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 40 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. MacArt, Jonathan F.; Mueller, Michael E.: Semi-implicit iterative methods for low Mach number turbulent reacting flows: operator splitting versus approximate factorization (2016)
  4. Trisjono, Philipp; Kang, Seongwon; Pitsch, Heinz: On a consistent high-order finite difference scheme with kinetic energy conservation for simulating turbulent reacting flows (2016)
  5. Winokur, J.; Kim, D.; Bisetti, F.; Le Ma^ıtre, O.P.; Knio, O.M.: Sparse pseudo spectral projection methods with directional adaptation for uncertainty quantification (2016)
  6. Yonkee, Nathan; Sutherland, James C.: PoKiTT: exposing task and data parallelism on heterogeneous architectures for detailed chemical kinetics, transport, and thermodynamics calculations (2016)
  7. 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)
  8. Tóth, János; Nagy, Attila László; Zsély, István Gyula: Structural analysis of combustion mechanisms (2015)
  9. Ren, Zhuyin; Xu, Chao; Lu, Tianfeng; Singer, Michael A.: Dynamic adaptive chemistry with operator splitting schemes for reactive flow simulations (2014)
  10. Avdić, Amer; Kuenne, Guido; Ketelheun, Anja; Sadiki, Amsini; Jakirlić, Suad; Janicka, Johannes: High performance computing of the Darmstadt stratified burner by means of large eddy simulation and a joint ATF-FGM approach (2013)
  11. Fischer, Marc; Riedel, Uwe: Combustion chemistry and parameter estimation (2013)
  12. Siehr, Jochen: Numerical optimization methods within a continuation strategy for the reduction of chemical combustion models (2013)
  13. 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)
  14. Yang, Hongtao; Ren, Zhuyin; Lu, Tianfeng; Goldin, Graham M.: Dynamic adaptive chemistry for turbulent flame simulations (2013)
  15. Ayache, Simon; Mastorakos, Epaminondas: Conditional moment closure/large eddy simulation of the Delft-III natural gas non-premixed jet flame (2012)
  16. Beretta, Gian Paolo; Keck, James C.; Janbozorgi, Mohammad; Metghalchi, Hameed: The rate-controlled constrained-equilibrium approach to far-from-local-equilibrium thermodynamics (2012)
  17. 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)
  18. Bergthorson, Jeffrey M.; Salusbury, Sean D.; Dimotakis, Paul E.: Experiments and modelling of premixed laminar stagnation flame hydrodynamics (2011)
  19. Chiavazzo, Eliodoro; Asinari, Pietro; Visconti, Filippo: Fast computation of multi-scale combustion systems (2011)
  20. Yılmaz, S.L.; Nik, M.B.; Sheikhi, M.R.H.; Strakey, P.A.; Givi, P.: An irregularly portioned Lagrangian Monte Carlo method for turbulent flow simulation (2011)

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