Heterogeneous Multiscale Methods for Interface Tracking of Combustion Fronts

In this paper we investigate the heterogeneous multiscale methods (HMM) for interface tracking and apply the technique to the simulation of combustion fronts. Our goal is to overcome the numerical difficulties, which are caused by different time scales between the transport part and the reactive part in the model equations of some interface tracking problems, such as combustion processes. HMM relies on an efficient coupling between the macroscale and microscale models. When the macroscale model is not fully known explicitly or not valid in localized regions, HMM provides a procedure for supplementing the missing data from a microscale model. Here we design and analyze a multiscale scheme in which a localized microscale model resolves the details in the model and a phase field or a front tracking method defines the interface on the macroscale. This multiscale technique overcomes the difficulty of stiffness of common problems in combustion processes. Numerical results for Majda's model and reactive Euler eq...

[1]  Haitao Fan,et al.  Front motion in multi-dimensional viscous conservation laws with stiff source terms driven by mean curvature and variation of front thickness , 2003 .

[2]  E Weinan,et al.  Finite difference heterogeneous multi-scale method for homogenization problems , 2003 .

[3]  E. Weinan Analysis of the heterogeneous multiscale method for ordinary differential equations , 2003 .

[4]  Weizhu Bao,et al.  The Random Projection Method for Stiff Multispecies Detonation Capturing , 2002 .

[5]  D. Juric,et al.  A front-tracking method for the computations of multiphase flow , 2001 .

[6]  P. Roe Approximate Riemann Solvers, Parameter Vectors, and Difference Schemes , 1997 .

[7]  Björn Sjögreen,et al.  Numerical approximation of hyperbolic conservation laws with stiff terms , 1991 .

[8]  E Weinan,et al.  The heterogeneous multi-scale method for homogenization problems , 2005 .

[9]  Andrew J. Majda,et al.  Qualitative model for dynamic combustion , 1981 .

[10]  M. Berger,et al.  Adaptive mesh refinement for hyperbolic partial differential equations , 1982 .

[11]  Weizhu Bao,et al.  The Random Projection Method for Hyperbolic Conservation Laws with Stiff Reaction Terms , 2000 .

[12]  Randall J. LeVeque,et al.  A Modified Fractional Step Method for the Accurate Approximation of Detonation Waves , 2000, SIAM J. Sci. Comput..

[13]  B. Engquist,et al.  The segment projection method for interface tracking , 2003 .

[14]  P. Smereka,et al.  Coupling kinetic Monte-Carlo and continuum models with application to epitaxial growth , 2003 .

[15]  A. Bourlioux,et al.  Numerical study of unstable detonations , 1991 .

[16]  Björn Engquist,et al.  Heterogeneous multiscale methods for stiff ordinary differential equations , 2005, Math. Comput..

[17]  J. Keller,et al.  Fast reaction, slow diffusion, and curve shortening , 1989 .

[18]  E Weinan,et al.  The Heterogeneous Multi-Scale Method , 2002 .

[19]  Randall J. LeVeque,et al.  One-Dimensional Front Tracking Based on High Resolution Wave Propagation Methods , 1995, SIAM J. Sci. Comput..

[20]  Petra Klingenstein Hyperbolic conservation laws with source terms , 1994 .

[21]  R. LeVeque,et al.  Adaptive Mesh Refinement Using Wave-Propagation Algorithms for Hyperbolic Systems , 1998 .

[22]  Ronald Fedkiw,et al.  Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.

[23]  Elaine S. Oran,et al.  Numerical Simulation of Reactive Flow , 1987 .

[24]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[25]  E. M. Bulewicz Combustion , 1964, Nature.

[26]  J. Glimm,et al.  A critical analysis of Rayleigh-Taylor growth rates , 2001 .

[27]  P. Woodward,et al.  The Piecewise Parabolic Method (PPM) for Gas Dynamical Simulations , 1984 .

[28]  Randall J. LeVeque,et al.  A study of numerical methods for hyperbolic conservation laws with stiff source terms , 1990 .

[29]  Pingwen Zhang,et al.  Stochastic models of polymeric fluids at small Deborah number , 2004 .

[30]  P. Colella,et al.  Theoretical and numerical structure for reacting shock waves , 1986 .

[31]  R. LeVeque Numerical methods for conservation laws , 1990 .

[32]  S. Osher,et al.  Stable and entropy satisfying approximations for transonic flow calculations , 1980 .