Gyula: Structural analysis of combustion mechanisms (2015)
  6. Fischer, Marc; Riedel, Uwe: Combustion chemistry and parameter estimation (2013)
  7. Siehr, Jochen: Numerical optimization methods within a continuation strategy for the reduction of chemical combustion models (2013)
  8. Skovorodko, P.A.; Tereshchenko, A.G.; Korobeinichev, O.P.; Knyazkov, D.A.; Shmakov, A.G.: Experimental and numerical study of probe-induced perturbations of the flame structure (2013)
  9. Yang, Hongtao; Ren, Zhuyin; Lu, Tianfeng; Goldin, Graham M.: Dynamic adaptive chemistry for turbulent flame simulations (2013)
  10. Ayache, Simon; Mastorakos, Epaminondas: Conditional moment closure/large eddy simulation of the Delft-III natural gas non-premixed jet flame (2012)
  11. Jaishree, J.; Haworth, D.C.: Comparisons of Lagrangian and Eulerian PDF methods in simulations of non-premixed turbulent jet flames with moderate-to-strong turbulence-chemistry interactions (2012)
  12. Bergthorson, Jeffrey M.; Salusbury, Sean D.; Dimotakis, Paul E.: Experiments and modelling of premixed laminar stagnation flame hydrodynamics (2011)
  13. Chiavazzo, Eliodoro; Asinari, Pietro; Visconti, Filippo: Fast computation of multi-scale combustion systems (2011)
  14. Dunn, Matthew J.; Masri, Assaad R.; Bilger, Robert W.; Barlow, Robert S.: Finite rate chemistry effects in highly sheared turbulent premixed flames (2010)
  15. Cleary, M.J.; Klimenko, A.Y.: A generalised multiple mapping conditioning approach for turbulent combustion (2009)
  16. Di Sarli, V.; Di Benedetto, A.; Russo, G.; Jarvis, S.; Long, E.J.; Hargrave, G.K.: Large eddy simulation and PIV measurements of unsteady premixed flames accelerated by obstacles (2009)
  17. Lu, Liuyan; Pope, Stephen B.: An improved algorithm for \itin situ adaptive tabulation (2009)
  18. Lee, J.C.; Najm, H.N.; Lefantzi, S.; Ray, J.; Frenklach, M.; Valorani, M.; Goussis, D.A.: A CSP and tabulation-based adaptive chemistry model (2007)
  19. Bell, John B.; Day, Marcus S.; Grcar, Joseph F.; Lijewski, Michael J.: Active control for statistically stationary turbulent premixed flame simulations. (2006)
  20. Grcar, Joseph F.; Day, Marcus S.; Bell, John B.: A taxonomy of integral reaction path analysis (2006)

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