Abstract
We compute the front speeds of the Kolmogorov-Petrovsky-Piskunov (KPP) reactive fronts in two prototypes of periodic incompressible flows (the cellular flows and the cat’s eye flows). The computation is based on adaptive streamline diffusion methods for the advection-diffusion type principal eigenvalue problem associated with the KPP front speeds. In the large amplitude regime, internal layers form in eigenfunctions. Besides recovering known speed growth law for the cellular flow, we found larger growth rates of front speeds in cat’s eye flows due to the presence of open channels, and the front speed slowdown due to either zero Neumann boundary condition at domain boundaries or frequency increase of cat’s eye flows.
Similar content being viewed by others
References
Abel, M., Cencini, M., Vergni, D., Vulpiani, A.: Front speed enhancement in cellular flows. Chaos 12, 481–488 (2002)
Audoly, B., Berestycki, H., Pomeau, Y.: Réaction diffusion en écoulement stationnaire rapide. C. R. Acad. Sci., Sér. 2, Méc. Phys. Chim. Astron. 328, 255–262 (2000)
Babuška, I., Osborn, J.E.: Eigenvalue problems. In: Handbook of Numerical Analysis, vol. II, pp. 641–787. North-Holland, Amsterdam (1991)
Babuška, I., Vogelius, M.: Feedback and adaptive finite element solution of one-dimensional boundary value problems. Numer. Math. 44, 75–102 (1984)
Beattie, C.: Galerkin eigenvector approximations. Math. Comput. 69, 1400–1434 (2000)
Berestycki, H., Hamel, F.: Front propagation in periodic excitable media. Commun. Pure Appl. Math. 55, 949–1032 (2002)
Berestycki, H., Hamel, F., Nadirashvili, N.: Elliptic eigenvalue problems with large drift and applications to nonlinear propagation phenomena. Commun. Math. Phys. 253, 451–480 (2005)
Bourlioux, A., Khouider, B.: Rigorous asymptotic perspective on the large scale simulations of turbulent premixed flames. Multiscale Model. Simul. 6, 287–307 (2007)
Chen, Z.: Reservoir simulation: mathematical techniques in oil recovery. In: CBMS-NSF Regional Conference Series in Applied Mathematics, vol. 77. SIAM, Philadelphia (2007)
Chen, Z., Huan, G.-R., Ma, Y.: Computational methods for multiphase flows in porous media. In: Computational Science and Engineering Series, vol. 2. SIAM, Philadelphia (2006)
Childress, S., Soward, A.M.: Scalar transport and alpha-effect for a family of cat’s eye flows. J. Fluid Mech. 205, 99–133 (1989)
Clavin, P., Williams, F.: Theory of premixed-flame propagation in large-scale turbulence. J. Fluid Mech. 90, 598–604 (1979)
Constantin, P., Kiselev, A., Oberman, A., Ryzhik, L.: Bulk burning rate in passive-reactive diffusion. Arch. Ration. Mech. Anal. 154, 53–91 (2000)
Dai, X., Xu, J., Zhou, A.: Convergence and optimal complexity of adaptive finite element eigenvalue computations. Numer. Math. 110, 313–355 (2008)
Eriksson, K., Johnson, C.: Adaptive streamline diffusion finite element methods for stationary convection-diffusion problems. Math. Comput. 60, 167–188 (1993)
Fannjiang, A., Papanicolaou, G.: Convection enhanced diffusion for periodic flows. SIAM J. Appl. Math. 54, 333–408 (1992)
Hughes, T.J.R., Brooks, A.N.: A multidimensional upwind scheme with no crosswind diffusion. In: Hughes, T.J.R. (ed.) Finite Element Methods for Convection Dominated Flows. ASME, New York (1979)
Johnson, C.: Numerical Solution of Partial Differential Equations by the Finite Element Method. Cambridge University Press, Cambridge (1987)
Majda, A., Souganidis, P.: Flame fronts in a turbulent combustion model with fractal velocity fields. Commun. Pure Appl. Math. 51, 1337–1348 (1998)
Mao, D., Shen, L., Zhou, A.: Adaptive finite element algorithms for eigenvalue problems based on local averaging type a posteriori error estimates. Adv. Comput. Math. 25, 135–160 (2006)
Nävert, U.: A finite element method for convection-diffusion problems. Ph.D. thesis, Chalmers University of Technology Göteberg (1982)
Nolen, J., Xin, J.: Computing reactive front speeds in random flows by variational principle. Physica D 237, 3172–3177 (2008)
Novikov, A., Ryzhik, L.: Boundary layers and KPP fronts in a cellular flow. Arch. Ration. Mech. Anal. 184, 23–48 (2007)
Peters, N.: Turbulent Combustion. Cambridge University Press, Cambridge (2000)
Ronney, P.: Some open issues in premixed turbulent combustion. In: Buckmaster, J.D., Takeno, T. (eds.) Modeling in Combustion Science. Lecture Notes in Physics, vol. 449, pp. 3–22. Springer, Berlin (1995)
Roos, H.-G., Stynes, M., Tobiska, L.: Robust Numerical Methods for Singularly Perturbed Differential Equations. Springer Series in Computational Mathematics, vol. 24, 2nd edn. (2008)
Ryzhik, L., Zlatos, A.: KPP pulsating front speed-up by flows. Commun. Math. Sci. 5, 575–593 (2007)
Shen, L., Xin, J., Zhou, A.: Finite element computation of KPP front speeds in random shear flows in cylinders. Multiscale Model. Simul. 7, 1029–1041 (2008)
Sivashinsky, G.: Cascade-renormalization theory of turbulent flame speed. Combust. Sci. Technol. 62, 77–96 (1988)
Verfüth, R.: A Review of a Posteriori Error Estimates and Adaptive Mesh-Refinement Techniques. Wiley, New York (1996)
Verfüth, R.: Robust a posteriori error estimates for stationary convection-diffusion equations. SIAM J. Numer. Anal. 43, 1766–1782 (2005)
Williams, F.: Turbulent combustion. In: Buckmaster, J. (ed.) The Mathematics of Combustion, pp. 97–131. SIAM, Philadelphia (1985)
Xin, J.: An Introduction to Fronts in Random Media. Surveys and Tutorials in the Applied Mathematical Sciences, vol. 5. Springer, Berlin (2009)
Xin, J., Yu, Y.: Analysis and comparison of large time front speeds in turbulent combustion models. (2011). arXiv:1105.5607
Yakhot, V.: Propagation velocity of premixed turbulent flames. Combust. Sci. Technol. 60, 191–214 (1988)
Zlatos, A.: Sharp asymptotics for KPP pulsating front speed-up and diffusion enhancement by flows. Arch. Ration. Mech. Anal. 195, 441–453 (2010)
Zlatos, A.: Reaction-diffusion front speed enhancement by flows. Ann. Inst. Henri Poincaré, Anal. Non Linéaire 28, 711–726 (2011)
Acknowledgements
LS was partially supported by National Science Foundation of China under grants 10801101, 10871198 and 11171232. JX was partially supported by NSF under grants DMS-0712881, DMS-0911277 and DMS-1211179. AZ was partially supported by the National Science Foundation of China under grants 10871198 and 10971059, the Funds for Creative Research Groups of China under grant 11021101, and the National Basic Research Program of China under grant 2011CB309703. LS would like to thank Dr. Zhiqiang Sheng at Beijing Institute of Applied Physics and Computational Mathematics for providing the Stabilized BICG solver. Part of the data are computed on the supercomputer O3800 in the Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese academy of Sciences.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Shen, L., Xin, J. & Zhou, A. Finite Element Computation of KPP Front Speeds in Cellular and Cat’s Eye Flows. J Sci Comput 55, 455–470 (2013). https://doi.org/10.1007/s10915-012-9641-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10915-012-9641-4