Second-order splitting schemes for a class of reactive systems

DOI10.1016/j.jcp.2008.05.019zbMath1147.65056OpenAlexW2037069883MaRDI QIDQ942260

Zhuyin Ren, Stephen B. Pope

Publication date: 5 September 2008

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2008.05.019

zbMATH Keywords

numerical examplesoperator splittingcontinuously stirred tank reactorreaction-transport systemsreduced description of reactive flows

Mathematics Subject Classification ID

Classical flows, reactions, etc. in chemistry (92E20) Nonlinear ordinary differential equations and systems (34A34) Numerical methods for initial value problems involving ordinary differential equations (65L05) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Chemically reacting flows (80A32) Transport processes in time-dependent statistical mechanics (82C70)

Related Items (7)

Efficient implementation of chemistry in computational combustion ⋮ Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs ⋮ Dynamic adaptive chemistry with operator splitting schemes for reactive flow simulations ⋮ Semi-implicit iterative methods for low Mach number turbulent reacting flows: operator splitting versus approximate factorization ⋮ reactingfoam-SCI: an open source CFD platform for reacting flow simulation ⋮ Dynamic load balance of chemical source term evaluation in high-fidelity combustion simulations ⋮ A hybrid, non-split, stiff/RKC, solver for advection–diffusion–reaction equations and its application to low-Mach number combustion

Uses Software

• CHEMKIN

Cites Work

• Adaptive low Mach number simulations of nuclear flame microphysics
• Studies of the accuracy of time integration methods for reaction-diffusion equations.
• An analysis of operator splitting techniques in the stiff case
• A semi-implicit numerical scheme for reacting flow. II: Stiff, operator-split formulation
• Analysis of operator splitting for advection-diffusion-reaction problems from air pollution modelling
• Computationally efficient implementation of combustion chemistry usingin situadaptive tabulation
• Numerical simulation of laminar reacting flows with complex chemistry
• Exploiting ISAT to solve the reaction–diffusion equation
• On the Construction and Comparison of Difference Schemes
• Operator-splitting with ISAT to model reacting flow with detailed chemistry
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